Статті в журналах: "Model of provenance"

1

Stojnić, Srđan, S. Orlović, D. Ballian, M. Ivankovic, M. Šijačić-Nikolić, A. Pilipović, S. Bogdan, et al. "Provenance by site interaction and stability analysis of European beech (Fagus sylvatica L.) provenances grown in common garden experiments." Silvae Genetica 64, no. 1-6 (December 1, 2015): 133–47. http://dx.doi.org/10.1515/sg-2015-0013.

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AbstractFifteen provenances of European beech (Fagus sylvatica L.) were evaluated for stability and adaptability by height growth at four test sites in Bosnia and Herzegovina (1), Croatia (1) and Serbia (2). Provenance trials were established in spring 2007 by planting 2- and 3-yearold seedlings and arranged in a randomized complete block design. The data from seven 6- year-old and eight 5-year-old provenances were obtained in 2009 and analyzed separately. Finlay and Wilkinson’s regression analysis and Additive main effects and multiplicative interaction model (AMMI model) were used to assess provenance by site interaction (P × S) and to identify beech provenances that have high and stable performance in different environments, at the juvenile stage of development. Analysis of variance showed that effects of provenance, site, and P×S interaction are highly significant (p<0.001) in both age groups. Linear regression model evidenced that most of the provenances had regression coefficients not significantly different from unity (b=1.0), except for provenances Sjeverni Dilj Caglinski (HR24) and Vranica-Bistrica (BA59). The partitioning of the total sum of squares (SS) exhibited that the site effect was the predominant source of variation in both age groups of provenances (50.7% and 38.5%, respectively). Additionally, regression analysis explained 15.8% and 33.2% of provenance by site interaction terms, in provenances age six and five years, respectively, while the AMMI analysis accounted for 62.2% and 78.7% in P×S interaction. The results of AMMI showed that the first principal component (PC1) was statistically significant in both age groups. Adaptability and stability of provenances to the test sites were estimated with AMMI1 and AMMI2 biplots. Provenance Sjeverni Dilj Caglinski (HR24) showed constant performance over tested sites, characterizing with aboveaverage height growth at low yielding environments. Provenances HR25 and BA61 showed the opposite type of adaptation, being adapted to high yielding sites. Provenance Valkonya (HU42) was characterized by IPCA1 score close to zero and above average mean height growth, suggesting general adaptation to the tested environments. The implication of P×S was discussed in light of impact of climate change on beech and selection of most suitable provenances for future reforestation programs.

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2

Funda, T., M. Lstibůrek, J. Klápště, I. Permedlová, and J. Kobliha. "Addressing spatial variability in provenance experiments exemplified in two trials with black spruce." Journal of Forest Science 53, No. 2 (January 7, 2008): 47–56. http://dx.doi.org/10.17221/2135-jfs.

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Two exemplary black spruce (<i>Picea mariana</i> [Mill.] B.S.P.) provenance trials were analyzed using traditional and spatial techniques. The objective was to find out possible differences between these approaches in terms of both the resulting fit-statistics and the estimated mean heights of provenances. Further, the spatial model was consequently adjusted to treat global and extraneous sources of variation. As expected, models incorporating spatial variation provided a better fit to the data. Consequently, there was also a noticeable shift in ranking of individual provenances, which has an important implication for the interpretation of provenance experiments results. Problems associated with the analysis of traditional randomized block designs in forestry research are discussed.

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3

Lavadinovic, Vera, Ljubinko Rakonjac, Danijela Djunisijevic-Bojovic, Zoran Miletic, and Filip Jovanovic. "Variability of potassium concentration in the needles of Douglas-fir provenances." Bulletin of the Faculty of Forestry, no. 120 (2019): 97–116. http://dx.doi.org/10.2298/gsf1920097l.

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Douglas-fir is one of the most common conifer species in the forest plantations of Europe. The provenance test model is based on the analysis of the properties (growth, anatomical, physiological, chemical, mechanical and other properties) of Douglas-fir in order to justify the transfer of seeds from North America to the ecosystems of Serbia. This type of program has been implemented in Serbia on several locations using different Douglas-fir provenances. Given that the analysis of different physiological properties of trees is important for the introduction of specified provenances into habitats in Serbia, in this paper the variability of potassium concentration in young Douglas-fir needles of different provenances was examined in an experimental field in Serbia. Potassium is very important in the physiological processes of plants. It is an essential element involved in a number of biochemical and physiological processes and plays a significant role in the adaptation of plants on biotic and abiotic stress factors. The highest potassium concentration was found in the ?Oregon 205-14? provenance - the only provenance in which the potassium concentration was significantly higher than the average value, so it can be characterized as a superior provenance for the uptake and accumulation of this element. It was found that, at this stage of development, the differences in the potassium concentration in trees in the provenance test have no significant effect on growth parameters. Further studies should show whether the concentration of this biogenic element in any way affects other properties important for the selection of provenances during the introduction process, such as resistance to stress factors.

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4

Al-Fedaghi, Sabah. "Flow-Based Provenance." Informing Science: The International Journal of an Emerging Transdiscipline 20 (2017): 019–36. http://dx.doi.org/10.28945/3665.

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Aim/Purpose: With information almost effortlessly created and spontaneously available, current progress in Information and Communication Technology (ICT) has led to the complication that information must be scrutinized for trustworthiness and provenance. Information systems must become provenance-aware to be satisfactory in accountability, reproducibility, and trustworthiness of data. Background: Multiple models for abstract representation of provenance have been proposed to describe entities, people, and activities involved in producing a piece of data, including the Open Provenance Model (OPM) and the World Wide Web Consortium. These models lack certain concepts necessary for specifying workflows and encoding the provenance of data products used and generated. Methodology: Without loss of generality, the focus of this paper is on OPM depiction of provenance in terms of a directed graph. We have redrawn several case studies in the framework of our proposed model in order to compare and evaluate it against OPM for representing these cases. Contribution: This paper offers an alternative flow-based diagrammatic language that can form a foundation for modeling of provenance. The model described here provides an (abstract) machine-like representation of provenance. Findings: The results suggest a viable alternative in the area of diagrammatic representation for provenance applications. Future Research: Future work will seek to achieve more accurate comparisons with current models in the field.

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5

Can, Ozgu, and Dilek Yilmazer. "A novel approach to provenance management for privacy preservation." Journal of Information Science 46, no. 2 (February 21, 2019): 147–60. http://dx.doi.org/10.1177/0165551519827882.

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Provenance determines the origin of the data by tracing and recording the actions that are performed on the data. Therefore, provenance is used in many fields to ensure the reliability and quality of data. In this work, provenance information is used to meet the security needs in information systems. For this purpose, a domain-independent provenance model is proposed. The proposed provenance model is based on the Open Provenance Model and Semantic Web technologies. The goal of the proposed provenance model is to integrate the provenance and security concepts in order to detect privacy violations by querying the provenance data. In order to evaluate the proposed provenance model, we illustrated our domain-independent model by integrating it with an infectious disease domain and implemented the Healthcare Provenance Information System.

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6

Sultana, Salmin, and Elisa Bertino. "A Distributed System for The Management of Fine-grained Provenance." Journal of Database Management 26, no. 2 (April 2015): 32–47. http://dx.doi.org/10.4018/jdm.2015040103.

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Existing provenance systems operate at a single layer of abstraction (workflow/process/OS) at which they record and store provenance. However, the provenance captured from different layers provides the highest benefit when integrated through a unified provenance framework. To build such a framework, a comprehensive provenance model able to represent the provenance of data objects with various semantics and granularity is the first step. In this paper, the authors propose a provenance model able to represent the provenance of any data object captured at any abstraction layer and present an abstract schema of the model. The expressive nature of the model enables a wide range of provenance queries. The authors also illustrate the utility of their model in real world data processing systems. In the paper, they also introduce a data provenance distributed middleware system composed of several different components and services that capture provenance according to their model and securely stores it in a central repository. As part of our middleware, the authors present a thin stackable file system, called FiPS, for capturing local provenance in a portable manner. FiPS is able to capture provenance at various degrees of granularity, transform provenance records into secure information, and direct the resulting provenance data to various persistent storage systems.

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7

Kim, In-Sik, Hae-Yun Kwon, Keun-Ok Ryu, and Wan Yong Choi. "Provenance by Site Interaction of Pinus densiflora in Korea." Silvae Genetica 57, no. 1-6 (December 1, 2008): 131–39. http://dx.doi.org/10.1515/sg-2008-0020.

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Abstract Thirty-six provenances of Pinus densiflora were evaluated for stability and adaptability for height growth at 11 test sites in Korea. The data were obtained from measurements at age 6 and analyzed using linear regression model and AMMI (additive main effect and multiplicative interaction) model. There was significant provenance by site interaction effect (p < 0.011). The interaction term explained 7.1% of total variation. While the regression model accounted for 15.8% of GxE interaction term, the AMMI model accounted for 74.9% with four PCA values. Most of the provenances were not significantly different from the unity (b =1.0), except for Inje (1), Jungsun (4), Bongwha (5), Koryung (26), Hamyang (30) and Seoguipo (36). Adaptability of provenances to the test sites was estimated with mean height growth and first AMMI component scores (IPCA 1). Inje (1), Bongwha (5), Taean (20) and Seoguipo (36) were specifically adapted to the high yielding environments. Considering the first and second AMMI components (IPCA 1 and IPCA 2, respectively) scores, Whachun (2), Samchuk (10), Joongwon (14) and Buan (29) provenances were more stable than others. The implication of GxE interaction was discussed in view of seed transfer and delineation of seed zones.

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8

O’Neill, Gregory A., Gordon Nigh, Tongli Wang, and Peter K. Ott. "Growth response functions improved by accounting for nonclimatic site effects." Canadian Journal of Forest Research 37, no. 12 (December 2007): 2724–30. http://dx.doi.org/10.1139/x07-100.

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Growth response functions (GRFs) that relate the growth of a population to the climate of the sites in which it is tested are gaining attention for their ability to predict impacts of climate change on tree growth. However, nonclimatic site to site variation introduces error into GRFs. Using data from a large lodgepole pine ( Pinus contorta Dougl. ex Loud.) provenance test in British Columbia and the Yukon, Canada, a technique is presented that accounts for the effect of nonclimatic variation in GRFs. The mean height of the “local” provenances at each test site was used to predict “site height” from site climate variables in multiple regression. Residuals from the site height equation provided an index of the nonclimatic effect for each site and were included as a covariate in quadratic GRFs that related provenance height at each test site to mean annual temperature at each test site. Inclusion of the nonclimatic index in the model resulted in a moderate or large displacement of GRFs for 25% of the provenances, while increasing mean R2 values for 138 of 140 provenances and decreasing the root mean squared error for 113 of 140 provenances. These results suggest that inclusion of the nonclimatic index in GRF models could substantially affect height predictions for some provenances and reduce prediction error for most provenances.

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9

Li, Chunqiu, and Shigeo Sugimoto. "Provenance description of metadata application profiles for long-term maintenance of metadata schemas." Journal of Documentation 74, no. 1 (January 8, 2018): 36–61. http://dx.doi.org/10.1108/jd-03-2017-0042.

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Purpose Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas. Design/methodology/approach The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English. Findings Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time. Research limitations/implications The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered. Originality/value This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance description.

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10

Tannen, Val. "Provenance analysis for FOL model checking." ACM SIGLOG News 4, no. 1 (February 9, 2017): 24–36. http://dx.doi.org/10.1145/3051528.3051533.

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11

Li, Chunqiu, and Shigeo Sugimoto. "Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata." Journal of Data and Information Science 2, no. 2 (March 21, 2017): 41–55. http://dx.doi.org/10.1515/jdis-2017-0007.

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Abstract Purpose The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance. Design/methodology/approach The W3C PROV standard for general provenance description and Resource Description Framework (RDF) are adopted as the base models to formally define provenance description for metadata vocabularies. Findings This paper defines a few primitive change types of metadata terms, and a provenance description model of the metadata terms based on the primitive change types. We also provide examples of provenance description in RDF graphs to show the proposed model. Research limitations The model proposed in this paper is defined based on a few primitive relationships (e.g. addition, deletion, and replacement) between pre-version and post-version of a metadata term. The model is simplified and the practical changes of metadata terms can be more complicated than the primitive relationships discussed in the model. Practical implications Formal provenance description of metadata vocabularies can improve maintainability of metadata vocabularies over time. Conventional maintenance of metadata terms is the maintenance of documents of terms. The proposed model enables effective and automated tracking of change history of metadata vocabularies using simple formal description scheme defined based on widely-used standards. Originality/value Changes in metadata vocabularies may cause inconsistencies in the longterm use of metadata. This paper proposes a simple and formal scheme of provenance description of metadata vocabularies. The proposed model works as the basis of automated maintenance of metadata terms and their vocabularies and is applicable to various types of changes.

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12

Jovanović, Filip, Vera Lavadinović, Ljubinko Rakonjac, Snežana Stajić, and Zoran Miletić. "Variability of potassium content in the needles of Douglas-fir provenances of Canadian origin." Sustainable Forestry: Collection, no. 81-82 (2020): 29–39. http://dx.doi.org/10.5937/sustfor2081029j.

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The provenance test model is based on the analysis of growth, anatomical, physiological, chemical, mechanical, and other properties of an allochthonous species to justify its transfer from the place of origin to new ecosystems. Douglas-fir is one of the most common allochthonous conifer species in the forest plantations of Europe. Given that the analysis of different physiological properties of trees is important for the introduction of specified provenances into new habitats, this paper presents the results of an investigation of the variability of potassium content in young Douglas-fir needles of 14 Canadian provenances raised on two experimental sites in Belgrade. Potassium is an essential element involved in a number of biochemical and physiological processes and plays a significant role in the adaptation of plants on biotic and abiotic stress factors. Determination of the deviation of potassium content in the needles of each Douglas-fir provenance studied was performed using the Z-test.

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13

Chuine, Isabelle, Gerald E. Rehfeldt, and Sally N. Aitken. "Height growth determinants and adaptation to temperature in pines: a case study of Pinus contorta and Pinus monticola." Canadian Journal of Forest Research 36, no. 5 (May 1, 2006): 1059–66. http://dx.doi.org/10.1139/x06-005.

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In this study we aimed to compare and explain the height growth performance of two contrasting pine species: lodgepole pine (Pinus contorta Dougl. ex. Loud) and western white pine(Pinus monticola Dougl. ex D. Don.). We compiled measurements of total height growth at different ages and shoot elongation phenology realized in several provenance test trials for 109 provenances of lodgepole pine and 54 provenances of western white pine. The response of shoot elongation to temperature was assessed using a phenological model fitted on provenance mean growth curves. Although total height growth followed the same geographic trends in both species, the response of shoot elongation to temperature was different between the two, with few (lodgepole pine) or no differences among provenances (western white pine) from diverse geographic regions. The temperature for which potential cell growth rate is 50% was 10.8 ± 0.13 °C (mean ± standard error) for western white pine compared to 5.26 ± 0.075 °C for lodgepole pine. Phenology did not explain growth performance differences among geographical regions in both species, which instead were explained by differences in the number of internodes set the preceding summer; provenances originating from stressful environments produced the fewest internodes, possibly due to reallocation of carbohydrates to stress resistance.

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Chen-Chieh Feng. "Mapping Geospatial Metadata to Open Provenance Model." IEEE Transactions on Geoscience and Remote Sensing 51, no. 11 (November 2013): 5073–81. http://dx.doi.org/10.1109/tgrs.2013.2252181.

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15

Ciobanu, Gabriel, and Ross Horne. "A Provenance Tracking Model for Data Updates." Electronic Proceedings in Theoretical Computer Science 91 (August 15, 2012): 31–44. http://dx.doi.org/10.4204/eptcs.91.3.

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16

Moreau, Luc, Ben Clifford, Juliana Freire, Joe Futrelle, Yolanda Gil, Paul Groth, Natalia Kwasnikowska, et al. "The Open Provenance Model core specification (v1.1)." Future Generation Computer Systems 27, no. 6 (June 2011): 743–56. http://dx.doi.org/10.1016/j.future.2010.07.005.

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Chen, Yingjie Victor, Zhenyu Cheryl Qian, Robert Woodbury, John Dill, and Chris D. Shaw. "Employing a Parametric Model for Analytic Provenance." ACM Transactions on Interactive Intelligent Systems 4, no. 1 (April 2014): 1–32. http://dx.doi.org/10.1145/2591510.

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Simmhan, Yogesh, Paul Groth, and Luc Moreau. "Special Section: The third provenance challenge on using the open provenance model for interoperability." Future Generation Computer Systems 27, no. 6 (June 2011): 737–42. http://dx.doi.org/10.1016/j.future.2010.11.020.

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Tang, Deyou, Rong Zhao, Yuebang Lin, Tangqing Zhang, and Pingjian Zhang. "Modeling the Data Provenance of Relational Databases Supporting Full-Featured SQL and Procedural Languages." Applied Sciences 13, no. 1 (December 21, 2022): 64. http://dx.doi.org/10.3390/app13010064.

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Data provenance is information about where data come from (provenance data) and how they transform (provenance transformation). Data provenance is widely used to evaluate data quality, trace errors, audit data, and understand references among data. Current studies on data provenance in relational database management systems (RDBMS) still have limitations in supporting full-featured SQL or procedural languages. With these challenges in mind, we present a formal definition of provenance data and provenance transformation for relational data. Then, we propose a solution to support data provenance in relational databases, including provenance graphs and provenance routes. Our method not only solves the complicated problem of modeling provenance in DBMS but also is capable of extending procedural languages in SQL. We also present ProvPg, a PostgreSQL-based prototype database system supporting data provenance in multiple granularities. ProvPg implements extraction, calculation, query, and visualization of provenance. We perform TPC-H tests for ProvPg and PostgreSQL, respectively. Experimental results show that ProvPg addresses the vision of supporting data provenance with little extra computation overhead for the execution engine, which indicates that our model is applicable to lineage tracing applications.

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Budde, Kai, Jacob Smith, Pia Wilsdorf, Fiete Haack, and Adelinde M. Uhrmacher. "Relating simulation studies by provenance—Developing a family of Wnt signaling models." PLOS Computational Biology 17, no. 8 (August 5, 2021): e1009227. http://dx.doi.org/10.1371/journal.pcbi.1009227.

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For many biological systems, a variety of simulation models exist. A new simulation model is rarely developed from scratch, but rather revises and extends an existing one. A key challenge, however, is to decide which model might be an appropriate starting point for a particular problem and why. To answer this question, we need to identify entities and activities that contributed to the development of a simulation model. Therefore, we exploit the provenance data model, PROV-DM, of the World Wide Web Consortium and, building on previous work, continue developing a PROV ontology for simulation studies. Based on a case study of 19 Wnt/β-catenin signaling models, we identify crucial entities and activities as well as useful metadata to both capture the provenance information from individual simulation studies and relate these forming a family of models. The approach is implemented in WebProv, a web application for inserting and querying provenance information. Our specialization of PROV-DM contains the entities Research Question, Assumption, Requirement, Qualitative Model, Simulation Model, Simulation Experiment, Simulation Data, and Wet-lab Data as well as activities referring to building, calibrating, validating, and analyzing a simulation model. We show that most Wnt simulation models are connected to other Wnt models by using (parts of) these models. However, the overlap, especially regarding the Wet-lab Data used for calibration or validation of the models is small. Making these aspects of developing a model explicit and queryable is an important step for assessing and reusing simulation models more effectively. Exposing this information helps to integrate a new simulation model within a family of existing ones and may lead to the development of more robust and valid simulation models. We hope that our approach becomes part of a standardization effort and that modelers adopt the benefits of provenance when considering or creating simulation models.

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Liu, Jun, and Sudha Ram. "Improving the Domain Independence of Data Provenance Ontologies." Journal of Database Management 28, no. 1 (January 2017): 43–62. http://dx.doi.org/10.4018/jdm.2017010104.

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Provenance is becoming increasingly important as more and more people are using data that they themselves did not generate. In the last decade, significant efforts have been directed toward developing generic, shared data provenance ontologies that support the interoperability of provenance across systems. An issue that is impeding the use of such provenance ontologies is that a generic provenance ontology, no matter how complete it is, is insufficient for capturing the diverse, complex provenance requirements in different domains. In this paper, the authors propose a novel approach to adapting and extending the W7 model, a well-known generic ontology of data provenance. Relying on various knowledge expansion mechanisms provided by the Conceptual Graph formalism, the authors' approach enables us to develop domain ontologies of provenance in a disciplined yet flexible way.

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Socha, Jarosław, and Marian Kulej. "Provenance-dependent variability of Abies grandis stem form under mountain conditions of Beskid Sądecki (southern Poland)." Canadian Journal of Forest Research 35, no. 11 (November 1, 2005): 2539–52. http://dx.doi.org/10.1139/x05-167.

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This study compared the stem form of different provenances of Abies grandis Lindl. under the mountain conditions of Poland. Seven partial populations of this species, originating from two regions in its natural range, were tested. It was concluded that creating separate stem form models is an effective method for comparing stem forms, because the model curves for the groups under comparison are not affected by tree dimensions. The results of this study showed distinct variation in the tested populations of A. grandis in respect to stem form according to provenance (genotype). These differences are particularly evident between provenances from the different regions determined by Müller (K.M. Müller. 1935. Mitt. Deutcsh. Dendrol. Ges. 44: 54123 and K.M. Müller. 1936. Mitt. Deutcsh. Dendrol. Ges. 47: 82132). In general terms, trees representing provenances from region II are characterized by greater cylindricity in comparison with trees from region I. At equal DBH and height, the volume of trees from regions I was smaller than the volume of trees from region II by an average of approximately 7.6%.

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Wang, Feng Ying, and Xiu Mei Li. "Research on Confidentiality about Provenance Based on Logical Key Hierarchy." Advanced Materials Research 219-220 (March 2011): 1664–69. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1664.

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By analysing the security needs and the threat model of data provenance, a Key distribution algorithm based on Logical Key Hierarchy(LKH) is brought forward aiming at the confidentiality of provenance. In this paper, we make use of the LKH tree to reduce the storage of the keys for session encryption keys(SEK) of provenance records and decrease the transmission overhead of the provenance chains, which meet the requirement of compressing provenance chains, and then propose the method of dynamic expansion number of auditors that works out the problem of the auditors number dynamic changes existing in the safety requirements for confidentiality of provenance records.

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Huang, Li, and Hong Bing Cheng. "Query Optimization Based on Data Provenance." Advanced Materials Research 186 (January 2011): 586–90. http://dx.doi.org/10.4028/www.scientific.net/amr.186.586.

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Data Provenance is a key of evaluating authority and uncertainty in data query. Query process technology based on data provenance overcomes the shortcomings of traditional data integration on query quality and efficiency. This paper constructs a data model of heterogeneous data sources provenance, i.e. Semiring Provenance, based on tracing provenance of data origination and evolution. It’s proved to be effective in creating mapping between heterogeneous schemas and optimizing query quality and authority evaluation. Experiments using real data set show that our approach provides an effective and scalable solution for query optimization technology.

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Harris, Natalie, Claudia Gonzalez Viejo, Christopher Barnes, and Sigfredo Fuentes. "Non-Invasive Digital Technologies to Assess Wine Quality Traits and Provenance through the Bottle." Fermentation 9, no. 1 (December 23, 2022): 10. http://dx.doi.org/10.3390/fermentation9010010.

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Due to increased fraud rates through counterfeiting and adulteration of wines, it is important to develop novel non-invasive techniques to assess wine quality and provenance. Assessment of quality traits and provenance of wines is predominantly undertaken with complex chemical analysis and sensory evaluation, which tend to be costly and time-consuming. Therefore, this study aimed to develop a rapid and non-invasive method to assess wine vintages and quality traits using digital technologies. Samples from thirteen vintages from Dookie, Victoria, Australia (2000–2021) of Shiraz were analysed using near-infrared spectroscopy (NIR) through unopened bottles to assess the wine chemical fingerprinting. Three highly accurate machine learning (ML) models were developed using the NIR absorbance values as inputs to predict (i) wine vintage (Model 1; 97.2%), (ii) intensity of sensory descriptors (Model 2; R = 0.95), and (iii) peak area of volatile aromatic compounds (Model 3; R = 0.88). The proposed method will allow the assessment of provenance and quality traits of wines without the need to open the wine bottle, which may also be used to detect wine fraud and provenance. Furthermore, low-cost NIR devices are available in the market with required spectral range and sensitivity, which can be affordable for winemakers and retailers and can be used with the machine learning models proposed here.

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26

Kwasnikowska, Natalia, Luc Moreau, and Jan Van Den Bussche. "A Formal Account of the Open Provenance Model." ACM Transactions on the Web 9, no. 2 (May 26, 2015): 1–44. http://dx.doi.org/10.1145/2734116.

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Groth, Paul, and Luc Moreau. "Representing distributed systems using the Open Provenance Model." Future Generation Computer Systems 27, no. 6 (June 2011): 757–65. http://dx.doi.org/10.1016/j.future.2010.10.001.

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Miles, Simon. "Mapping attribution metadata to the Open Provenance Model." Future Generation Computer Systems 27, no. 6 (June 2011): 806–11. http://dx.doi.org/10.1016/j.future.2010.10.007.

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Bambič, Sebastian, Kristjan Jarni, Gregor Božič, and Robert Brus. "Uspevanje omorike (Picea omorika (Pančić) Purk.) v generativnem semenskem nasadu Počivalnik pri Postojni." Acta Silvae et Ligni 123 (2020): 1–11. http://dx.doi.org/10.20315/asetl.123.1.

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Serbian spruce (Picea omorika (Pančić) Purk.) is an endemic tree species from the Balkan Peninsula. The species also thrives in Slovenia and would be an interesting minority alternative to Norway spruce (Picea abies (L.) Karst.) on some sites. This study was carried out in a Serbian spruce plantation below Počivalnik hill, between Unec and Postojna. The trees were planted in 1988 and are currently classified as a pole stand. We measured the diameters of the trees and systematically evaluated the vitality of each tree throughout the plantation. Data processing consisted of calculating the percentage of trees of each health status for each provenance and phenotype present in the plantation, creating a plantation model, and performing an analysis of variance and Tukey's post-hoc test. We found that provenance has a significant effect on the vitality of trees but not on tree diameter. Phenotype affects both the vitality of trees and tree diameter. The correlation between phenotype and tree diameter is significant within phenotypes B (type %semidichotomy%) and C (type %serbica%). Also, the impact of phenotype on diameter increment varies between the different provenances. According to our investigations, the most suitable seed material for the Dinaric karst region of Slovenia is from the Šargan provenance (read Shargan). In terms of phenotype, types C ('serbica') and F ('argentea') seem to be the most suitable. They are also the most desirable for horticultural use.

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Closa, Guillem, Joan Masó, Núria Julià, and Xavier Pons. "Geospatial Queries on Data Collection Using a Common Provenance Model." ISPRS International Journal of Geo-Information 10, no. 3 (March 5, 2021): 139. http://dx.doi.org/10.3390/ijgi10030139.

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Lineage information is the part of the metadata that describes “what”, “when”, “who”, “how”, and “where” geospatial data were generated. If it is well-presented and queryable, lineage becomes very useful information for inferring data quality, tracing error sources and increasing trust in geospatial information. In addition, if the lineage of a collection of datasets can be related and presented together, datasets, process chains, and methodologies can be compared. This paper proposes extending process step lineage descriptions into four explicit levels of abstraction (process run, tool, algorithm and functionality). Including functionalities and algorithm descriptions as a part of lineage provides high-level information that is independent from the details of the software used. Therefore, it is possible to transform lineage metadata that is initially documenting specific processing steps into a reusable workflow that describes a set of operations as a processing chain. This paper presents a system that provides lineage information as a service in a distributed environment. The system is complemented by an integrated provenance web application that is capable of visualizing and querying a provenance graph that is composed by the lineage of a collection of datasets. The International Organization for Standardization (ISO) 19115 standards family with World Wide Web Consortium (W3C) provenance initiative (W3C PROV) were combined in order to integrate provenance of a collection of datasets. To represent lineage elements, the ISO 19115-2 lineage class names were chosen, because they express the names of the geospatial objects that are involved more precisely. The relationship naming conventions of W3C PROV are used to represent relationships among these elements. The elements and relationships are presented in a queryable graph.

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Jagiełło, Radosław, Adrian Łukowski, and Wojciech Kowalkowski. "The Polish Provenances of European Larch Overperform the Expected Growth Dynamics Indicated by the Sigmoid Model." Forests 13, no. 11 (November 5, 2022): 1852. http://dx.doi.org/10.3390/f13111852.

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This article attempts an unusual interpretation of the observations characteristic of experiments that compare different tree species’ provenances. The focus falls on larch (Larix decidua subsp. polonica). The data came from the experiment established in 1967 at the Siemianice forest experimental station, where 21 Polish larch provenances were compared. The study’s main objective was to compare the basic estimates of growth dynamics, the maximum growth rate and acceleration, and the point in time when these values were achieved. A four-parameter sigmoid growth function was used to model the average stand basal area increments and its first and second derivatives to calculate the indicators of the growth dynamic. The models explained 98% of the observed variations resulting from the 21 inventories. Only one growth parameter showed a statistically significant difference among the compared provenances. The Góra Chełmowa provenance achieved the highest value of the maximum growth acceleration, but it was statistically significantly different only from the three underperformed provenances. However, when the average values for all the experimental plots (n = 86) were compared with those of the deterministic model (the stand volume and yield tables), the maximum growth rate and acceleration values were higher for the former. We discuss the potential factors responsible for this overperformance and point out the potential risks that arise from growth and quality metrics only when deciding on the best-performing provenances. The sigmoid growth model employed in this study might be an excellent alternative for comparing the growth dynamics among different stands or replications in experimental studies. Considering only the early results, the sigmoid growth model proves its limitations, and the conclusions reached should be treated with caution.

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Selvaraj, Ganesh, Karla Taboada, Eloy Gonzales, and Habib Baluwala. "Content enrichment with expressive document modelling to leverage the understanding of unstructured data." MATEC Web of Conferences 277 (2019): 02003. http://dx.doi.org/10.1051/matecconf/201927702003.

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Most information in an enterprise is in the form of unstructured data which is usually managed using a document database. One of the key challenges is to define a generalized data model for this unstructured data and any information extracted from it using content enrichment algorithms. It is more challenging to incorporate provenance and temporal capabilities to such data models. Semantic databases use ontologies such as PROV-O to represent their provenance information expressively, and relational databases use for example Slowly Changing Dimensions (SCDs) concepts to represent temporal information. In this paper, we present a document model which has features inspired from Dublin core, PROV-O and temporal methodologies to generalize information extracted from unstructured data using content enrichment algorithms. Provenance information enables comparison of enrichment models, allows reproducibility and facilitates complex filtering on the enriched data. Temporal metadata helps in versioning the document and enables point-intime and history queries conveniently.

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Chapman, Adriane, Paolo Missier, Giulia Simonelli, and Riccardo Torlone. "Capturing and querying fine-grained provenance of preprocessing pipelines in data science." Proceedings of the VLDB Endowment 14, no. 4 (December 2020): 507–20. http://dx.doi.org/10.14778/3436905.3436911.

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Data processing pipelines that are designed to clean, transform and alter data in preparation for learning predictive models, have an impact on those models' accuracy and performance, as well on other properties, such as model fairness. It is therefore important to provide developers with the means to gain an in-depth understanding of how the pipeline steps affect the data, from the raw input to training sets ready to be used for learning. While other efforts track creation and changes of pipelines of relational operators, in this work we analyze the typical operations of data preparation within a machine learning process, and provide infrastructure for generating very granular provenance records from it, at the level of individual elements within a dataset. Our contributions include: (i) the formal definition of a core set of preprocessing operators, and the definition of provenance patterns for each of them, and (ii) a prototype implementation of an application-level provenance capture library that works alongside Python. We report on provenance processing and storage overhead and scalability experiments, carried out over both real ML benchmark pipelines and over TCP-DI, and show how the resulting provenance can be used to answer a suite of provenance benchmark queries that underpin some of the developers' debugging questions, as expressed on the Data Science Stack Exchange.

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Shu, Yanfeng, Kerry Taylor, Prasantha Hapuarachchi, and Chris Peters. "Modelling provenance in hydrologic science: a case study on streamflow forecasting." Journal of Hydroinformatics 14, no. 4 (June 13, 2012): 944–59. http://dx.doi.org/10.2166/hydro.2012.134.

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The web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to bring recent developments in the management of provenance developed for e-science and the Semantic Web to the problems of hydrology. Our main result is a formal ontological model for the representation of provenance information driven by a hydrologic case study. Along the way, we support usability, extensibility and reusability for provenance representation, relying on the concept of modelling both domain-independent and domain-specific aspects of provenance. We evaluate our model with respect to its ability to satisfy identified requirements arising from the case study on streamflow forecasting for the South Esk River catchment in Tasmania, Australia.

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Pouchard, Line, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric Stephan, Li Tang, and Kerstin Kleese Van Dam. "Computational reproducibility of scientific workflows at extreme scales." International Journal of High Performance Computing Applications 33, no. 5 (April 8, 2019): 763–76. http://dx.doi.org/10.1177/1094342019839124.

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We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics. We discuss two use cases: scientific reproducibility of results in the Energy Exascale Earth System Model (E3SM—previously ACME) and performance reproducibility in molecular dynamics workflows on HPC platforms. To capture and persist the provenance and performance data of these workflows, we have designed and developed the Chimbuko and ProvEn frameworks. Chimbuko captures provenance and enables detailed single workflow performance analysis. ProvEn is a hybrid, queryable system for storing and analyzing the provenance and performance metrics of multiple runs in workflow performance analysis campaigns. Workflow provenance and performance data output from Chimbuko can be visualized in a dynamic, multilevel visualization providing overview and zoom-in capabilities for areas of interest. Provenance and related performance data ingested into ProvEn is queryable and can be used to reproduce runs. Our provenance-based approach highlights challenges in extracting information and gaps in the information collected. It is agnostic to the type of provenance data it captures so that both the reproducibility of scientific results and that of performance can be explored with our tools.

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Leather, S. R., A. D. Watt, and D. A. Barbour. "The effect of host-plant and delayed mating on the fecundity and lifespan of the pine beauty moth, Panolis flammea (Denis & Schiffermüller) (Lepidoptera: Noctuidae): their influence on population dynamics and relevance to pest management." Bulletin of Entomological Research 75, no. 4 (December 1985): 641–51. http://dx.doi.org/10.1017/s000748530001590x.

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AbstractAdult females of Panolis flammea (Denis & Schiffermüller) in the laboratory laid more eggs on some provenances of lodgepole pine (Pinus contorta) than on others, even when offered no choice. Their preoviposition period was inversely related to the suitability of the host for larval growth and development. The shorter the preoviposition period the greater the number of eggs that were laid. Delayed mating resulted in reduced fecundity and reduced egg fertility. Female moths lived longest on those hosts on which they oviposited most. Oviposition preferences were correlated with the ratio of the two monoterpenes α- and β-pinene within the host-plants. The effects of provenance, delayed mating and adult mortality were demonstrated through a simulation model; the effect of delayed mating was particularly marked when adult survival was poor. Egg production in the field in Scotland varied from 30 to 123 eggs per female, but this variation could largely be explained by spring temperature. It was concluded that this relationship was due to the influence of temperature on mating and egg laying. The relationship between temperature and egg production forms a basis for predicting damaging levels of Panolis flammea from either pupal or adult numbers. The effects of provenance and delayed mating demonstrate that the frequency of P. flammea outbreaks in the UK may be reduced by the planting of less preferred lodgepole pine provenances and by mating-disruption methods.

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Bache, Richard, Simon Miles, Bolaji Coker, and Adel Taweel. "Informative Provenance for Repurposed Data: A Case Study using Clinical Research Data." International Journal of Digital Curation 8, no. 2 (November 19, 2013): 27–46. http://dx.doi.org/10.2218/ijdc.v8i2.262.

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The task repurposing of heterogeneous, distributed data for originally unintended research objectives is a non-trivial problem because the mappings required may not be precise. A particular case is clinical data collected for patient care being used for medical research. The fact that research repositories will record data differently means that assumptions must be made as how to transform of this data. Records of provenance that document how this process has taken place will enable users of the data warehouse to utilise the data appropriately and ensure that future data added from another source is transformed using comparable assumptions. For a provenance-based approach to be reusable and supportable with software tools, the provenance records must use a well-defined model of the transformation process. In this paper, we propose such a model, including a classification of the individual ‘sub-functions’ that make up the overall transformation. This model enables meaningful provenance data to be generated automatically. A case study is used to illustrate this approach and an initial classification of transformations that alter the information is created.

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Butt, Anila Sahar, and Peter Fitch. "A provenance model for control-flow driven scientific workflows." Data & Knowledge Engineering 131-132 (January 2021): 101877. http://dx.doi.org/10.1016/j.datak.2021.101877.

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Geng, Zhiqiang, Yuan Cao, Jun Li, and Yongming Han. "Novel blockchain transaction provenance model with graph attention mechanism." Expert Systems with Applications 209 (December 2022): 118411. http://dx.doi.org/10.1016/j.eswa.2022.118411.

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Cho, Jin-Hee, and Ing-Ray Chen. "PROVEST: Provenance-Based Trust Model for Delay Tolerant Networks." IEEE Transactions on Dependable and Secure Computing 15, no. 1 (January 1, 2018): 151–65. http://dx.doi.org/10.1109/tdsc.2016.2530705.

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Miles, Simon, Paul Groth, Steve Munroe, Sheng Jiang, Thibaut Assandri, and Luc Moreau. "Extracting causal graphs from an open provenance data model." Concurrency and Computation: Practice and Experience 20, no. 5 (2008): 577–86. http://dx.doi.org/10.1002/cpe.1236.

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Zhang, Mingda, Peng Yue, Zhaoyan Wu, Danielle Ziebelin, Huayi Wu, and Chenxiao Zhang. "Model provenance tracking and inference for integrated environmental modelling." Environmental Modelling & Software 96 (October 2017): 95–105. http://dx.doi.org/10.1016/j.envsoft.2017.06.051.

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de Almeida, Dayse Silveira, Carmem Satie Hara, Ricardo Rodrigues Ciferri, and Cristina Dutra de Aguiar Ciferri. "An asynchronous collaborative reconciliation model based on data provenance." Software: Practice and Experience 48, no. 1 (June 13, 2017): 197–232. http://dx.doi.org/10.1002/spe.2506.

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Kobliha, J., J. Stejskal, M. Lstibůrek, R. Marušák, and M. Slávik. "Selection of European larch provenances based on productivity and economic values." Journal of Forest Science 59, No. 11 (November 29, 2013): 424–35. http://dx.doi.org/10.17221/49/2013-jfs.

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Productivity of individual European larch provenances was evaluated on the basis of height and diameter growth and volume production at the age of 40 years. This work was focused on identifying differences among European larch provenances using a growth simulation model (SIBYLA). Based on the growth simulations, all selected provenances had greater mean height, stem diameter and stem volume at the age of 120 years than the control seed source. Provenance 49 (Krnov-Loučky, Jeseníky, CZ) had the greatest height growth and volume, but it ranked the fourth in diameter. Provenances 16 (Cavalese, Italy) and 71a (Jaroměřice-Chroustov, Vysočina, CZ) ranked the highest in stem diameter and volume growth. With respect to a different tree number per hectare these characteristics are different when expressed as total per-hectare volume production.  Despite that fact, the control material is inferior also in this category. In addition to production, timber assortment and economic balance of the same provenances at the age of 120 years were evaluated.

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Gehani, Ashish, Raza Ahmad, Hassan Irshad, Jianqiao Zhu, and Jignesh Patel. "Digging into Big Provenance (with SPADE)." Queue 19, no. 3 (June 30, 2021): 77–106. http://dx.doi.org/10.1145/3475965.3476885.

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Several interfaces exist for querying provenance. Many are not flexible in allowing users to select a database type of their choice. Some provide query functionality in a data model that is different from the graph-oriented one that is natural for provenance. Others have intuitive constructs for finding results but have limited support for efficiently chaining responses, as needed for faceted search. This article presents a user interface for querying provenance that addresses these concerns and is agnostic to the underlying database being used.

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Tenkanen, Antti, Sarita Keski-Saari, Jarkko Salojärvi, Elina Oksanen, Markku Keinänen, and Sari Kontunen-Soppela. "Differences in growth and gas exchange between southern and northern provenances of silver birch (Betula pendula Roth) in northern Europe." Tree Physiology 40, no. 2 (December 19, 2019): 198–214. http://dx.doi.org/10.1093/treephys/tpz124.

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Abstract Due to its ubiquity across northern latitudes, silver birch (Betula pendula Roth) is an attractive model species for studying geographical trait variation and acclimation capacity. Six birch provenances from 60 to 67°N across Finland were grown in a common garden and studied for provenance and genotype variation. We looked for differences in height growth, photosynthetic gas exchange and chlorophyll content index (CCI) and compared the gas exchange of early and late leaves on short and long shoots, respectively. The provenances stratified into southern and northern groups. Northern provenances attained less height growth increment and had higher stomatal conductance (gs) and lower intrinsic water-use efficiency (WUE, Anet/gs) than southern provenances, whereas net photosynthesis (Anet) or CCI did not show clear grouping. Short shoot leaves had lower gs and higher WUE than long shoot leaves in all provenances, but there was no difference in Anet between shoot types. The separation of the provenances into two groups according to their physiological responses might reflect the evolutionary history of B. pendula. Latitudinal differences in gas exchange and water use traits can have plausible consequences for global carbon and water fluxes in a warming climate.

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Sharma, Chetan, Damir D. Torrico, Lloyd Carpenter, and Roland Harrison. "Indigenous Meanings of Provenance in the Context of Alternative Food Movements and Supply-Chain Traceability: A Review." Social Sciences 10, no. 7 (July 5, 2021): 255. http://dx.doi.org/10.3390/socsci10070255.

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This article reviews the concept of provenance from both contemporary and traditional aspects. The incorporation of indigenous meanings and conceptualizations of belonging into provenance are explored. First, we consider how the gradual transformation of marketplaces into market and consumer activism catalyzed the need for provenance. Guided by this, we discuss the meaning of provenance from an indigenous and non-indigenous rationale. Driven by the need for a qualitative understanding of food, the scholarship has utilized different epistemologies to demonstrate how authentic connections are cultivated and protected by animistic approaches. As a tool to mobilize place, we suggest that provenance should be embedded in the immediate local context. Historic place-based indigenous knowledge systems, values, and lifeways should be seen as a model for new projects. This review offers a comprehensive collection of research material with emphasis on a variety of fields including anthropology, economic geography, sociology, and biology, which clarifies the meaning of provenance in alternative food systems. It questions the current practices of spatial confinement by stakeholders and governments that are currently applied to the concepts of provenance in foods, and instead proposes a holistic approach to understand both indigenous and non-indigenous ideologies but with an emphasis on Maori culture and its perspectives.

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Ahmed, Suborna, Valerie LeMay, Alvin Yanchuk, Andrew Robinson, Peter Marshall, and Gary Bull. "Meta-Modelling to Quantify Yields of White Spruce and Hybrid Spruce Provenances in the Canadian Boreal Forest." Forests 11, no. 6 (May 28, 2020): 609. http://dx.doi.org/10.3390/f11060609.

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Tree improvement programs can improve forest management by increasing timber yields in some areas, thereby facilitating conservation of other forest lands. In this study, we used a meta-analytic approach to quantify yields of alternative white (Picea glauca (Moench) Voss) and hybrid spruce (Picea engelmannii Parry ex Engelmann x Picea glauca (Moench) Voss) stocks across planting sites in the boreal and hemiboreal forests of Canada. We extracted meta-data from published tree improvement program results for five Canadian provinces covering 38 planting sites and 330 white and hybrid spruce provenances. Using these meta-data and a random-coefficients nonlinear mixed-effects modelling approach, we modelled average height over time trajectories for varying planting site characteristics, as well as climate transfer distances between planting sites and provenances. Climatic transfer distances had strong effects on the height trajectory parameters. In particular, the asymptote parameter had a nonlinear increasing trend with planting site versus provenance mean annual temperature differences. We incorporated the height trajectory meta-analysis model into an existing growth and yield model to predict volume yields. Overall, this research provides a mechanism to quantify yields of alternative provenances at a particular planting site, as a component of decision support models for evaluating evaluate forest management investment into improved planting stocks alternatives under current and possible future climates.

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Porto, Fabio, Ramon G. Costa, Ana Maria de C. Moura, and Bernardo Gonçalves. "Modeling and Implementing Scientific Hypothesis." Journal of Database Management 26, no. 2 (April 2015): 1–13. http://dx.doi.org/10.4018/jdm.2015040101.

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Computational Simulations are important tools that enable scientists to study complex phenomena about which few data is available or that require dangerous human interventions. They involve complex and heterogeneous components, including: mathematical equations, hypothesis, computational models and data. In order to support in-silico scientific research this complex environment needs to be modeled and have its data and metadata managed enabling model evolution, prediction analysis and decision-making. This paper proposes a scientific hypothesis conceptual model that allows scientists to represent the phenomenon been investigated, the hypotheses formulated in the attempt to explain it, and provides the ability to store results of experiment simulations with their corresponding provenance metadata. The proposed model supports scientific life-cycle through: provenance management, exchange of hypothesis as data, experiment reproducibility, model steering and simulation result analyses. A cardiovascular numerical simulation illustrates the applicability of the model and an initial implementation using SciDB is discussed.

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Soon, Jan Mei, and Carol A. Wallace. "A greater share of the stomach?" Nutrition & Food Science 48, no. 2 (March 12, 2018): 318–32. http://dx.doi.org/10.1108/nfs-06-2017-0122.

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Purpose Provenance and ethical standards reflect foods that traceable and are supportive of the environment, sustainability and justice in the food supply chain. The purpose of this study is to understand higher education consumers’ food choices and to examine the predictors of purchasing intention of food with provenance and ethical standards. Design/methodology/approach An online questionnaire was completed by 296 students and staff members of the University of Central Lancashire. The questionnaire collected information on socio-demographic profiles; food choices, provenance and ethical standards; ethical purchasing and sourcing requirements and purchasing intention of food products with provenance and ethical standards. Descriptive statistics were used to determine the frequency of distribution of all socio-demographic characteristics. Multiple regression was used to examine if attitude, perceived behavioural control and subjective norms of the Theory of Planned Behaviour (TPB) significantly predict the consumers’ purchasing intention (Step 1). Exploratory factor analysis was conducted on the behavioural items using principal components estimation and varimax rotation. Multiple regression on the expanded TPB (Step 2) using the obtained factor scores were conducted to determine if the factors were significant predictors of purchasing intention of food with provenance and ethical standards. Findings Multiple regression on the expanded TPB model revealed that only attitude and perceived behavioural control were significant predictors of purchasing intention of food with provenance and ethical standards. The regression model explained about 50 per cent of the variance of the intent to purchase food with provenance and ethical standards where R2 = 0.50 (Adjusted R2 = 0.47). This was significantly different from zero F (5, 89) = 17.77, p < 0.001. The incorporation of “Preference for ethically sourced food” and “Perceived knowledge and status of provenance standards” did not increase the prediction of purchasing behaviour. Originality/value Two broad themes were identified from the factor analysis where the first factor prioritises “Preference for ethically sourced food” and the second factor conceptualises “Perceived knowledge and status of provenance standards”. The TPB was expanded to incorporate both factors but did not increase the prediction of purchasing intention. The authors recommend that other potential predictors, for example, moral concerns or perceived value of food with provenance and/or ethical standards to be tested using an extended TPB framework. The study is of value to higher and further education catering services to encourage more sustainable and local food consumption.

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