Academic literature on the topic 'Interlinked Data'
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Journal articles on the topic "Interlinked Data"
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Auer, Sören, and Jens Lehmann. "Creating knowledge out of interlinked data." Semantic Web 1, no. 1,2 (2010): 97–104. http://dx.doi.org/10.3233/sw-2010-0019.
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Overmeyer, L., J. Dreyer, and D. Altmann. "Data mining based configuration of cyclically interlinked production systems." CIRP Annals 59, no. 1 (2010): 493–96. http://dx.doi.org/10.1016/j.cirp.2010.03.081.
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Nishanbaev, Ikrom, Erik Champion, and David A. McMeekin. "A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage." Heritage 3, no. 3 (August 12, 2020): 875–90. http://dx.doi.org/10.3390/heritage3030048.
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Recently, many Resource Description Framework (RDF) data generation tools have been developed to convert geospatial and non-geospatial data into RDF data. Furthermore, there are several interlinking frameworks that find semantically equivalent geospatial resources in related RDF data sources. However, many existing Linked Open Data sources are currently sparsely interlinked. Also, many RDF generation and interlinking frameworks require a solid knowledge of Semantic Web and Geospatial Semantic Web concepts to successfully deploy them. This article comparatively evaluates features and functionality of the current state-of-the-art geospatial RDF generation tools and interlinking frameworks. This evaluation is specifically performed for cultural heritage researchers and professionals who have limited expertise in computer programming. Hence, a set of criteria has been defined to facilitate the selection of tools and frameworks. In addition, the article provides a methodology to generate geospatial cultural heritage RDF data and to interlink it with the related RDF data. This methodology uses a CIDOC Conceptual Reference Model (CRM) ontology and interlinks the RDF data with DBpedia. Although this methodology has been developed for cultural heritage researchers and professionals, it may also be used by other domain professionals.
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Riekhof, Marie-Catherine. "The insurance premium in the interest rates of interlinked loans in a small-scale fishery." Environment and Development Economics 24, no. 1 (August 30, 2018): 87–112. http://dx.doi.org/10.1017/s1355770x18000311.
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AbstractInterest payments based on income flows are a common feature of informal loans. Such so-called ’interlinked loans’ can be seen as insurance against very low disposable incomes, as interest payments are lowest when income turns out to be low. This paper examines whether interlinked loans indeed contain an insurance premium and how those premia are determined. A simple theoretical model predicts that interest rates of interlinked loans increase with income volatility when insurance premia exist. Based on data from a small-scale fishery in India, calculations show that, on average, lenders receive 25 per cent of the income, which corresponds to an average interest rate of 49 per cent p.a. A panel data analysis confirms theoretical predictions that interlinked loans contain an insurance component paid by the borrowers.
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LI, YUNJIA, MIKE WALD, and GARY WILLS. "APPLYING LINKED DATA IN MULTIMEDIA ANNOTATIONS." International Journal of Semantic Computing 06, no. 03 (September 2012): 289–313. http://dx.doi.org/10.1142/s1793351x12400090.
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Current multimedia applications in Web 2.0 have generated large repositories for multimedia resources and annotations, so there is an urgent requirement to interlink annotations of these resources across different repositories to achieve better indexing and searching. To solve this problem, many researchers have been trying to apply semantic Web technologies to media fragments and annotations. Linked data has brought forward a promising way to expose, index and search media fragments and annotations which used to be isolated in different applications. This paper discusses in depth three key research problems when applying linked data principles in multimedia annotations: choosing URIs for media fragments, dereferencing media fragments and ontology alignment. An architecture is designed based on the possible solutions of the research problems. The key idea of the architecture is that it should act like an extra layer built on top of existing applications when publishing linked data. A demo is built as an implementation of the architecture to show that media fragments can be published and linked to various datasets in the linked data cloud. In the future, some algorithms should be designed to make full use of the interlinked media fragments and annotations for indexing and searching.
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SCHLICHT, ANNE, and HEINER STUCKENSCHMIDT. "PEER-TO-PEER REASONING FOR INTERLINKED ONTOLOGIES." International Journal of Semantic Computing 04, no. 01 (March 2010): 27–58. http://dx.doi.org/10.1142/s1793351x10000948.
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The Semantic Web is commonly perceived as a web of partially-interlinked machine readable data. This data is inherently distributed and resembles the structure of the web in terms of resources being provided by different parties at different physical locations. A number of infrastructures for storing and querying distributed semantic web data, primarily encoded in RDF have been developed. While there are first attempts for integrating RDF Schema reasoning into distributed query processing, almost all the work on description logic reasoning as a basis for implementing inference in the Web Ontology Language OWL still assumes a centralized approach where the complete terminology has to be present on a single system and all inference steps are carried out on this system. We have designed and implemented a distributed reasoning method that preserves soundness and completeness of reasoning under the original OWL import semantics and has beneficial properties regarding parallel computation and overhead caused by communication effort and additional derivations. The method is based on sound and complete resolution methods for the description logic [Formula: see text] that we modify to work in a distributed setting.
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Passant, Alexandre, Matthias Samwald, John G. Breslin, and Stefan Decker. "Federating Distributed Social Data to Build an Interlinked Online Information Society." IEEE Intelligent Systems 24, no. 6 (November 2009): 44–48. http://dx.doi.org/10.1109/mis.2009.113.
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Laha, Arindam, and Pravat Kumar Kuri. "Interlinked Factor Markets and Allocative Efficiency: Evidence from Rural West Bengal, India." Pakistan Development Review 50, no. 1 (March 1, 2011): 29–45. http://dx.doi.org/10.30541/v50i1pp.29-45.
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The issue of the implication of interlinkage of factor markets on the allocative efficiency level of the farm households deserves a special attention in the light of the controversy among two distinct schools of thought: the Neoclassical and the Marxist. An attempt has been made in the paper to measure allocative and cost efficiencies of the interlinked holding vis-à-vis a comparable group of non-interlinked holding in the framework of Data Envelopment Analysis. Empirical evidence establishes the Neo-classical proposition that interlinked factor markets can be considered as one of the “efficiency improving institutional change” in rural agrarian economy. JEL classification: D61, C87, Q14. Keywords: Interlinkage, Allocative Efficiency, Rural Credit, Data Envelopment Analysis
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Zemmouchi-Ghomari, Leila. "Linked Data, Towards Realizing the Web of Data." International Journal of Technology Diffusion 6, no. 4 (October 2015): 20–39. http://dx.doi.org/10.4018/ijtd.2015100102.
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Data play a central role in the effectiveness and efficiency of web applications, such as the Semantic Web. However, data are distributed across a very large number of online sources, due to which a significant effort is needed to integrate this data for its proper utilization. A promising solution to this issue is the linked data initiative, which is based on four principles related to publishing web data and facilitating interlinked and structured online data rather than the existing web of documents. The basic ideas, techniques, and applications of the linked data initiative are surveyed in this paper. The authors discuss some Linked Data open issues and potential tracks to address these pending questions.
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Shekarpour, Saeedeh, Edgard Marx, Axel-Cyrille Ngonga Ngomo, and Sören Auer. "SINA: Semantic interpretation of user queries for question answering on interlinked data." Journal of Web Semantics 30 (January 2015): 39–51. http://dx.doi.org/10.1016/j.websem.2014.06.002.
Full textDissertations / Theses on the topic "Interlinked Data"
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Little, Claire. "Machine learning for understanding complex, interlinked social data." Thesis, Manchester Metropolitan University, 2018. http://e-space.mmu.ac.uk/622001/.
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With the growing availability of 'big' data, increasing computer power, and improved data storage capacities, machine learning techniques are now frequently employed in order to make sense of data. Yet, the social sciences have been slow to adopt these techniques, and there is little evidence of their use in some academic fields. This thesis explores the methods most commonly utilised in social science research, that is, linear regression and null hypothesis significance testing, in order to identify how machine learning methods might complement these more established methods. A case study exploring the Troubled Families programme provides a practical example of how machine learning techniques can be utilised on complex, interlinked social data in order to provide deeper understanding and more insight into the data. Eleven different types of families were identified using cluster analysis, and analysis was performed in order to understand how the family's lives changed after joining the TF programme when compared to before. The analysis provided insight into the various types of families that existed and the problems that they had. It also highlighted that, had the data been analysed on an overall global level, it would have been prone to an averaging effect whereby many of the changes that occurred were not apparent; analysis on the cluster-level resulted in identification of cluster-level patterns, and a greater understanding of the data. This thesis demonstrated that machine learning techniques, such as cluster analysis and decision tree learning, can be effectively utilised on complex 'real-life' social science datasets. These methods can identify hidden groups and relationships, and important predictors in a dataset, provide a better understanding of the structure of the data, and aid in generating research questions and hypotheses.
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Nguenang, Kapnang Christian. "Essays in Financial Econometrics : Interlinked assets and High-Frequency Data." Thesis, Toulouse 1, 2018. http://www.theses.fr/2018TOU10023/document.
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Les changements institutionnels dans la régulation des marchés financiers ont amplifié la multiplication des marchés et la cotation simultanée des actifs sur plusieurs places. Les prix d'un titre sur ces places ou d’un titre et ses dérivés sont liés par des activités d'arbitrage. Dans ces cadres de marchés “informationnellement reliés”, il est intéressant pour le régulateur, les investisseurs et les chercheurs, de comprendre comment chaque marché contribue à la dynamique de la valeur fondamentale. Cette thèse développe de nouveaux outils pour mesurer la contribution, relativement à la fréquence, de chaque marché à la formation du prix et à la formation de la volatilité. Dans le premier chapitre, Je montre que les mesures existantes de la découverte des prix conduisent à des conclusions trompeuses lorsque l'on utilise des données à haute fréquence. En raison de bruits de microstructure, Ils créent une confusion entre la dimension « vitesse » et la dimension « bruit » dans le traitement de l’information. Je propose ensuite des mesures robustes au bruit qui détectent « quel marché est rapide » et produit des bornes très serrées. A l’aide de simulations Monte Carlo et des titres du Dow Jones vendues sur le NYSE et le NASDAQ, je montre que les données corroborent mes conclusions théoriques. Dans le deuxième chapitre, je propose une nouvelle définition de la découverte prix en construisant une fonction de réponse qui évalue l'impact permanent de l'innovation d’un marché, et je donne sa distribution asymptotique. Ce cadre innove en fournissant des résultats testables pour les métriques basées sur la variance d'innovation. Je présente ensuite un modèle d'équilibre des marchés à terme à différentes maturités, et montre qu'il soutient ma mesure : Conformément aux conclusions théoriques, la mesure sélectionne le marché avec le plus de participants comme dominant. Une application sur métaux de la LME montre que le contrat à terme de 3 mois domine à la fois le marché cash et le contrat à 15 mois. Le troisième chapitre introduit un cadre complet en temps continu pour l'analyse à haute fréquence, la littérature n'existant qu’en temps discret. Il présente aussi des avantages sur la littérature en traitant explicitement des bruits de microstructure et en intégrant une volatilité stochastique. Une application, faite sur les quatre actions du Dow Jones cotées au NASDAQ et négociées sur NYSE, montrent que le NASDAQ domine le processus continu de découverte des prix. Dans le quatrième chapitre, Alors que la littérature se concentre sur les prix, je développe un cadre pour étudier la volatilité de la volatilité. Ce qui permet de répondre à des questions telles que : La volatilité du marché futures contribue-t-elle plus que la volatilité du marché spot dans la formation de la volatilité du fondamental ? Je construis un VECM avec Volatilité Stochastique estimé avec les MCMC et inférence bayésienne. Je montre que les volatilités conditionnelles ont un facteur commun et propose des mesures de découverte de la volatilité. Je l'applique aux données journalières de Futures de métaux et de l'EuroStoxx50. Je trouve qu'alors que la formation des prix a lieu sur le marché au comptant, la découverte de la volatilité a lieu sur le marché Futures. Dans une seconde partie, je construis un cadre d'analyse qui exploite les données à Haute fréquence et évite la charge de calcul des MCMC. Je montre que les Volatilités Réalisées sont cointégrées et calcule la contribution du NYSE et NASDAQ à la volatilité permanente des titres du Dow Jones. J'obtiens que la volatilité des volumes est le meilleur déterminant de la découverte de la volatilité. Mais les chiffres faibles obtenues suggèrent l'existence d'autres facteursInstitutional changes in markets regulation in recent years have enhanced the multiplication of markets and the cross listing of assets simultaneously in many places. The prices for a security on those interrelated markets are strongly linked by arbitrage activities. This is also the case for one security and its derivatives: Cash and futures, CDS and Credit spread, spot and options. In those multiple markets settings, it is interesting for regulators, investors and academia to understand and measure how each market contributes to the dynamic of the common fundamental value. At the same time, improvement in ITC fueled trading activity and generated High frequency data. My thesis develops new frameworks, with respect to the data frequency, to measure the contribution of each market to the formation of prices (Price discovery) and to the formation of volatility (Volatility discovery). In the first chapter, I show that existing metrics of price discovery lead to misleading conclusions when using High-frequency data. Due to uninformative microstructure noises, they confuse speed and noise dimension of information processing. I then propose robust-to-noise metrics, that are good at detecting “which market is fast”, and produce tighten bounds. Using Monte Carlo simulations and Dow Jones stocks traded on NYSE and NASDAQ, I show that the data are in line with my theoretical conclusions. In the second chapter, I propose a new way to define price adjustment by building an Impulse Response measuring the permanent impact of market's innovation and I give its asymptotic distribution. The framework innovates in providing testable results for price discovery measures based on innovation variance. I later present an equilibrium model of different maturities futures markets and show that it supports my metric: As the theory suggests, the measure selects the market with the higher number of participants as dominating the price discovery. An application on some metals of the London Metal Exchange shows that 3-month futures contract dominates the spot and the 15-month in price formation. The third chapter builds a continuous time comprehensive framework for Price discovery measures with High Frequency data, as the literature exists only in a discrete time. It also has advantages on the literature in that it explicitly deals with non-informative microstructure noises and accommodates a stochastic volatility. We derive a measure of price discovery evaluating the permanent impact of a shock on a market’s innovation. Empirics show that it has good properties. In the fourth chapter, I develop a framework to study the contribution to the volatility of common volatility. This allows answering questions such as: Does volatility of futures markets dominate volatility of the Cash market in the formation of permanent volatility? I build a VECM with Autoregressive Stochastic Volatility estimated by MCMC method and Bayesian inference. I show that not only prices are cointegrated, their conditional volatilities also share a permanent factor at the daily and intraday level. I derive measures of market's contribution to Volatility discovery. In the application on metals and EuroStoxx50 futures, I find that for most of the securities, while price discovery happens on the cash market, the volatility discovery happens in the Futures market. Lastly, I build a framework that exploits High frequency data and avoid computational burden of MCMC. I show that Realized Volatilities are driven by a common component and I compute contribution of NYSE and NASDAQ to permanent volatility of some Dow Jones stocks. I obtain that volatility of the volume is the best determinant of volatility discovery, but low figures suggest others important factors
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Shekarpour, Saeedeh [Verfasser]. "Semantic Interpretation of User Query for Question Answering on Interlinked Data / Saeedeh Shekarpour." Bonn : Universitäts- und Landesbibliothek Bonn, 2015. http://d-nb.info/1077289251/34.
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FIGUEROA, MARTINEZ CRISTHIAN NICOLAS. "Recommender Systems based on Linked Data." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2669963.
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Backgrounds: The increase in the amount of structured data published using the principles of Linked Data, means that now it is more likely to find resources in the Web of Data that describe real life concepts. However, discovering resources related to any given resource is still an open research area. This thesis studies Recommender Systems (RS) that use Linked Data as a source for generating recommendations exploiting the large amount of available resources and the relationships among them.
Aims: The main objective of this study was to propose a recommendation tech- nique for resources considering semantic relationships between concepts from Linked Data. The specific objectives were: (i) Define semantic relationships derived from resources taking into account the knowledge found in Linked Data datasets. (ii) Determine semantic similarity measures based on the semantic relationships derived from resources. (iii) Propose an algorithm to dynami- cally generate automatic rankings of resources according to defined similarity measures.
Methodology: It was based on the recommendations of the Project management Institute and the Integral Model for Engineering Professionals (Universidad del Cauca). The first one for managing the project, and the second one for developing the experimental prototype. Accordingly, the main phases were: (i) Conceptual base generation for identifying the main problems, objectives and the project scope. A Systematic Literature Review was conducted for this phase, which highlighted the relationships and similarity measures among resources in Linked Data, and the main issues, features, and types of RS based on Linked Data. (ii) Solution development is about designing and developing the experimental prototype for testing the algorithms studied in this thesis.
Results: The main results obtained were: (i) The first Systematic Literature Re- view on RS based on Linked Data. (ii) A framework to execute and an- alyze recommendation algorithms based on Linked Data. (iii) A dynamic algorithm for resource recommendation based on on the knowledge of Linked Data relationships. (iv) A comparative study of algorithms for RS based on Linked Data. (v) Two implementations of the proposed framework. One with graph-based algorithms and other with machine learning algorithms. (vi) The application of the framework to various scenarios to demonstrate its feasibility within the context of real applications.
Conclusions: (i) The proposed framework demonstrated to be useful for develop- ing and evaluating different configurations of algorithms to create novel RS based on Linked Data suitable to users’ requirements, applications, domains and contexts. (ii) The layered architecture of the proposed framework is also useful towards the reproducibility of the results for the research community. (iii) Linked data based RS are useful to present explanations of the recommen- dations, because of the graph structure of the datasets. (iv) Graph-based algo- rithms take advantage of intrinsic relationships among resources from Linked Data. Nevertheless, their execution time is still an open issue. Machine Learn- ing algorithms are also suitable, they provide functions useful to deal with large amounts of data, so they can help to improve the performance (execution time) of the RS. However most of them need a training phase that require to know a priory the application domain in order to obtain reliable results. (v) A log- ical evolution of RS based on Linked Data is the combination of graph-based with machine learning algorithms to obtain accurate results while keeping low execution times. However, research and experimentation is still needed to ex- plore more techniques from the vast amount of machine learning algorithms to determine the most suitable ones to deal with Linked Data.
Books on the topic "Interlinked Data"
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Auer, Sören, Volha Bryl, and Sebastian Tramp, eds. Linked Open Data -- Creating Knowledge Out of Interlinked Data. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3.
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Auer, Sören. Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Cham: Springer Nature, 2014.
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Linked Open Data -- Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Springer, 2014.
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Cowhey, Peter F., and Jonathan D. Aronson. Data Privacy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190657932.003.0008.
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Chapter 8 lays out the political economic trade-offs in privacy protection designs and their implications for the types of privacy risks and constraints on innovations. To delve more deeply, it then contrasts the U.S. and EU approaches. This leads into an analysis of the protracted U.S.–EU disputes on privacy safeguards and the efforts to forge international agreements on privacy protection forged at the Organization for Economic Cooperation and Development and the Asia-Pacific Economic Cooperation. The most promising initiatives will require a significant role for global civil society in governance. The three issues examined in Part III are interlinked. A robust trade regime for the cloud ecosystem requires that common international understandings about cybersecurity and digital privacy also be developed. However, tidy grand bargains are unnecessary to make progress on these linked issues.
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Vuorenmaa, T. Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues around the Global Financial Crisis. Palgrave Pivot, 2014.
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Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues around the Global Financial Crisis. Palgrave Pivot, 2014.
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Vuorenmaa, T. Lit and Dark Liquidity with Lost Time Data: Interlinked Trading Venues Around the Global Financial Crisis. Palgrave Macmillan Limited, 2014.
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Brughmans, Tom, Anna Collar, and Fiona Coward, eds. The Connected Past. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780198748519.001.0001.
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One of the most exciting recent developments in archaeology and history has been the adoption of new perspectives which see human societies in the past--as in the present--as made up of networks of interlinked individuals. This view of people as always connected through physical and conceptual networks along which resources, information, and disease flow, requires archaeologists and historians to use new methods to understand how these networks form, function, and change over time. The Connected Past provides a constructive methodological and theoretical critique of the growth in research applying network perspectives in archaeology and history and considers the unique challenges presented by datasets in these disciplines, including the fragmentary and material nature of such data and the functioning and change of social processes over long timespans. An international and multidisciplinary range of scholars debate both the rationale and practicalities of applying network methodologies, addressing the merits and drawbacks of specific techniques of analysis for a range of datasets and research questions, and demonstrating their approaches with concrete case studies and detailed illustrations. As well as revealing the valuable contributions archaeologists and historians can make to network science, the volume represents a crucial step towards the development of best practice in the field, especially in exploring the interactions between social and material elements of networks, and long-term network evolution.
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Sommerer, Thomas, Hans Agné, Fariborz Zelli, and Bart Bes. Global Legitimacy Crises. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192856326.001.0001.
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Abstract This book addresses the consequences of legitimacy in global governance, in particular asking: when and how do legitimacy crises affect international organizations (IOs) and their capacity to rule. The book starts with a new conceptualization of legitimacy crisis that looks at public challenges from a variety of actors. Based on this conceptualization, it applies a mixed-methods approach to identify and examine legitimacy crises, starting with a quantitative analysis of mass media data on challenges of a sample of 32 IOs. It shows that some, but not all organizations have experienced legitimacy crises, spread over several decades from 1985 to 2020. Following this, the book presents a qualitative study to further examine legitimacy crises of two selected case studies: the WTO and the UNFCCC. Whereas earlier research assumed that legitimacy crises have negative consequences, the book introduces a theoretical framework that privileges the activation inherent in a legitimacy crisis. It holds that this activation may not only harm an IO, but could also strengthen it, in terms of its material, institutional, and decision-making capacity. The following statistical analysis shows that whether a crisis has predominantly negative or positive effects depends on a variety of factors. These include the specific audience whose challenges define a certain crisis, and several institutional properties of the targeted organization. The ensuing in-depth analysis of the WTO and the UNFCCC further reveals how legitimacy crises and both positive and negative consequences are interlinked, and that effects of crises are sometimes even visible beyond the organizational borders.
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Gilbertson, Simon. Music Therapy and Traumatic Brain Injury. Edited by Jane Edwards. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199639755.013.34.
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Contemporary social and neuro-sciences highlight many unanswered questions about the ways that music therapy plays a part in the interprofessional rehabilitation for those affected by traumatic brain injury. This chapter begins with detailed descriptions of traumatic brain injury, its causes and the resulting consequences and interlinks these to the processes of referral, assessment, aims and objectives, treatment methods, evaluation and reporting as documented in the literature to date. In contrast to an individualized perspective of neural trauma, traumatic brain injury is considered here as “traumatic social nervous system injury.” An argument is made for the need to consider the individual brain as one part of a social and material structure of cognition, perception, action and regulation. Constituted in this way, the chapter considers how music therapy can contribute to understanding the lives of the traumatically injured and everyone and everything with which they are inseparably intertwined.
Book chapters on the topic "Interlinked Data"
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van der Waal, Sander, Krzysztof Węcel, Ivan Ermilov, Valentina Janev, Uroš Milošević, and Mark Wainwright. "Lifting Open Data Portals to the Data Web." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 175–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_9.
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Endris, Kemele M., Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, and Sören Auer. "Querying Interlinked Data by Bridging RDF Molecule Templates." In Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX, 1–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-58415-6_1.
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Kalafatelis, Alexandros, Konstantinos Panagos, Anastasios E. Giannopoulos, Sotirios T. Spantideas, Nikolaos C. Kapsalis, Marios Touloupou, Evgenia Kapassa, et al. "ISLAND: An Interlinked Semantically-Enriched Blockchain Data Framework." In Economics of Grids, Clouds, Systems, and Services, 207–14. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92916-9_19.
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Auer, Sören. "Introduction to LOD2." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 1–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_1.
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Svátek, Vojtěch, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap, and Martin Nečaský. "Linked Open Data for Public Procurement." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 196–213. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_10.
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Boncz, Peter, Orri Erling, and Minh-Duc Pham. "Advances in Large-Scale RDF Data Management." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 21–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_2.
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Hellmann, Sebastian, Volha Bryl, Lorenz Bühmann, Milan Dojchinovski, Dimitris Kontokostas, Jens Lehmann, Uroš Milošević, et al. "Knowledge Base Creation, Enrichment and Repair." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 45–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_3.
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Bryl, Volha, Christian Bizer, Robert Isele, Mateja Verlic, Soon Gill Hong, Sammy Jang, Mun Yong Yi, and Key-Sun Choi. "Interlinking and Knowledge Fusion." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 70–89. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_4.
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Mader, Christian, Michael Martin, and Claus Stadler. "Facilitating the Exploration and Visualization of Linked Data." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 90–107. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_5.
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Van Nuffelen, Bert, Valentina Janev, Michael Martin, Vuk Mijovic, and Sebastian Tramp. "Supporting the Linked Data Life Cycle Using an Integrated Tool Stack." In Linked Open Data -- Creating Knowledge Out of Interlinked Data, 108–29. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09846-3_6.
Full textConference papers on the topic "Interlinked Data"
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Shekarpour, Saeedeh, Axel-Cyrille Ngonga Ngomo, and Sören Auer. "Question answering on interlinked data." In the 22nd international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2488388.2488488.
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Auer, Sören. "Creating knowledge out of interlinked data." In the International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1988688.1988693.
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Lin, Harris T., and Vasant Honavar. "Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores." In 2013 IEEE International Congress on Big Data (BigData Congress). IEEE, 2013. http://dx.doi.org/10.1109/bigdata.congress.2013.22.
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Taibi, Davide, Giovanni Fulantelli, and Marco Arrigo. "EXPLOITING LINKED OPEN DATA FOR SUPPORTING MOBILE LEARNING EXPERIENCES." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-134.
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In this paper we present MeLOD, a mobile learning environment which exploits the huge amount of dataset in the Linked Open Data (LOD) cloud to provide contextualized and updated information based on students' location. The position of the student, sent by the mobile device, is used to interlink Geonames, DBpedia and Europeana datasets in order to provide information about all the cultural heritage sites close to the student. One of the advantages of using LOD datasets as the knowledge base (KB) of the system, is that new datasets can be easily interconnected to the existing KB. From a pedagogical point of view the MeLOD environment has been designed with the aim of supporting: a) personalized learning experiences, since students can select their preferences related to language, categories of interest and preferred media type to experience a unique learning journey; b) location based learning, by providing geo-located information depending on the mobile learners localization and by exploiting the Linked Open Data capabilities; c) social learning activities by making explicit the ties between the students profile and their interactions with peers and learning material. Data regarding the cultural heritage visited by each student, the educational materials accessed by him/her, the votes and comments published by the learners, provide feedback to teachers and can provide recommendations for next students' visits. From a technical point of view the MeLOD environment is composed by two main modules: a mobile application, with a friendly user interface, that shows the information to the students during their visit, and a set of web services that elaborate the requests coming from the mobile application to provide interlinked information from different open datasets. A prototype of the MeLOD mobile application has been developed for iOS devices and it is available for free on the Apple Store. More information about the environment are available at: http://melod.pa.itd.cnr.it/.
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Barkdull, Lisa, and Herbert Willems. "Post Assessment of Ultrasonic Crack Detection Inline Inspection Data." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64357.
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The information supplied from inline inspection data is often used by pipeline operators to make mitigation and/or remediation decisions based on integrity management program requirements. It is common practice to apply industry accepted remaining strength pressure calculations (i.e. B31G, 0.85 dl, effective area) to the data analysis results from an inline inspection survey used for the detection and characterization of metal loss. Similar assessments of data analysis results from an ultrasonic crack detection survey require expert knowledge in the field of fracture mechanics and, just as importantly, require knowledge to understand the limitations of shear wave ultrasonic technology as applied to an inline inspection tool. Traditionally, crack-like and crack-field features have been classified with a maximum depth distributed over the entire length of the feature; crack-field features also have width reported. In an effort to provide further prioritization, techniques such as “longest length” or “interlinked length” [1] have been employed. More recently, an effort has been made to provide a depth profile of the crack-like or crack-field feature using the ultrasonic crack detection data analysis results. This presentation will discuss the advantages of post assessment of ultrasonic crack detection data analysis results to aid in the evaluation of pipeline integrity and discuss the limitations of advanced analysis techniques. Additionally, the potential for new inline inspection ultrasonic technologies which lend themselves to more accurate data analysis techniques will be reviewed.
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Chaudhari, Ashish M., Roshan Suresh Kumar, and Daniel Selva. "Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71257.
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Abstract Design space exploration (DSE) is an important knowledge discovery process in the early design phase of complex systems. The outcomes of this process generally include the performance of the designs generated and designer learning. The latter broadly refers to the designer’s knowledge of the mapping between the design space and the objective space. Despite the integration of visual and data analytics in DSE, there is a lack of emphasis on a human designer’s learning as a basis for increasing the effectiveness of DSE. To address this gap, we investigate the use of goal-setting as a motivating factor to improve DSE outcomes. Previous research suggests that the goal of designing (i.e., finding good designs) and the goal of learning (i.e., learning useful knowledge) are inextricably interlinked. We test the hypothesis that giving designers an explicit goal of learning vs an explicit goal of designing generates different learning and performance outcomes, despite the two goals being interlinked. To this hypothesis, we conduct a between-subject experiment in which participants (N = 14) use a DSE tool to explore mechanical metamaterial designs. Subjects in the first conditions are incentivized to maximize the number of correct answers in learning tests administered after using the tool. Subjects in the second condition are incentivized to maximize the performance of designs they generate. The results show that the subjects with the goal of learning perform better on the learning tests, with a large but mildly significant effect. Whereas, the subjects with the designing goal generate better design performance, with a small but significant effect. This study suggests that there may exist a trade-off between the designing and learning goals, despite their interconnections, and designers can target one at the expense of the other through goal-setting.
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Heister, Reinhard, and Reiner Anderl. "Concept for an Integrated Workflow Planning of Dental Products Based on Federative Data Management." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34685.
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Workflows to produce dental products by using CAD/CAM technology are very complex. Each patient needs an individual restoration. The challenge is to provide a patient individual production aiming at a price of mass production. But every single job has to run through an individual development as well manufacturing process. Typically, three stakeholders are involved in the workflow. The dentist performs the treatment and defines requirements for restoration. The dental laboratory plans the workflow and designs the reconstruction by using a dental CAD system. Subsequently, a milling center produces the restoration. Because of these highly heterogeneous workflows, diverse data streams and incompatibilities result. Often improper partners and resources are involved in the workflow. This fact is a significant source for errors. An additional complication is that errors are often discovered in late phases of the workflow. To avoid high costs and unacceptable delivery times, the aim is to develop a new concept for integrated workflow planning. The concept depends on three parts: Federative dental data management (FDDM) as a basic approach, including anticipated logic and structured activities. The federative data management provides a loosely coupling of heterogeneous systems crossing enterprise borders by using web technology. The FDDM service depends on APP technology. Each participant applies its specialized APP: FDDMz (dentist), FDDMd (dental laboratory) and FDDMf (milling center). FDDM services enable a continuously integrated workflow throughout the whole process of a patient individual production. Each participating enterprise is able to register its available processes and resources. Information about resources like 3D dental scanner or milling machines are able to add, according to a global data model schema. This schema depends on an integrated information model with eight partial models: Collaboration, resource, process, workflow, requirements, product, work preparation and production model. This integrated information model provides dental information including interlinked objects. Through a proper anticipation logic, conclusions about later phases can be anticipated already at early phases. The last conceptual part is workflow management on frame of structured activities. By combining the information network with the anticipation logic, filtering of appropriate partners, processes, resources and sequences is supported. Next, a prototypical implementation is demonstrated exemplarily. This concept delivers an important contribution to increase process reliability and quality as well as to reduce delivery times and costs for digital dental workflows.
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Marshall, Michael, and Martin Fingerhut. "Reframing PSMS in the Context of Operational Risk Management and ESG Sustainability." In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87773.
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Abstract Current Environmental, Health, and Safety (EHS) and Asset Integrity/Performance Management (AIM/APM) platforms fail to properly aggregate data from multiple Pipeline Safety Management System (PSMS) workflows into a single database which can be queried to inform real-time, risk-based analyses and decision-making relative to profitability impacts. With predictive analytics at the core of an asset integrity and PSMS framework intent upon achieving holistic, enterprise-wide visibility and accountability for Environmental, Social, and Governance (ESG) program effectiveness and sustainability, this paper proposes an ideal solution designed around the following core functions: • Reframing EHS and AIM/APM in the context of Operational Risk Management (ORM) by normalizing data relative to performance and process-related parameters • Categorizing, prioritizing, and risk ranking incidents by economic impact (specifically lost production), enabling problem solving teams to resolve high value deep-dive systemic problems • Satisfying the need for a one-stop system that has the highly interlinked EHS, compliance and enterprise risk management systems all in one framework • Linking to data historians like OSIsoft PI to “give voice to equipment” for predictive analytics as necessitated by today’s digital transformation movement • Featuring incident investigation, reporting and failure modes decision support functionality based on industry best practice standards including API 754 Process Safety Performance Indicators for Refining and Petrochemical Industries, which is also directly applicable to petroleum pipeline industry operating systems and processes where loss of containment may occur • Offering a highly configurable user interface for key performance indicator (KPI) trending, reporting, alerts/notifications, action planning and follow-up
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Moore, Jacob P., Christopher B. Williams, and Marie C. Paretti. "Using Wikis as a Formative Assessment Tool for Student Engineering Design Teams." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48310.
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Due to its focus in project-based learning, design educators must provide individual coaching and mentoring of student teams as they progress through their design efforts. In order to increase the quantity and quality of design mentoring, the authors have implemented the use of Wiki websites as a medium for providing formative assessment for student design teams enrolled in a sophomore-level Mechanical Engineering design course. Wiki websites, which allow for easy creation and editing of interlinked webpages, were created for each design team in order to provide a virtual space for the creation, compilation, and editing of their design project report submissions. With access to each team’s Wiki site, the mentor is able to observe each team’s product design process unfold and provide feedback using an embedded commenting system. The public presentation of design reports also affords the facilitation of a peer-review of student work. In this paper the authors present details of the implementation of a Wiki for preliminary assessment data for this tool. Results show that the students found the tool and the associated activities to be easy to use, helpful in developing better design reports and a contributing factor to their development of critical and analytical thinking skills. In addition, students who used the tool reported receiving more meaningful formative feedback from the instructor and reported giving more formative feedback to their peers when compared to other sections of the class that were not using the Wiki.
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Laskar, Sandipan. "Applying Blockchain Technology to Process Safety with Focus on Integrity Management for Oil and Gas Industry." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211021-ms.
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Abstract Disruptive innovation has extensively changed human interactions, market trends and other aspects such as transportation and communication. Over last decade many new technologies (artificial intelligence, block chain technology, Internet-Of-Things) has changed the way world do business. These new technologies are playing an important role in increasing efficiency and effectiveness in businesses around the world. This paper focuses on application of blockchain technology and use of distributed ledgers to leverage process safety and integrity management program. The focus of safety management system is to evaluate hazards and decrease risks with an assurance that the identified safeguards are effective. All the elements of process safety management program are interlinked so failure or gap in one element will adversely affect the efficacy of the overall process safety management program. The effectiveness of a process safety management depends on many factors such as management support, personnel participation, effective and tamper-proof data management and reporting. So, it takes considerable number of resources to set up and manage these systems. This paper explores use of blockchain and distributed ledgers to effectively manage elements of process safety management program with major focus around integrity management for oil and gas industry. The paper focuses on core 6 elements however the discussion could be applied for the other elements of the process safety management program. This paper provides an overview application of blockchain to different elements of process safety management program discussing the pros and cons. The paper provides a detailed scoping of application of blockchain and distributed ledgers for integrity management program.
Reports on the topic "Interlinked Data"
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Woyczynski, Lauren, Christina Misunas, and Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.
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The Adolescent Atlas for Action (A3) is a suite of tools that summarizes the lives and needs of adolescents around the world to promote evidence-based decision-making. Through accessible and easy-to-grasp data just one click away, the A3 bridges the gap between decisionmakers and evidence to inform policies and programs. The Adolescent Indicators dashboard and Gender Gaps dashboard are two simple but dynamic dashboards that provide insights on the lives of adolescent girls and boys living in low- and middle income countries (LMICs) across 9 thematic domains of wellbeing. The Adolescent Indicators dashboard showcases how adolescent girls or boys are faring under each theme, globally and subnationally, as well as how the indicators across domains are interlinked. The Gender Gaps dashboard allows you to compare gaps by domain and indicator, both globally and subnationally. This brief elaborates on the methodology for developing both dashboards.
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Lehtimaki, Susanna, Aisling Reidy, Kassim Nishtar, Sara Darehschori, Andrew Painter, and Nina Schwalbe. Independent Review and Investigation Mechanisms to Prevent Future Pandemics: A Proposed Way Forward. United Nations University International Institute for Global Health, April 2021. http://dx.doi.org/10.37941/rr/2021/1.
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The COVID-19 pandemic has created enormous challenges for national economies, livelihoods, and public services, including health systems. In January 2021, the World Health Organization proposed an international treaty on pandemics to strengthen the political commitment towards global pandemic preparedness, control, and response. The plan is to present a draft treaty to the World Health Assembly in May 2021. To inform the design of a support system for this treaty, we explored existing mechanisms for periodic reviews conducted either by peers or an external group as well as mechanisms for in-country investigations, conducted with or without country consent. Based on our review, we summarized key design principles requisite for review and investigation mechanisms and explain how these could be applied to pandemics preparedness, control, and response in global health. While there is no single global mechanism that could serve as a model in its own right, there is potential to combine aspects of existing mechanisms. A Universal Periodic Review design based on the model of human rights treaties with independent experts as the authorized monitoring body, if made obligatory, could support compliance with a new pandemic treaty. In terms of on-site investigations, the model by the Committee on Prevention of Torture could lend itself to treaty monitoring and outbreak investigations on short notice or unannounced. These mechanisms need to be put in place in accordance with several core interlinked design principles: compliance; accountability; independence; transparency and data sharing; speed; emphasis on capabilities; and incentives. The World Health Organization can incentivize and complement these efforts. It has an essential role in providing countries with technical support and tools to strengthen emergency preparedness and response capacities, including technical support for creating surveillance structures, integrating non-traditional data sources, creating data governance and data sharing standards, and conducting regular monitoring and assessment of preparedness and response capacities.
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Kimhi, Ayal, Barry Goodwin, Ashok Mishra, Avner Ahituv, and Yoav Kislev. The dynamics of off-farm employment, farm size, and farm structure. United States Department of Agriculture, September 2006. http://dx.doi.org/10.32747/2006.7695877.bard.
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Objectives: (1) Preparing panel data sets for both the United States and Israel that contain a rich set of farm attributes, such as size, specialization, and output composition, and farmers’ characteristics such as off-farm employment status, education, and family composition. (2) Developing an empirical framework for the joint analysis of all the endogenous variables of interest in a dynamic setting. (3) Estimating simultaneous equations of the endogenous variables using the panel data sets from both countries. (4) Analyzing, using the empirical results, the possible effects of economic policies and institutional changes on the dynamics of the farm sector. An added objective is analyzing structural changes in farm sectors in additional countries. Background: Farm sectors in developed countries, including the U.S. and Israel, have experienced a sharp decline in their size and importance during the second half of the 20th century. The overall trend is towards fewer and larger farms that rely less on family labor. These structural changes have been a reaction to changes in technology, in government policies, and in market conditions: decreasing terms of trade, increasing alternative opportunities, and urbanization pressures. As these factors continue to change, so does the structure of the agricultural sector. Conclusions: We have shown that all major dimensions of structural changes in agriculture are closely interlinked. These include farm efficiency, farm scale, farm scope (diversification), and off-farm labor. We have also shown that these conclusions hold and perhaps even become stronger whenever dynamic aspects of structural adjustments are explicitly modeled using longitudinal data. While the results vary somewhat in the different applications, several common features are observed for both the U.S. and Israel. First, the trend towards the concentration of farm production in a smaller number of larger farm enterprises is likely to continue. Second, at the micro level, increased farm size is negatively associated with increased off-farm labor, with the causality going both ways. Third, the increase in farm size is mostly achieved by diversifying farm production into additional activities (crops or livestock). All these imply that the farm sector converges towards a bi-modal farm distribution, with some farms becoming commercial while the remaining farm households either exit farming altogether or continue producing but rely heavily on off-farm income. Implications: The primary scientific implication of this project is that one should not analyze a specific farm attribute in isolation. We have shown that controlling for the joint determination of the various farm and household attributes is crucial for obtaining meaningful empirical results. The policy implications are to some extent general but could be different in the two countries. The general implication is that farm policy is an important determinant of structural changes in the farm sector. For the U.S., we have shown the different effects of coupled and decoupled (direct) farm payments on the various farm attributes, and also shown that it is important to take into account the joint farm-household decisions in order to conduct a meaningful policy analysis. Only this kind of analysis explains the indirect effect of direct farm payments on farm production decisions. For Israel, we concluded that farm policy (or lack of farm policy) has contributed to the fast structural changes we observed over the last 25 years. The sharp change of direction in farm policy that started in the early 1980s has accelerated structural changes that could have been smoother otherwise. These accelerated structural changes most likely lead to welfare losses in rural areas.
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Global Food 50/50: Hungry for gender equality. Global Health 50/50, October 2022. http://dx.doi.org/10.56649/wiqe2012.
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Across the world, populations are facing severe threats and rising inequalities due to a combination of climate change, environmental degradation, COVID-19 and conflict. Food systems, as a result, are in crisis and people are increasingly feeling the impact on their everyday lives. For women, globally and across regions, the impact of the food systems crisis is more severe than for men, and women are more food insecure than men. Women, historically and now, have less access to healthy food, land ownership and resources for food production than men. Gender inequalities are woven through food systems, and contribute to unjust food production, access and consumption. Global food systems organizations are working to address some of the critical issues facing populations’ access to food and nutrition. The second annual Global Food 50/50 Report assesses whether and how such organizations are integrating gender and equality considerations in their work. It reviews the policies and practices of 51 organizations as they relate to two interlinked dimensions of inequality: inequality of opportunity in career pathways inside organizations and inequality in who benefits from the global food system. The primary aim of the Global Food 50/50 Report is to encourage food systems organizations to confront and address gender inequality both within their organizations and governance structures, and in their programmatic approaches across food systems. A second aim is to increase recognition of the role that gender plays in who runs and benefits from food systems for everybody: women and men, including transgender people, and people with nonbinary gender identities. Key findings from this year’s report show that gender and geographic diversity are severely lacking in the boards of major global food organizations, with leadership positions dominated by men from the global north. This matters because representation from a narrow section of the global population will not result in policies and programmes that meet the needs and interests of all people, across all regions, including women. The review of board composition of 51 organizations showed that more than 70% of board seats are held by nationals of high-income countries. Just 8% of board seats are held by women from low- and middle-income countries. However, there is room for hope. Our findings show an increase in women board chairs from 26% in 2021 to 35% in 2022. More organizations are publishing board diversity policies—policies were found in 30% of organizations, a 10% increase since 2021. Moreover, the review located five new board diversity policies across the sample. A high proportion of organizations (49/52) have made formal and public commitments to gender equality and this has increased since 2021. In 2022, there was an increase of five organizations with gender-transformative programmatic approaches, from 60% to 70% and a decrease in the number of organizations with gender-blind approaches. Despite some advances among some global food systems organizations, the sector has a long way to go to achieve gender equality in the boardroom, in the workplace and in who benefits from their work. The data in this report can equip leaders at all levels—from communities to workforces to boards—to take action, drive change, measure progress, and hold those in power accountable to their commitments to advance gender equality and transform food systems. A fairer, more gender-equal system will be best placed to end hunger, poverty, and inequality around the world.