Journal articles on the topic 'Interlinked Data'

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1

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.

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Yu, Leshan, Yan Song, Haixia Wu, and Hengtong Shi. "Credit Constraint, Interlinked Insurance and Credit Contract and Farmers’ Adoption of Innovative Seeds-Field Experiment of the Loess Plateau." Land 12, no. 2 (January 28, 2023): 357. http://dx.doi.org/10.3390/land12020357.

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The interlinked insurance and credit contract is an emerging model of agricultural insurance in China. However, the development of interlinked insurance and credit contract and farmers’ demands for it are poorly understood. Based on the wheat farmers on the Loess Plateau in China, a field experiment is employed to obtain dynamic choice data from 415 farmers. We empirically analyzed the inhibitory effect of credit constraint on farmers’ adoption behavior of innovative seeds and also explored the heterogeneity of farmers’ innovative seeds adoption due to the availability of interlinked insurance and credit contract. The results illustrate that credit constraint can hinder farmers’ innovative seeds adoption significantly, and interlinked insurance and credit contracts can encourage farmers to adopt innovative seeds effectively by dispersing natural risks and alleviating credit rationing. Further, constrained by low education levels in China’s rural areas, providing interlinked insurance and credit contract to farmers is not beneficial to enhance farmers’ innovative seeds adoption. In addition, farmers who are relatively poor may underestimate the benefits of innovative seeds at the beginning of planting, making their adoption behavior have some delayed effect. This research provides a new perspective for promoting the spread of innovative technology in rural areas.
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Lambrou, Maria. "Innovation Capability, Knowledge Management and Big Data Technology: A Maritime Business Case." International Journal of Advanced Corporate Learning (iJAC) 9, no. 2 (August 30, 2016): 40. http://dx.doi.org/10.3991/ijac.v9i2.6010.

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We present an updated knowledge management approach to foster companies’ proficiency to formulate and implement their innovation strategies for new business models, services and markets, interlinked with knowledge management and learning technology resources and capabilities, in today’s highly uncertain environment. We elaborate the generic framework, also in view of a maritime business case.
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Mugizi, Wilson. "Constructing a Conceptual Framework for Quantitative Data Analysis in Social Science Research." INTERDISCIPLINARY JOURNAL OF EDUCATION (IJE) 2, no. 1 (May 26, 2019): 74–88. http://dx.doi.org/10.53449/ije.v2i1.77.

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The article proposes how to construct a conceptual framework in social science research using the quantitative paradigm. The purpose of the paper is to provide a guideline for drawing a conceptual framework to students writing proposals based on scientific justification for data analysis. The paper explains how constructs are interlinked to develop a conceptual framework. The article argues that a conceptual framework is not a fixed network of variables but possesses ontological, epistemological, and methodological assumptions and each concept within a conceptual framework plays an ontological or epistemological role. The ontological assumptions explain how knowledge is or what knowledge is, the epistemological assumptions relate to how things really are done and how things certainly work in an assumed reality, and the methodological assumptions relate to the process of building the conceptual framework and assessing what it can tell us about the real world. Therefore, the conceptual frame shows how variables are interlinked, how analysis will be carried out and how the subsequent model will look like. In conclusion, the conceptual framework is not a form of fixed diagram but portrays the kind of analysis that will be or has been carried out in a study.
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Bouquet, Paolo, Heiko Stoermer, and Massimiliano Vignolo. "Web of Data and Web of Entities: Identity and Reference in Interlinked Data in the Semantic Web." Philosophy & Technology 25, no. 1 (January 12, 2011): 5–26. http://dx.doi.org/10.1007/s13347-010-0011-6.

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Harth, Andreas, and Sebastian Speiser. "On Completeness Classes for Query Evaluation on Linked Data." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 613–19. http://dx.doi.org/10.1609/aaai.v26i1.8209.

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The advent of the Web of Data kindled interest in link-traversal (or lookup-based) query processing methods, with which queries are answered via dereferencing a potentially large number of small, interlinked sources. While several algorithms for query evaluation have been proposed, there exists no notion of completeness for results of so-evaluated queries. In this paper, we motivate the need for clearly-defined completeness classes and present several notions of completeness for queries over Linked Data, based on the idea of authoritativeness of sources, and show the relation between the different completeness classes.
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Schlegel, Peter, Daniel Buschmann, Max Ellerich, and Robert H. Schmitt. "Methodological Assessment of Data Suitability for Defect Prediction." Quality Innovation Prosperity 24, no. 2 (July 31, 2020): 170. http://dx.doi.org/10.12776/qip.v24i2.1443.

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<p><strong>Purpose:</strong> This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction.</p><p><strong>Methodology/Approach:</strong> A seven-phase methodology is developed in which the data suitability for defect prediction in interlinked production steps is assessed. For this purpose, the manufacturing process is mapped and potential influencing variables on the origin of defects are identified. The available data is evaluated and quantified with regard to the criteria relevancy, completeness, appropriate amount of data, accessibility and interpretability. The individual assessments are then visualized in an overview, gaps in data acquisition are identified and needs for action are derived.</p><p><strong>Findings:</strong> The research shows a seven-phase methodology to systematically assess data suitability for defect prediction and identify data gaps in interlinked production steps.</p><p><strong>Research Limitation/implication:</strong> This research is limited to the analysis of contextual data quality for the use case of defect prediction. Other data analytics applications or processes outside of manufacturing are not included.</p><strong>Originality/Value of paper:</strong> The paper provides a new approach to identify gaps in data acquisition by systematically assessing data suitability for defect prediction and deducting needs for action. The accuracy of predictive defect models is then to be improved by the subsequent optimization of the data basis.
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Zinke-Wehlmann, Christian, and Amit Kirschenbaum. "Geo-L: Topological Link Discovery for Geospatial Linked Data Made Easy." ISPRS International Journal of Geo-Information 10, no. 10 (October 19, 2021): 712. http://dx.doi.org/10.3390/ijgi10100712.

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Geospatial linked data are an emerging domain, with growing interest in research and the industry. There is an increasing number of publicly available geospatial linked data resources, which can also be interlinked and easily integrated with private and industrial linked data on the web. The present paper introduces Geo-L, a system for the discovery of RDF spatial links based on topological relations. Experiments show that the proposed system improves state-of-the-art spatial linking processes in terms of mapping time and accuracy, as well as concerning resources retrieval efficiency and robustness.
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Graube, Markus, Johannes Pfeffer, Jens Ziegler, and Leon Urbas. "Linked Data as Integrating Technology for Industrial Data." International Journal of Distributed Systems and Technologies 3, no. 3 (July 2012): 40–52. http://dx.doi.org/10.4018/jdst.2012070104.

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In a globalised world the process industry faces challenges regarding data management. Rising demands for agility and rapid shortening of innovation cycles have lead to project-based collaborations. Highly specialised small and medium enterprises are forming “virtual companies” for their mutual benefit. However, today’s industrial data structures are very heterogeneous, complicating collaborative work and hindering the flow of data between stakeholders from different domains. Existing solutions are too rigid and potentially cumbersome. A broad gap still exists between the need of virtual companies to share data from mixed sources in a controlled way and the technologies available. The authors’ approach uses semantic web technologies to represent industrial data in a generic way. Major advantages in comparison to traditional approaches arise from the inherent merging abilities and the extensibility of Linked Data. Distributed information spaces from different domains can be condensed into an interlinked cloud. Existing data can be integrated either on-the-fly using appropriate adapters or by complete migration. Furthermore, operations from graph theory can be performed on the Linked Data networks to generate aggregated views. This article discusses a set of proven web technologies for cloud-driven industrial data sharing in virtual companies and presents first results.
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Alexiou, Giorgos, Marios Meimaris, George Papastefanatos, and Ioannis Anagnostopoulos. "LinkZoo." International Journal on Semantic Web and Information Systems 16, no. 3 (July 2020): 1–19. http://dx.doi.org/10.4018/ijswis.2020070101.

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This article presents LinkZoo, a web-based, linked data enabled tool that supports collaborative management of information resources. LinkZoo addresses the modern needs of information-intensive collaboration environments to publish, manage, and share heterogeneous resources within user-driven contexts. Users create and manage diverse types of resources into common spaces such as files, web documents, people, datasets, and calendar events. They can interlink them, annotate them, and share them with other users, thus enabling collaborative editing, as well as enrich them with links to externally linked data resources. Resources are inherently modeled and published as resource description framework (RDF) and can be explicitly interlinked and dereferenced by external applications. LinkZoo supports creation of dynamic communities that enable web-based collaboration through resource sharing and annotating, exposing objects on the linked data Cloud under controlled vocabularies and permissions. The authors demonstrate the applicability of the tool on a popular collaboration use case scenario for sharing and organizing research resources.
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Ahamed Lebbe, S. M. "Interlocking Factor Market in Agrarian Economy of Sri Lanka." International Letters of Social and Humanistic Sciences 58 (September 2015): 25–35. http://dx.doi.org/10.18052/www.scipress.com/ilshs.58.25.

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Informal credit market plays a crucial role in the rural sector in developing countries. Prices of goods and services, in general, in the competitive markets are determined by the market forces but, prices of factors of production in agrarian economy are interlinked, thus reward of land, labour and credit also are determined by the interlockers.. An interlinked transaction is one in which the parties trade in at least two markets on the condition that the terms of all trade between them are jointly determined (Bell and Srinivasan, 1989). Agriculture sector is the foremost economic activity in Sri Lanka. Nearly 70 percent of total population living in rural areas depends completely or partially on agriculture sector. The main objective of the study is to examine the incidence of different types of linkages prevalent in the developed and backward villages among paddy farming households in Sammanthurai Divisional Secretariat area of Ampara district in Sri Lanka. This study is based on primary data and the data related to the year 2011-2012 (2011 Yala and 2011-2012 Maha). According to the results 95 per cent of the households in backward villages and 65 per cent of households in developed villages are involved in interlinked credit transactions, Hence, the result exhibits that interlinked credit transaction is higher in backward villages than that of developed villages. The results further reveal that Cash-to-Labour and Kind-to-Labour transactions in developed villages are allowed free of charge. Kind-Cash and Input-to-Output transactions are completely seen in the backward villages. Input-to-Output market link which is foremost in the backward villages and it is found to be exploitative to the paddy farmers.
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Wang, Lin, Ying Tang, Rui-Wu Wang, and Xiao-Ya Shang. "Re-evaluating the ‘plankton paradox’ using an interlinked empirical data and a food web model." Ecological Modelling 407 (September 2019): 108721. http://dx.doi.org/10.1016/j.ecolmodel.2019.108721.

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Joubert, M., M. Fieschi, and F. Volot. "Review of Biomedical Knowledge and Data Representation with Conceptual Graphs." Methods of Information in Medicine 37, no. 01 (1998): 86–96. http://dx.doi.org/10.1055/s-0038-1634504.

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Abstract:The basis of conceptual graphs theory is an ontology of types of concepts. Concepts issued from the ontology are interlinked by semantic relationships and constitute canonical conceptual graphs. Canonical graphs may be combined to derive new conceptual graphs by means of formation rules. This formalism allows to separate knowledge representation into a conceptual level and a domain-dependent level, and enables to share and reuse a representation. This paper presents conceptual graph applications to biomedical data and concept representation, classification systems, information retrieval, and natural language understanding and processing. A discussion on the unifying role conceptual graphs theory plays in the implementation of knowledge-based systems is also presented.
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Zwölf, C. M., N. Moreau, Y. A. Ba, and M. L. Dubernet. "Citation of evolving data in distributed asynchronous infrastructures." Proceedings of the International Astronomical Union 15, S350 (April 2019): 392–93. http://dx.doi.org/10.1017/s174392131900783x.

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AbstractThe VAMDC Consortium intended to find a way for users to cite the datasets accessed through the infrastructure. The Research Data Alliance Data citation working group provided the researchers and data centres communities with a recommendation to identify and cite dynamic data. This recommendation perfectly matched the VAMDC needs: the proposed solution relies on a query centric view and the set-up of a Query Store. Data should be stored in a versioned time-stamped manner and accessed through queries. The Query Store we implemented for VAMDC is interlinked with Zenodo. Since Zenodo is indexed in OpenAIRE and since the latter implements Scholix, VAMDC indirectly implements Scholix via its Query Store. The paper outlines the successes and limitations of the above approach.
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Dixit, Dr Archana. "Are Asian Markets and Developed Markets Interlinked? An Application of Causality Approaches." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 375–82. http://dx.doi.org/10.22214/ijraset.2021.38381.

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Abstract: This paper examined the relationship between the stock market returns for three Asian countries and three developed countries. It Investigate two way causality among exchange rate, inflation rate, GDP, with stock returns of the sample countries. This paper examines long term and short term co movement of stock indices of stock market. To check the stationary this study apply unit root test, OLS test and found that data is stationary. This study used ADF test with and without intercept till data become intercept till the data become stationary. The data series is stationary at i(1) and 2 difference and intercept level as presented in above tables. The P value of ADF test in India GDP value is 0.0006, India exchange rate is 0.0002, and Indian stock return is 0.0001 which are less than 5%. It means data series is stationary. Bangladesh exchange rate is 0.0004, inflation rate is 0.0001, stock returns 0.0004. Also predicting the value of ADF test equation the coefficient value ids negative in all cases suggesting that the model is fit.. To investigate the causality The Granger causality test was applied to check the causal relationship between the variables and found that hypothesis is not rejected so there is no causality between the variable.
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Khanal, Aditya R. "Interlinked diversification strategies: evidence from the US farm business households." Journal of Agribusiness in Developing and Emerging Economies 10, no. 3 (April 17, 2020): 253–68. http://dx.doi.org/10.1108/jadee-10-2018-0144.

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PurposeThe agricultural sector in the USA has experienced significant structural changes. For accommodating farm business, households have diversified their operations adopting various strategies—agricultural, structural, environmental, and income strategies. The purpose of this study is to analyze the factors influencing farmer’s diversification strategies while taking into account the simultaneous decision-making process.Design/methodology/approachThis study uses a nation-wide farm household data from the US. The diversification decisions are analyzed using multivariate probit regressions.FindingsThe study suggests that agricultural, structural, environmental, and income diversification strategies are interlinked. Specifically, results indicate that, on one hand, environmental and income diversification strategies are positively interlinked. On the other hand, agricultural and structural diversification strategies are positively interlinked. Additionally, the factors representing location, farm, and farmer characteristics, farm type, and financial condition of the farm are major determinants in the choice of farm diversification strategies.Research limitations/implicationsIn this paper, diversification activities are broadly classified under four strategies: agricultural, structural, environmental, and income. Depending on the context and country, the definition and strategy set may need revision.Practical implicationsStrong complementary between diversification strategies suggests that studies analyzing farm household decisions and strategies need to account for the simultaneous decision-making process. As decisions are interlinked, separately analyzing one specific strategy may lead to biased estimates. Farm business households need to develop multiple skills and flexible capacities to tackle farming-related issues, including structural changes, risk management, and income enhancing activities. Improving employment opportunities for the rural farming population can stimulate structural diversification.Originality/ValueThis paper contributes to limited literature about diversification by analyzing factors influencing different diversification decisions and finds interlinkage between decisions.
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Chen, Victor Y., Ahmad M. Razip, Sungahn Ko, Cheryl Z. Qian, and David S. Ebert. "Multi-aspect visual analytics on large-scale high-dimensional cyber security data." Information Visualization 14, no. 1 (May 28, 2013): 62–75. http://dx.doi.org/10.1177/1473871613488573.

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In this article, we present a visual analytics system, SemanticPrism, which aims to analyze large-scale high-dimensional cyber security datasets containing logs of a million computers. SemanticPrism visualizes the data from three different perspectives: spatiotemporal distribution, overall temporal trends, and pixel-based IP (Internet Protocol) address blocks. With each perspective, we use semantic zooming to present more detailed information. The interlinked visualizations and multiple levels of detail allow us to detect unexpected changes taking place in different dimensions of the data and to identify potential anomalies in the network. After comparing our approach to other submissions, we outline potential paths for future improvement.
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Kim, Kwang-Yeom. "Quantitative evaluation of collapse hazard levels of tunnel faces by interlinked consideration of face mapping, design and construction data: focused on adaptive weights." Journal of Korean Tunnelling and Underground Space Association 15, no. 5 (2013): 505. http://dx.doi.org/10.9711/ktaj.2013.15.5.505.

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Maheshwari, K., T. D. Phan, M. Øieroset, N. Fargette, B. Lavraud, J. L. Burch, R. J. Strangeway, D. J. Gershman, and B. L. Giles. "Investigation of the Diamagnetic Drift Condition for the Suppression of Magnetic Reconnection in 3D Interlinked Reconnection Events with Magnetic Flux Pileup." Astrophysical Journal 940, no. 2 (December 1, 2022): 177. http://dx.doi.org/10.3847/1538-4357/ac9405.

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Abstract We have performed a statistical survey to investigate possible diamagnetic drift suppression of magnetic reconnection using Magnetospheric Multiscale observations of interlinked magnetic field line events at Earth’s magnetopause. Our goal is to investigate a possible cause for the observed magnetic field pileup on the two sides of the thin reconnecting current sheets, at the interface of the converging field lines. We compare whether the diamagnetic drift condition for the suppression of reconnection is satisfied before and after magnetic field pileup. We find that for a majority of events in our data set, the pre-pileup plasma β gradient and magnetic shear values were in the reconnection-suppressed regime, whereas the post-pileup values were in the reconnection-allowed regime. A possible interpretation is that reconnection was suppressed under the pre-pileup conditions, and this led to magnetic field pileup. The magnetic field pileup subsequently generated boundary conditions at the interlinked current sheet that overcame the diamagnetic drift suppression condition, allowing reconnection to happen in the interlinked field line structure. However, in one third of the events, the pre-pileup conditions were already in the reconnection-allowed regime, indicating that in such events, the diamagnetic suppression condition was probably not responsible for field pileup.
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SHELKE, P. N., Y. B. KHOLLAM, S. D. GUNJAL, M. T. SARODE, P. S. MORE, S. R. JADKAR, M. G. TAKWALE, K. C. MOHITE, and PANKAJ KOINKAR. "OPTICAL PROPERTIES OF ELECTROCHEMICALLY DEPOSITED 1-D INTERLINKED NANOWIRED Co3O4 THIN FILMS." International Journal of Modern Physics B 25, no. 31 (December 20, 2011): 4281–84. http://dx.doi.org/10.1142/s0217979211066775.

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The preparation of Co 3 O 4 films containing 1-D interlinked nanowires by electrochemical deposition technique using CH 3 COO )2 Co .4 H 2 O solutions in distilled water and study of their optical properties are reported in this paper. The films are characterized by using XRD, UV-visible & FTIR spectroscopies, XPS and SEM. The characterization studies showed that the resultant films are impurity free, phase pure Co 3 O 4 with cubic spinel symmetry and contain 1-D interlinked nanowires having diameter & length between 250-350 nm & 2-10 μm respectively. The resultant films showed the better values of absorptance (α) = 0.94, emittance (ε) = 0.17 and selectivity = 5.529 as compared to reported data. These films are found to have good prospects for selective solar absorption coatings because their optical properties indicate the red shift of absorption peaks, exhibiting thereby quantum-confined effect and behavior of semiconductor.
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Vince, Russ, Graham Abbey, Melissa Langenhan, and Diane Bell. "Finding critical action learning through paradox: The role of action learning in the suppression and stimulation of critical reflection." Management Learning 49, no. 1 (February 2018): 86–106. http://dx.doi.org/10.1177/1350507617706832.

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In this article, we highlight paradoxical tensions generated by in-company action learning. We consider the implications of these tensions for critical action learning, which has critical reflection as a core element of its theory and practice. Using paradox theory as a lens, we analyze data from two in-company action learning programs and build a model relating to critical action learning that has four interlinked features. The model can help evaluate in-company action learning with a view to identifying emotional and political dynamics that are open (or closed) to critical reflection. Such identification assists in making judgements about the appropriateness of critical action learning within a specific organizational context. Our broader contribution is to frame action learning and critical action learning not only as separate approaches but also as potentially interlinked stages in an ongoing process of individual and organizational learning.
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Oguz, Damla, Belgin Ergenc, Shaoyi Yin, Oguz Dikenelli, and Abdelkader Hameurlain. "Federated query processing on linked data: a qualitative survey and open challenges." Knowledge Engineering Review 30, no. 5 (October 30, 2015): 545–63. http://dx.doi.org/10.1017/s0269888915000107.

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AbstractA large number of data providers publish and connect their structured data on the Web as linked data. Thus, the Web of data becomes a global data space. In this paper, we initially give an overview of query processing approaches used in this interlinked and distributed environment, and then focus on federated query processing on linked data. We provide a detailed and clear insight on data source selection, join methods and query optimization methods of existing query federation engines. Furthermore, we present a qualitative comparison of these engines and give a complementary comparison of the measured metrics of each engine with the idea of pointing out the major strengths of each one. Finally, we discuss the major challenges of federated query processing on linked data.
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Karim, Shakir, Shahadat Uddin, Tasadduq Imam, and Mohammad Ali Moni. "A Systematic Review of Network Studies Based on Administrative Health Data." International Journal of Environmental Research and Public Health 17, no. 7 (April 9, 2020): 2568. http://dx.doi.org/10.3390/ijerph17072568.

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Effective and efficient delivery of healthcare services requires comprehensive collaboration and coordination between healthcare entities and their complex inter-reliant activities. This inter-relation and coordination lead to different networks among diverse healthcare stakeholders. It is important to understand the varied dynamics of these networks to measure the efficiency of healthcare delivery services. To date, however, a work that systematically reviews these networks outlined in different studies is missing. This article provides a comprehensive summary of studies that have focused on networks and administrative health data. By summarizing different aspects including research objectives, key research questions, adopted methods, strengths and weaknesses, this research provides insights into the inherently complex and interlinked networks present in healthcare services. The outcome of this research is important to healthcare management and may guide further research in this area.
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Birk, Alexander, Yannick Wilhelm, Simon Dreher, Christian Flack, Peter Reimann, and Christoph Gröger. "A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes." Procedia CIRP 104 (2021): 417–22. http://dx.doi.org/10.1016/j.procir.2021.11.070.

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34

Zhang, Huaguang, Jianguo Zhou, Qiuye Sun, Josep M. Guerrero, and Dazhong Ma. "Data-Driven Control for Interlinked AC/DC Microgrids Via Model-Free Adaptive Control and Dual-Droop Control." IEEE Transactions on Smart Grid 8, no. 2 (March 2017): 557–71. http://dx.doi.org/10.1109/tsg.2015.2500269.

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35

Alexiev, Vladimir. "Museum Linked Open Data: Ontologies, Datasets, Projects." Digital Presentation and Preservation of Cultural and Scientific Heritage 8 (September 3, 2018): 19–50. http://dx.doi.org/10.55630/dipp.2018.8.1.

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The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such challenges. Linked Open Data (LOD) enable large-scale Digital Humanities (DH) research, collaboration and aggregation, allowing DH researchers to make connections between (and make sense of) the multitude of digitized Cultural Heritage (CH) available on the web. An upsurge of interest in semtech and LOD has swept the CH and DH communities. An active Linked Open Data for Libraries, Archives and Museums (LODLAM) community exists, CH data is published as LOD, and international collaborations have emerged. The value of LOD is especially high in the GLAM sector, since culture by its very nature is cross-border and interlinked. We present interesting LODLAM projects, datasets, and ontologies, as well as Ontotext's experience in this domain. An extended version of this paper is available. It has 77 pages, 67 figures, detailed info about CH content and XML standards, Wikidata and global authority control.
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36

Dobinson, Ian. "Pinning a Tail on the Dragon: The Chinese and the International Heroin Trade." Crime & Delinquency 39, no. 3 (July 1993): 373–84. http://dx.doi.org/10.1177/0011128793039003007.

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This article discusses some widely held misconceptions about the involvement of Chinese criminals in international heroin trafficking. The evidence considered in the article undermines those claims that large, interlinked syndicates control heroin distribution from the source to the street and also that the triads are heavily involved in the heroin trade. The implications of these data are briefly considered.
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Fresa, Antonella. "A Data Infrastructure for Digital Cultural Heritage: Characteristics, Requirements and Priority Services." International Journal of Humanities and Arts Computing 7, supplement (March 2013): 29–46. http://dx.doi.org/10.3366/ijhac.2013.0058.

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The European amount of digitized material is growing very rapidly, as national, regional and European programmes support the digitization processes by museums, libraries, archives, archaeological sites, and audiovisual repositories. The generation of digital cultural heritage is accelerated also by the impulse of Europeana that is fostering the European cultural institutions to produce even more digital content. Moreover digital cultural heritage content are complex and interlinked through many relations. European countries are working for the future, in order to create a data infrastructure devoted to cultural heritage research. Currently, Europe have twin projects (DC-NET and INDICATE) ongoing and a new international coordination action is under preparation to design a validated roadmap for the preservation of digital cultural content. These initiatives are contributing to smooth the way to the Open Science Infrastructure for Digital Cultural Heritage, which is foreseen in 2020.
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Mccarthy, Matthew T. "The Semantic Web and Its Entanglements." Science, Technology and Society 22, no. 1 (February 10, 2017): 21–37. http://dx.doi.org/10.1177/0971721816682796.

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The web of linked data, otherwise known as the semantic web, is a system in which information is structured and interlinked to provide meaningful content to artificial intelligence (AI) algorithms. As the complex interactions between digital personae and these algorithms mediate access to information, it becomes necessary to understand how these classification and knowledge systems are developed. What are the processes by which those systems come to represent the world, and how are the controversies that arise in their creation, overcome? As a global form, the semantic web is an assemblage of many interlinked classification and knowledge systems, which are themselves assemblages. Through the perspectives of global assemblage theory, critical code studies and practice theory, I analyse netnographic data of one such assemblage. Schema.org is but one component of the larger global assemblage of the semantic web, and as such is an emergent articulation of different knowledges, interests and networks of actors. This articulation comes together to tame the profusion of things, seeking stability in representation, but in the process, it faces and produces more instability. Furthermore, this production of instability contributes to the emergence of new assemblages that have similar aims.
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Borgers, Aloys, Harry Timmermans, and Peter van der Waerden. "Patricia: Predicting Activity-Travel Interdependencies with a Suite of Choice-Based, Interlinked Analyses." Transportation Research Record: Journal of the Transportation Research Board 1807, no. 1 (January 2002): 145–53. http://dx.doi.org/10.3141/1807-18.

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The development and performance of Patricia, a suite of (choice) models that can be used to analyze and predict activity-travel patterns, is reported. This suite of models, which differs from similar sequential utility-maximizing models of activity-travel patterns in that it incorporates a larger number of choice facets and choice options, was sequentially estimated with activity-travel data collected in the region of South Rotterdam, the Netherlands. The results of the estimation are satisfactory at the level of aggregated origin-destination matrices and individual activity patterns.
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Schiavone, Luisa, and Federico Morando. "The CoBiS Linked Open Data Project and Portal." EPJ Web of Conferences 186 (2018): 12013. http://dx.doi.org/10.1051/epjconf/201818612013.

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The CoBiS is a network formed by 65 libraries. The project is a pilot for Piedmont that is aiming to provide the Committee with an infrastructure for LOD publishing, thus creating a triplification pipeline designed to be easy to automate and replicate. This is being realized with open source technologies, such as the RML mapping language or the JARQL tool that uses Linked Data to describe the conversion of XML, JSON or tabular data into RDF. The first challenge consisted in making possible the dialog of heterogeneous data sources, coming from four different library software (Clavis, Erasmo, SBNWeb and BIBLIOWin 5.0web) and different types of data (bibliographic, multimedia, and archival). The information contained in the catalogs is progressively interlinked with external data sources, such as Wikidata, VIAF, LoC and BNF authority files, Wikipedia and the Dizionario Biografico degli Italiani. Partners of the CoBiS LOD Project are: National Institute for Astrophysics (INAF), Turin Academy of Sciences, Olivetti Historical Archives Association, Alpine Club National Library, Deputazione Subalpina di Storia Patria, National Institute for Metrological Research (INRIM). The technical realization of the project is entrusted to Synapta, and it is partially sponsored by Piedmont Region.
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Mahapatra, Sushanta Kumar. "Dynamics of irrigation management and interlinked agrarian relations: empirical findings from a canal irrigation command in Odisha, India." Water Policy 14, no. 6 (September 7, 2012): 957–76. http://dx.doi.org/10.2166/wp.2012.105.

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The literature on the dynamics of irrigation management, in terms of the analysis of interlinked agrarian relations, is very limited. This paper attempts to get a detailed grassroots view of farmers' knowledge of various issues pertaining to the relationship between agrarian structure, land and water. Data from 200 sample cultivators of different farm sizes and 20 landless labour households were collected from eight sample villages situated in head-reach and tail-end distributaries of branch canals in selected Hirakud irrigation commands in Odisha, India. An analysis of the nature of the interlinking of various agrarian markets in the studied distributaries showed that interlinked credit transactions are mostly prevalent among landless labour and small farm households. To some extent, they are higher in head-reach distributaries compared to tail-end distributaries. Research showed that the incidence of tenancy in the head-reach areas is also higher than the tail-end. There is a need for the adequacy, timeliness and reliability of water supply, and for equality in water distribution between head- and tail-reaches.
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42

Marinakis, Vangelis. "Big Data for Energy Management and Energy-Efficient Buildings." Energies 13, no. 7 (March 27, 2020): 1555. http://dx.doi.org/10.3390/en13071555.

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European buildings are producing a massive amount of data from a wide spectrum of energy-related sources, such as smart meters’ data, sensors and other Internet of things devices, creating new research challenges. In this context, the aim of this paper is to present a high-level data-driven architecture for buildings data exchange, management and real-time processing. This multi-disciplinary big data environment enables the integration of cross-domain data, combined with emerging artificial intelligence algorithms and distributed ledgers technology. Semantically enhanced, interlinked and multilingual repositories of heterogeneous types of data are coupled with a set of visualization, querying and exploration tools, suitable application programming interfaces (APIs) for data exchange, as well as a suite of configurable and ready-to-use analytical components that implement a series of advanced machine learning and deep learning algorithms. The results from the pilot application of the proposed framework are presented and discussed. The data-driven architecture enables reliable and effective policymaking, as well as supports the creation and exploitation of innovative energy efficiency services through the utilization of a wide variety of data, for the effective operation of buildings.
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43

Moyano, Alberto Nogales, Miguel Angel Sicilia, and Elena Garcia Barriocanal. "On the Graph Structure of the Web of Data." International Journal on Semantic Web and Information Systems 14, no. 2 (April 2018): 70–85. http://dx.doi.org/10.4018/ijswis.2018040104.

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This article describes how the Web of Data has emerged as the realization of a machine readable web relying on the resource description framework language as a way to provide richer semantics to datasets. While the web of data is based on similar principles as the original web, being interlinked in the principal mechanism to relate information, the differences in the structure of the information is evident. Several studies have analysed the graph structure of the web, yielding important insights that were used in relevant applications. However, those findings cannot be transposed to the Web of Data, due to fundamental differences in the production, link creation and usage. This article reports on a study of the graph structure of the Web of Data using methods and techniques from similar studies for the Web. Results show that the Web of Data also complies with the theory of the bow-tie. Other characteristics are the low distance between nodes or the closeness and degree centrality are low. Regarding the datasets, the biggest one is Open Data Euskadi but the one with more connections to other datasets is Dbpedia.
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44

Lin, Shan, Roger T. Luo, Mahesh Shrestha, Michael J. Thirman, and James C. Mulloy. "The full transforming capacity of MLL-Af4 is interlinked with lymphoid lineage commitment." Blood 130, no. 7 (August 17, 2017): 903–7. http://dx.doi.org/10.1182/blood-2017-04-777185.

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Abstract Chromosome rearrangements involving the mixed-lineage leukemia gene (MLL) create MLL-fusion proteins, which could drive both acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). The lineage decision of MLL-fusion leukemia is influenced by the fusion partner and microenvironment. To investigate the interplay of fusion proteins and microenvironment in lineage choice, we transplanted human hematopoietic stem and progenitor cells (HSPCs) expressing MLL-AF9 or MLL-Af4 into immunodeficient NSGS mice, which strongly promote myeloid development. Cells expressing MLL-AF9 efficiently developed AML in NSGS mice. In contrast, MLL-Af4 cells, which were fully oncogenic under lymphoid conditions present in NSG mice, displayed compromised transformation capacity in a myeloid microenvironment. MLL-Af4 activated a self-renewal program in a lineage-dependent manner, showing the leukemogenic activity of MLL-Af4 was interlinked with lymphoid lineage commitment. The C-terminal homology domain (CHD) of Af4 was sufficient to confer this linkage. Although the MLL-CHD fusion protein failed to immortalize HSPCs in myeloid conditions in vitro, it could successfully induce ALL in NSG mice. Our data suggest that defective self-renewal ability and leukemogenesis of MLL-Af4 myeloid cells could contribute to the strong B-cell ALL association of MLL-AF4 leukemia observed in the clinic.
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45

Katz, Daniel S., Gabrielle Allen, Ricardo Cortez, Carolina Cruz-Neira, Raju Gottumukkala, Zeno D. Greenwood, Les Guice, et al. "Louisiana: a model for advancing regional e-Research through cyberinfrastructure." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1897 (June 28, 2009): 2459–69. http://dx.doi.org/10.1098/rsta.2009.0037.

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Louisiana researchers and universities are leading a concentrated, collaborative effort to advance statewide e-Research through a new cyberinfrastructure: computing systems, data storage systems, advanced instruments and data repositories, visualization environments and people, all linked together by software programs and high-performance networks. This effort has led to a set of interlinked projects that have started making a significant difference in the state, and has created an environment that encourages increased collaboration, leading to new e-Research. This paper describes the overall effort, the new projects and environment and the results to date.
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46

Tseng, Chun Hsiung. "Techniques for Building a Read/Write/Execute-Able Web." Applied Mechanics and Materials 145 (December 2011): 138–42. http://dx.doi.org/10.4028/www.scientific.net/amm.145.138.

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In recent years, the usage pattern of the Web has been undergoing dramatic changes. The traditional definition of the Web, “a system of interlinked hyper-text documents”, can no longer describe the situation accurately today. Instead, users want to interact with Web resources and even want to create their own Web resources that can interact with others. This is what we call “Web 2.0”, a new Web that is both read-able and write-able. However, considering Web-based services around us: the calendar services, the traveling services, and the messaging services, etc., one can draw a conclusion that what Web users nowadays expect from the Web are not only contents and interactions but also services. To meet this expectation, a read/write/execute-able Web is demanded. In this paper, new technologies for building such a Web are proposed. A virtual browsing environment is employed to transform existing Web resources into executable services. Furthermore, an HTML-to-XML annotation/transformation technology is integrated into the virtual browsing environment to form the data model part. With these technologies, the Web will be transformed into “a system of interlinked services.”
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47

Shekarpour, Saeedeh, and Sören Auer. ""SINA: semantic interpretation of user queries for question answering on interlinked data" by Saeedeh Shekarpour with Prateek Jain as coordinator." ACM SIGWEB Newsletter, Summer (July 2014): 1. http://dx.doi.org/10.1145/2641730.2641733.

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48

Men, De Yue, Xin Ji, Zhi Cai, Wei Dong, Sai Dai, and Xue Zhu Jin. "Expert Library-Based Data Verification for National-Regional-Provincial Power Grid Integration Security Correction." Advanced Materials Research 805-806 (September 2013): 1087–92. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1087.

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With the construction of national UHV power grid, the grid structure has become increasingly complex, and the national regional and provincial power grid has become increasingly interlinked. In order to more accurately grasp the future operation, grid security and stability, and clearly grasped the weak links of the grid the State Grid Corporation launched a NRPPGI (national-regional-provincial power grid Integration, NRPPGI) model in Security Correction. Data Verification is an important data prevention mechanism of NRPPGI Security Correction. In view of the characteristics and requirements of NRPPGI security checking data, this paper presents a data verification method based on expert library. The system power balance, the unit operating constraints, data completeness and rationality are considered as the quality Index of the received data. This paper also has data correction based on the verification results of the expert library. Verified by actual grid operation, the calibration data can significantly improve the calculation accuracy and convergence rate in the security correction and dispatching plan compared to the original data.
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Honti, Gergely Marcell, and Janos Abonyi. "A Review of Semantic Sensor Technologies in Internet of Things Architectures." Complexity 2019 (June 12, 2019): 1–21. http://dx.doi.org/10.1155/2019/6473160.

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Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.
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Alyoubi, Khaled H. "An Efficient Kernel Density Based Algorithm of Big Data in Cybersecurity for Enhancing Smart City." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 01 (January 26, 2022): 52–64. http://dx.doi.org/10.3991/ijoe.v18i01.27875.

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Smart cities are attracting much interest in terms of future development. As new technologies come on stream, ordinary towns are reshaping themselves as smart cities, where technology is used to improve connections between all elements of the town. The technology can be embedded everywhere and can harvest data for dedicated smart city applications. Smart cities will have a huge number of different devices running these applications. There will be a substantial amount of data associated with these devices. In the interlinked smart city environment, many different messages could be shared between them. Such devices will be associated with many security risks and privacy issues, as many of the shared statistics could also hold personal data. A substantial review of research has been recently undertaken to ensure that data will be safe in the smart city environment. This review has included all the latest research in the area and is intended to ensure that all the data required to run green smart cities and the devices required for them will remain secure and confidential.
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