Search (22 results, page 1 of 2)

  • × theme_ss:"Semantic Web"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Hooland, S. van; Verborgh, R.; Wilde, M. De; Hercher, J.; Mannens, E.; Wa, R.Van de: Evaluating the success of vocabulary reconciliation for cultural heritage collections (2013) 0.02 
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    Date
    22. 3.2013 19:29:20
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.464-479
  2. Prud'hommeaux, E.; Gayo, E.: RDF ventures to boldly meet your most pedestrian needs (2015) 0.02 
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    Source
    Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.18-22
  3. Iorio, A. di; Peroni, S.; Vitali, F.: ¬A Semantic Web approach to everyday overlapping markup (2011) 0.02 
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    Abstract
    Overlapping structures in XML are not symptoms of a misunderstanding of the intrinsic characteristics of a text document nor evidence of extreme scholarly requirements far beyond those needed by the most common XML-based applications. On the contrary, overlaps have started to appear in a large number of incredibly popular applications hidden under the guise of syntactical tricks to the basic hierarchy of the XML data format. Unfortunately, syntactical tricks have the drawback that the affected structures require complicated workarounds to support even the simplest query or usage. In this article, we present Extremely Annotational Resource Description Framework (RDF) Markup (EARMARK), an approach to overlapping markup that simplifies and streamlines the management of multiple hierarchies on the same content, and provides an approach to sophisticated queries and usages over such structures without the need of ad-hoc applications, simply by using Semantic Web tools and languages. We compare how relevant tasks (e.g., the identification of the contribution of an author in a word processor document) are of some substantial complexity when using the original data format and become more or less trivial when using EARMARK. We finally evaluate positively the memory and disk requirements of EARMARK documents in comparison to Open Office and Microsoft Word XML-based formats.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.9, S.1696-1716
  4. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.519-536
  5. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.494-518
  6. Aslam, S.; Sonkar, S.K.: Semantic Web : an overview (2019) 0.01 
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    Abstract
    This paper presents the semantic web, web writing content, web technology, goals of semantic and obligation for the expansion of web 3.0. This paper also shows the different components of semantic web and such as HTTP, HTML, XML, XML Schema, URI, RDF, Taxonomy and OWL. To provide valuable information services semantic web execute the benefits of library functions and also to be the best use of library collection are mention here.
  7. Almeida, M.; Souza, R.; Fonseca, F.: Semantics in the Semantic Web : a critical evaluation (2011) 0.01 
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    Abstract
    In recent years, the term "semantics" has been widely used in various fields of research and particularly in areas related to information technology. One of the motivators of such an appropriation is the vision of the Semantic Web, a set of developments underway, which might allow one to obtain better results when querying on the web. However, it is worth asking what kind of semantics we can find in the Semantic Web, considering that studying the subject is a complex and controversial endeavor. Working within this context, we present an account of semantics, relying on the main linguist approaches, in order to then analyze what semantics is within the scope of information technology. We critically evaluate a spectrum, which proposes the ordination of instruments (models, languages, taxonomic structures, to mention but a few) according to a semantic scale. In addition to proposing a new extended spectrum, we suggest alternative interpretations with the aim of clarifying the use of the term "semantics" in different contexts. Finally, we offer our conclusions regarding the semantic in the Semantic Web and mention future directions and complementary works.
  8. Slimani, T.: Semantic annotation : the mainstay of Semantic Web (2013) 0.01 
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    Source
    International Journal of Computer Applications Technology and Research. 2, no. 6, S.763-770
  9. Rajabi, E.; Sanchez-Alonso, S.; Sicilia, M.-A.: Analyzing broken links on the web of data : An experiment with DBpedia (2014) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1721-1727
  10. Corcho, O.; Poveda-Villalón, M.; Gómez-Pérez, A.: Ontology engineering in the era of linked data (2015) 0.01 
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    Source
    Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.13-17
  11. Papadakis, I. et al.: Highlighting timely information in libraries through social and semantic Web technologies (2016) 0.01 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  12. Narock, T.; Zhou, L.; Yoon, V.: Semantic similarity of ontology instances using polarity mining (2013) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.2, S.416-427
  13. Zhang, L.: Linking information through function (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2293-2305
  14. Guns, R.: Tracing the origins of the semantic web (2013) 0.01 
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    Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.2173-2181
  15. Baker, T.; Sutton, S.A.: Linked data and the charm of weak semantics : Introduction: the strengths of weak semantics (2015) 0.01 
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    Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.10-12
  16. Isaac, A.; Baker, T.: Linked data practice at different levels of semantic precision : the perspective of libraries, archives and museums (2015) 0.01 
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    Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.34-39
  17. Harlow, C.: Data munging tools in Preparation for RDF : Catmandu and LODRefine (2015) 0.01 
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    Abstract
    Data munging, or the work of remediating, enhancing and transforming library datasets for new or improved uses, has become more important and staff-inclusive in many library technology discussions and projects. Many times we know how we want our data to look, as well as how we want our data to act in discovery interfaces or when exposed, but we are uncertain how to make the data we have into the data we want. This article introduces and compares two library data munging tools that can help: LODRefine (OpenRefine with the DERI RDF Extension) and Catmandu. The strengths and best practices of each tool are discussed in the context of metadata munging use cases for an institution's metadata migration workflow. There is a focus on Linked Open Data modeling and transformation applications of each tool, in particular how metadataists, catalogers, and programmers can create metadata quality reports, enhance existing data with LOD sets, and transform that data to a RDF model. Integration of these tools with other systems and projects, the use of domain specific transformation languages, and the expansion of vocabulary reconciliation services are mentioned.
  18. Kaminski, R.; Schaub, T.; Wanko, P.: ¬A tutorial on hybrid answer set solving with clingo (2017) 0.01 
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    Abstract
    Answer Set Programming (ASP) has become an established paradigm for Knowledge Representation and Reasoning, in particular, when it comes to solving knowledge-intense combinatorial (optimization) problems. ASP's unique pairing of a simple yet rich modeling language with highly performant solving technology has led to an increasing interest in ASP in academia as well as industry. To further boost this development and make ASP fit for real world applications it is indispensable to equip it with means for an easy integration into software environments and for adding complementary forms of reasoning. In this tutorial, we describe how both issues are addressed in the ASP system clingo. At first, we outline features of clingo's application programming interface (API) that are essential for multi-shot ASP solving, a technique for dealing with continuously changing logic programs. This is illustrated by realizing two exemplary reasoning modes, namely branch-and-bound-based optimization and incremental ASP solving. We then switch to the design of the API for integrating complementary forms of reasoning and detail this in an extensive case study dealing with the integration of difference constraints. We show how the syntax of these constraints is added to the modeling language and seamlessly merged into the grounding process. We then develop in detail a corresponding theory propagator for difference constraints and present how it is integrated into clingo's solving process.
  19. Oliveira Machado, L.M.; Souza, R.R.; Simões, M. da Graça: Semantic web or web of data? : a diachronic study (1999 to 2017) of the publications of Tim Berners-Lee and the World Wide Web Consortium (2019) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.7, S.701-714
  20. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.00 
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    Date
    16.11.2018 14:22:01

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