Search (31 results, page 1 of 2)

  • × year_i:[2000 TO 2010}
  • × theme_ss:"Semantische Interoperabilität"
  1. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.09
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
    Source
    IBM systems journal. 44(2005) no.4, S.887-903
    Year
    2005
  2. Wilde, E.: Semantische Interoperabilität von XML Schemas (2005) 0.02
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    Source
    XML Web services magazine. 2005, no.2, S.35-38
    Year
    2005
  3. Heckner, M.; Mühlbacher, S.; Wolff, C.: Tagging tagging : a classification model for user keywords in scientific bibliography management systems (2007) 0.01
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    Abstract
    Recently, a growing amount of systems that allow personal content annotation (tagging) are being created, ranging from personal sites for organising bookmarks (del.icio.us), photos (flickr.com) or videos (video.google.com, youtube.com) to systems for managing bibliographies for scientific research projects (citeulike.org, connotea.org). Simultaneously, a debate on the pro and cons of allowing users to add personal keywords to digital content has arisen. One recurrent point-of-discussion is whether tagging can solve the well-known vocabulary problem: In order to support successful retrieval in complex environments, it is necessary to index an object with a variety of aliases (cf. Furnas 1987). In this spirit, social tagging enhances the pool of rigid, traditional keywording by adding user-created retrieval vocabularies. Furthermore, tagging goes beyond simple personal content-based keywords by providing meta-keywords like funny or interesting that "identify qualities or characteristics" (Golder and Huberman 2006, Kipp and Campbell 2006, Kipp 2007, Feinberg 2006, Kroski 2005). Contrarily, tagging systems are claimed to lead to semantic difficulties that may hinder the precision and recall of tagging systems (e.g. the polysemy problem, cf. Marlow 2006, Lakoff 2005, Golder and Huberman 2006). Empirical research on social tagging is still rare and mostly from a computer linguistics or librarian point-of-view (Voß 2007) which focus either on the automatic statistical analyses of large data sets, or intellectually inspect single cases of tag usage: Some scientists studied the evolution of tag vocabularies and tag distribution in specific systems (Golder and Huberman 2006, Hammond 2005). Others concentrate on tagging behaviour and tagger characteristics in collaborative systems. (Hammond 2005, Kipp and Campbell 2007, Feinberg 2006, Sen 2006). However, little research has been conducted on the functional and linguistic characteristics of tags.1 An analysis of these patterns could show differences between user wording and conventional keywording. In order to provide a reasonable basis for comparison, a classification system for existing tags is needed.
  4. Tang, J.; Liang, B.-Y.; Li, J.-Z.: Toward detecting mapping strategies for ontology interoperability (2005) 0.01
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    Content
    Beitrag anlässlich: Workshop on The Semantic Computing Initiative (SeC 2005) --- From Semantic Web to Semantic World --- to be held in conjunction with The 14th Int'l Conf. on World Wide Web (WWW2005); vgl.: http://www.instsec.org/2005ws/.
    Year
    2005
  5. Burstein, M.; McDermott, D.V.: Ontology translation for interoperability among Semantic Web services (2005) 0.01
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    Source
    AI magazine. 26(2005) no.1, S.71-82
    Year
    2005
  6. Dini, L.: CACAO : multilingual access to bibliographic records (2007) 0.01
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  7. Boteram, F.; Hubrich, J.: Towards a comprehensive international Knowledge Organization System (2008) 0.01
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    Date
    22. 9.2008 19:30:41
  8. Landry, P.: MACS: multilingual access to subject and link management : Extending the Multilingual Capacity of TEL in the EDL Project (2007) 0.01
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  9. Li, K.W.; Yang, C.C.: Automatic crosslingual thesaurus generated from the Hong Kong SAR Police Department Web Corpus for Crime Analysis (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.3, S.272-281
    Year
    2005
  10. Dextre Clarke, S.G.: Overview of ISO NP 25964 : structured vocabularies for information retrieval (2007) 0.01
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    Abstract
    ISO 2788 and ISO 5964, the international standards for monolingual and multilingual thesauri respectively dated 1986 and 1985, are very much in need of revision. A proposal to revise them was recently approved by the relevant subcommittee, ISO TC46/SC9. The work will be based on BS 8723, a five part standard of which Parts 1 and 2 were published in 2005, Parts 3 and 4 are scheduled for publication in 2007, and Part 5 is still in draft. This subsession will address aspects of the whole revision project. It is conceived as a panel session starting with a brief overview from the project leader. Then there are three presentations of 15 minutes, plus 5 minutes each for specific questions. At the end we have 20 minutes for questions to any or all of the panel, and discussion of issues from the workshop participants.
  11. Faro, S.; Francesconi, E.; Marinai, E.; Sandrucci, V.: Report on execution and results of the interoperability tests (2008) 0.01
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    Date
    7.11.2008 10:40:22
  12. Haslhofer, B.: Uniform SPARQL access to interlinked (digital library) sources (2007) 0.01
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    Date
    26.12.2011 13:22:46
  13. Hubrich, J.: CrissCross: SWD-DDC-Mapping (2008) 0.01
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    Date
    22. 8.2009 10:35:21
  14. Faro, S.; Francesconi, E.; Sandrucci, V.: Thesauri KOS analysis and selected thesaurus mapping methodology on the project case-study (2007) 0.01
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    Date
    7.11.2008 10:40:22
  15. Krause, J.: Shell Model, Semantic Web and Web Information Retrieval (2006) 0.01
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    Abstract
    The middle of the 1990s are coined by the increased enthusiasm for the possibilities of the WWW, which has only recently deviated - at least in relation to scientific information - for the differentiated measuring of its advantages and disadvantages. Web Information Retrieval originated as a specialized discipline with great commercial significance (for an overview see Lewandowski 2005). Besides the new technological structure that enables the indexing and searching (in seconds) of unimaginable amounts of data worldwide, new assessment processes for the ranking of search results are being developed, which use the link structures of the Web. They are the main innovation with respect to the traditional "mother discipline" of Information Retrieval. From the beginning, link structures of Web pages are applied to commercial search engines in a wide array of variations. From the perspective of scientific information, link topology based approaches were in essence trying to solve a self-created problem: on the one hand, it quickly became clear that the openness of the Web led to an up-tonow unknown increase in available information, but this also caused the quality of the Web pages searched to become a problem - and with it the relevance of the results. The gatekeeper function of traditional information providers, which narrows down every user query to focus on high-quality sources was lacking. Therefore, the recognition of the "authoritativeness" of the Web pages by general search engines such as Google was one of the most important factors for their success.
  16. Si, L.: Encoding formats and consideration of requirements for mapping (2007) 0.01
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    Date
    26.12.2011 13:22:27
  17. Mayr, P.; Petras, V.: Building a Terminology Network for Search : the KoMoHe project (2008) 0.01
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    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  18. Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008) 0.01
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    Date
    22. 1.2011 10:38:28
  19. Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000) 0.01
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    Date
    11. 5.2013 19:22:18
  20. Tennis, J.T.: Versioning concept schemes for persistent retrieval (2006) 0.01
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    Abstract
    Things change. Words change, meaning changes and use changes both words and meaning. In information access systems this means concept schemes such as thesauri or classification schemes change. They always have. Concept schemes that have survived have evolved over time, moving from one version, often called an edition, to the next. If we want to manage how words and meanings - and as a consequence use - change in an effective manner, and if we want to be able to search across versions of concept schemes, we have to track these changes. This paper explores how we might expand SKOS, a World Wide Web Consortium (W3C) draft recommendation in order to do that kind of tracking. The Simple Knowledge Organization System (SKOS) Core Guide is sponsored by the Semantic Web Best Practices and Deployment Working Group. The second draft, edited by Alistair Miles and Dan Brickley, was issued in November 2005. SKOS is a "model for expressing the basic structure and content of concept schemes such as thesauri, classification schemes, subject heading lists, taxonomies, folksonomies, other types of controlled vocabulary and also concept schemes embedded in glossaries and terminologies" in RDF. How SKOS handles version in concept schemes is an open issue. The current draft guide suggests using OWL and DCTERMS as mechanisms for concept scheme revision. As it stands an editor of a concept scheme can make notes or declare in OWL that more than one version exists. This paper adds to the SKOS Core by introducing a tracking system for changes in concept schemes. We call this tracking system vocabulary ontogeny. Ontogeny is a biological term for the development of an organism during its lifetime. Here we use the ontogeny metaphor to describe how vocabularies change over their lifetime. Our purpose here is to create a conceptual mechanism that will track these changes and in so doing enhance information retrieval and prevent document loss through versioning, thereby enabling persistent retrieval.