Search (66 results, page 1 of 4)

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Date

22. 4.1996 3:39:53

Source

Information processing and management. 26(1990), no.5, S.629-640

Year

1990

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Source

Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly

Year

2010

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Abstract

This thesis focuses on conversion of vocabularies for representation and integration of collections on the Semantic Web. A secondary focus is how to represent metadata schemas (RDF Schemas representing metadata element sets) such that they interoperate with vocabularies. The primary domain in which we operate is that of cultural heritage collections. The background worldview in which a solution is sought is that of the Semantic Web research paradigmwith its associated theories, methods, tools and use cases. In other words, we assume the SemanticWeb is in principle able to provide the context to realize interoperable collections. Interoperability is dependent on the interplay between representations and the applications that use them. We mean applications in the widest sense, such as "search" and "annotation". These applications or tasks are often present in software applications, such as the E-Culture application. It is therefore necessary that applications requirements on the vocabulary representation are met. This leads us to formulate the following problem statement: HOW CAN EXISTING VOCABULARIES BE MADE AVAILABLE TO SEMANTIC WEB APPLICATIONS?
We refine the problem statement into three research questions. The first two focus on the problem of conversion of a vocabulary to a Semantic Web representation from its original format. Conversion of a vocabulary to a representation in a Semantic Web language is necessary to make the vocabulary available to SemanticWeb applications. In the last question we focus on integration of collection metadata schemas in a way that allows for vocabulary representations as produced by our methods. Academisch proefschrift ter verkrijging van de graad Doctor aan de Vrije Universiteit Amsterdam, Dutch Research School for Information and Knowledge Systems.

Series

SIKS Dissertation Series No. 2010-40

Year

2010

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Year

1990

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Year

1990

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Source

Proceedings of the Sixth Workshop on Scripting and Development for the Semantic Web, Crete, Greece, May 31, 2010, CEUR Workshop Proceedings, SFSW - http://ceur-ws.org/Vol-699/Paper2.pdf

Year

2010

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Abstract

Automatic thesaurus construction is accomplished by extracting term relations mechanically. A popular method uses statistical analysis to discover the term relations. For low frequency terms the statistical information of the terms cannot be reliably used for deciding the relationship of terms. This problem is referred to as the data sparseness problem. Many studies have shown that low frequency terms are of most use in thesaurus construction. Characterizes the statistical behaviour of terms by using an inference network. Develops a formal approach using a Baysian network for the data sparseness problem

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Abstract

Die hier aufgeführten Regeln beziehen sich ausschließlich auf hier aufgeführte Relationsarten und die Beziehungen unter ihnen. Die Ergebnisse sind in Zusammenarbeit mit der Thesaurusredaktion des Projekts ATLAS entstanden (ATLAS 1990). Gedanken von Rostek & Fischer (1988), Schäuble (1989), Vanek (1980), Sick (1989) und Konrad (1990) sowie die Empfehlungen der DIN 1463 (1987) wurden mit berücksichtigt. Diese Regeln werden außerdem für die Entwicklung des Textinterpretationssystem ATLAS/ti (Muhr 1990) und ATLAS/PfleSaurus (Willenborg 1991) weiterverwendet. Punkt 1. enthält Definitionen: Thesaurus, Thesaurusrelationen und deren formal logische Eigenschaften. Punkt 2. enthält Konsistenzregeln. Punkt 3. enthält Inferenzregeln. Punkt 4. enthält zwei Beispielthesauri. Ein System zur Erstellung und Pflege von Thesauri solllte die unter Punkt 1.-3. beschriebenen Definitionen und Regeln berücksichtigen.

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Source

International classification. 17(1990), S.129-132

Year

1990

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Source

South African journal of library and information science. 58(1990) no.2, S.174-179

Year

1990

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Source

Advances in ontologies: Proceedings of the Sixth Australasian Ontology Workshop Adelaide, Australia, 7 December 2010. Eds.: K. Taylor, T.Meyer u. M.Orgun [http://krr.meraka.org.za/~aow2010/AOW2010-preproceedings.pdf]

Year

2010

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Abstract

Calvin Mooers' work toward the resolution of the problem of ambiguity in indexing went unrecognized for years. At the time he introduced the "descriptor" - a term with a very distinct meaning-indexers were, for the most part, taking index terms directly from the document, without either rationalizing them with context or normalizing them with some kind of classification. It is ironic that Mooers' term came to be attached to the popular but unsophisticated indexing methods which he was trying to root out. Simply expressed, what Mooers did was to take the dictionary definitions of terms and redefine them so clearly that they could not be used in any context except that provided by the new definition. He did, at great pains, construct such meanings for over four hundred words; disambiguation and specificity were sought after and found for these words. He proposed that all indexers adopt this method so that when the index supplied a term, it also supplied the exact meaning for that term as used in the indexed document. The same term used differently in another document would be defined differently and possibly renamed to avoid ambiguity. The disambiguation was achieved by using unabridged dictionaries and other sources of defining terminology. In practice, this tends to produce circularity in definition, that is, word A refers to word B which refers to word C which refers to word A. It was necessary, therefore, to break this chain by creating a new, definitive meaning for each word. Eventually, means such as those used by Austin (q.v.) for PRECIS achieved the same purpose, but by much more complex means than just creating a unique definition of each term. Mooers, however, was probably the first to realize how confusing undefined terminology could be. Early automatic indexers dealt with distinct disciplines and, as long as they did not stray beyond disciplinary boundaries, a quick and dirty keyword approach was satisfactory. The trouble came when attempts were made to make a combined index for two or more distinct disciplines. A number of processes have since been developed, mostly involving tagging of some kind or use of strings. Mooers' solution has rarely been considered seriously and probably would be extremely difficult to apply now because of so much interdisciplinarity. But for a specific, weIl defined field, it is still weIl worth considering. Mooers received training in mathematics and physics from the University of Minnesota and the Massachusetts Institute of Technology. He was the founder of Zator Company, which developed and marketed a coded card information retrieval system, and of Rockford Research, Inc., which engages in research in information science. He is the inventor of the TRAC computer language.

Footnote

Original in: Information retrieval today: papers presented at an Institute conducted by the Library School and the Center for Continuation Study, University of Minnesota, Sept. 19-22, 1962. Ed. by Wesley Simonton. Minneapolis, Minn.: The Center, 1963. S.21-36.

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Year

1990

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Source

Knowledge organization. 37(2010) no.3, S.185-202

Year

2010

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Source

Mitteilungen der Arbeitsgemeinschaft der Parlaments- und Behördenbibliotheken. 1989, H.67, S.1-22

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Source

Standards for the international exchange of bibliographic information: papers presented at a course held at the School of Library, Archive and Information Studies, University College, London, 3-18 August 1990. Ed.: I.C. McIlwaine

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Abstract

Although the technical, mathematical and linguistic principles of search date back to the early 1960s and enterprise search applications have been commercially available since the 1980s; it is only since the launch of Microsoft SharePoint 2010 and the integration of the Apache Lucene and Solr projects in 2010 that there has been a wider adoption of enterprise search applications. Surveys carried out over the last five years indicate that although enterprises accept that search applications are essential in locating information, there has not been any significant investment in search teams to support these applications. Where taxonomies, thesauri and metadata have been used to improve the search user interface and enhance the search experience, the indications are that levels of search satisfaction are significantly higher. The challenges faced by search managers in developing and maintaining these tools include a lack of published research on the use of these tools and difficulty in recruiting search team members with the requisite skills and experience. There would seem to be an important and immediate opportunity to bring together the research, knowledge organization and enterprise search communities to explore how good practice in the use of taxonomies, thesauri and metadata in enterprise search can be established, enhanced and promoted.

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Abstract

The information retrieval problem is described starting from an analysis of the concepts 'user's information request' and 'information offerings of texts'. It is shown that natural language phrases are a more adequate medium for expressing information requests and information offerings than character string based query and indexing languages complemented by Boolean oprators. The phrases must be represented as concepts to reach a language invariant level for rule based relevance analysis. The special type of representation called advanced thesaurus is used for the semantic representation of natural language phrases and for relevance processing. The analysis of the retrieval problem leads to a symmetric system structure

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Date

15. 3.2000 10:22:37