-
Dextre Clarke, S.G.: Thesaural relationships (2001)
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- Date
- 22. 9.2007 15:45:57
- Series
- Information science and knowledge management; vol.2
-
Bodenreider, O.; Bean, C.A.: Relationships among knowledge structures : vocabulary integration within a subject domain (2001)
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- Series
- Information science and knowledge management; vol.2
-
Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991)
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- Date
- 8.10.2000 11:52:22
-
Zhou, G.D.; Zhang, M.: Extracting relation information from text documents by exploring various types of knowledge (2007)
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- Abstract
- Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This paper investigates the incorporation of diverse lexical, syntactic and semantic knowledge in feature-based relation extraction using support vector machines. Our study illustrates that the base phrase chunking information is very effective for relation extraction and contributes to most of the performance improvement from syntactic aspect while current commonly used features from full parsing give limited further enhancement. This suggests that most of useful information in full parse trees for relation extraction is shallow and can be captured by chunking. This indicates that a cheap and robust solution in relation extraction can be achieved without decreasing too much in performance. We also demonstrate how semantic information such as WordNet, can be used in feature-based relation extraction to further improve the performance. Evaluation on the ACE benchmark corpora shows that effective incorporation of diverse features enables our system outperform previously best-reported systems. It also shows that our feature-based system significantly outperforms tree kernel-based systems. This suggests that current tree kernels fail to effectively explore structured syntactic information in relation extraction.
- Source
- Information processing and management. 43(2007) no.4, S.969-982
-
Broughton, V.: Language related problems in the construction of faceted terminologies and their automatic management (2008)
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- Content
- The paper describes current work on the generation of a thesaurus format from the schedules of the Bliss Bibliographic Classification 2nd edition (BC2). The practical problems that occur in moving from a concept based approach to a terminological approach cluster around issues of vocabulary control that are not fully addressed in a systematic structure. These difficulties can be exacerbated within domains in the humanities because large numbers of culture specific terms may need to be accommodated in any thesaurus. The ways in which these problems can be resolved within the context of a semi-automated approach to the thesaurus generation have consequences for the management of classification data in the source vocabulary. The way in which the vocabulary is marked up for the purpose of machine manipulation is described, and some of the implications for editorial policy are discussed and examples given. The value of the classification notation as a language independent representation and mapping tool should not be sacrificed in such an exercise.
-
Green, R.: Relationships in the organization of knowledge : an overview (2001)
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- Series
- Information science and knowledge management; vol.2
-
Mikacic, M.: Statistical system for subject designation (SSSD) for libraries in Croatia (1996)
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- Date
- 31. 7.2006 14:22:21
- Source
- Cataloging and classification quarterly. 22(1996) no.1, S.77-93
-
Beghtol, C.: Relationships in classificatory structure and meaning (2001)
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- Series
- Information science and knowledge management; vol.2
-
Neelameghan, A.: Lateral relationships in multicultural, multilingual databases in the spiritual and religious domains : the OM Information service (2001)
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- Series
- Information science and knowledge management; vol.2
-
Milstead, J.L.: Standards for relationships between subject indexing terms (2001)
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- Series
- Information science and knowledge management; vol.2
-
Khoo, C.; Chan, S.; Niu, Y.: ¬The many facets of the cause-effect relation (2002)
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- Series
- Information science and knowledge management; vol.3
-
Evens, M.: Thesaural relations in information retrieval (2002)
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- Series
- Information science and knowledge management; vol.3
-
Schmitz-Esser, W.: Language of general communication and concept compatibility (1996)
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- Pages
- S.11-22
-
Relationships in the organization of knowledge (2001)
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- Series
- Information science and knowledge management; vol.2
-
¬The semantics of relationships : an interdisciplinary perspective (2002)
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- Series
- Information science and knowledge management; vol.3
-
Degez, D.: Compatibilité des langages d'indexation mariage, cohabitation ou fusion? : Quelques examples concrèts (1998)
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- Date
- 1. 8.1996 22:01:00
-
Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010)
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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
-
Maniez, J.: Fusion de banques de donnees documentaires at compatibilite des languages d'indexation (1997)
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- Date
- 1. 8.1996 22:01:00
-
Khoo, S.G.; Na, J.-C.: Semantic relations in information science (2006)
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- Abstract
- Linguists in the structuralist tradition (e.g., Lyons, 1977; Saussure, 1959) have asserted that concepts cannot be defined on their own but only in relation to other concepts. Semantic relations appear to reflect a logical structure in the fundamental nature of thought (Caplan & Herrmann, 1993). Green, Bean, and Myaeng (2002) noted that semantic relations play a critical role in how we represent knowledge psychologically, linguistically, and computationally, and that many systems of knowledge representation start with a basic distinction between entities and relations. Green (2001, p. 3) said that "relationships are involved as we combine simple entities to form more complex entities, as we compare entities, as we group entities, as one entity performs a process on another entity, and so forth. Indeed, many things that we might initially regard as basic and elemental are revealed upon further examination to involve internal structure, or in other words, internal relationships." Concepts and relations are often expressed in language and text. Language is used not just for communicating concepts and relations, but also for representing, storing, and reasoning with concepts and relations. We shall examine the nature of semantic relations from a linguistic and psychological perspective, with an emphasis on relations expressed in text. The usefulness of semantic relations in information science, especially in ontology construction, information extraction, information retrieval, question-answering, and text summarization is discussed. Research and development in information science have focused on concepts and terms, but the focus will increasingly shift to the identification, processing, and management of relations to achieve greater effectiveness and refinement in information science techniques. Previous chapters in ARIST on natural language processing (Chowdhury, 2003), text mining (Trybula, 1999), information retrieval and the philosophy of language (Blair, 2003), and query expansion (Efthimiadis, 1996) provide a background for this discussion, as semantic relations are an important part of these applications.
-
Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021)
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- Date
- 22. 1.2021 14:24:32
