Background and Foreground Knowledge in Dynamic Ontology Construction
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CONTRIBUTORS:
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PROCEEDINGS TITLE:
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YEAR:
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2003
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PUB TYPE:
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Conference Paper in Proceedings
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PAGES:
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n/a -
n/a
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SUBJECT(S):
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Information Storage and Retrieval, Content analysis and Indexing, Linguistic Processing, Thesaurus, User/Machine Systems, Human Information Processing, Management, Design, Economics, Experimentation, Human Factors
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DISCIPLINE:
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Computer Science
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HTTP:
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http://www.dcs.shef.ac.uk/~kiffer/papers/Brewster_SemWeb03.pdf
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LANGUAGE:
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English
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PUB ID:
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103-409-742
(Last edited on
2004/11/19 03:49:24 US/Mountain)
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SPONSOR(S):
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ABSTRACT:
Ontologies have become a key component in the Semantic Web and Knowledge management. One accepted goal is to construct ontologies from a domain specific set of texts. An ontology reflects the background knowledge used in writing and reading a text. However, a text is an act of knowledge maintenance, in that it re-enforces the background assumptions, alters links and associations in the ontology, and adds new concepts. This means that background knowledge is rarely expressed in a machine interpretable manner. When it is, it is usually in the conceptual boundaries of the domain, e.g. in textbooks or when ideas are borrowed into other domains. We argue that a partial solution to this lies in searching external resources such as specialized glossaries and the internet. We show that a random selection of concept pairs from the Gene Ontology do not occur in a relevant corpus of texts from the journal Nature. In contrast, a significant proportion can be found on the internet. Thus, we conclude that sources external to the domain corpus are necessary for the automatic construction of ontologies.
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