DocumentCode
1841305
Title
An information model for managing domain knowledge via Faceted Taxonomies
Author
Chu, Hung-Ju ; Chow, Randy Y C
Author_Institution
Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
fYear
2010
fDate
4-6 Aug. 2010
Firstpage
378
Lastpage
379
Abstract
Faceted Taxonomies are often used for managing complex knowledge within a domain. They can be used as a reference model for bottom-up new information analysis and integration. This paper proposes a domain information model that quantifies the semantics (indexing concepts) of the faceted taxonomy nodes and uses them as indexer for integrating and managing knowledge such as software requirements. Through a working example, this paper shows how the indexing concepts and concepts in knowledge (indexed concepts) are associated via semantic similarity measurement and how the associations are used for managing domain knowledge, such as merging requirements.
Keywords
indexing; knowledge management; domain knowledge management; faceted taxonomies; indexing concepts; information analysis; information model; semantic similarity measurement; Business; Computational modeling; Context; Indexing; Ontologies; Semantics; Taxonomy; Faceted Taxonomy; Information Retrieval; Knowledge Management; Semantic Similarity Measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Reuse and Integration (IRI), 2010 IEEE International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-8097-5
Type
conf
DOI
10.1109/IRI.2010.5558904
Filename
5558904
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