Document (#32176)

Author

Tudhope, D.
Binding, C.
Blocks, D.
Cunliffe, D.

Title

FACET: thesaurus retrieval with semantic term expansion

Source

Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries : JCDL 2002 ; July 14 - 18, 2002, Portland, Oregon, USA. Ed. by Gary Marchionini

Imprint

New York, NY : ACM Press

Year

2002

Pages

S.384

Abstract

There are many advantages for Digital Libraries in indexing with classifications or thesauri, but some current disincentive in the lack of flexible retrieval tools that deal with compound descriptors. This demonstration of a research prototype illustrates a matching function for compound descriptors, or multi-concept subject headings, that does not rely on exact matching but incorporates term expansion via thesaurus semantic relationships to produce ranked results that take account of missing and partially matching terms. The matching function is based on a measure of semantic closeness between terms.The work is part of the EPSRC funded FACET project in collaboration with the UK National Museum of Science and Industry (NMSI) which includes the National Railway Museum. An export of NMSI's Collections Database is used as the dataset for the research. The J. Paul Getty Trust's Art and Architecture Thesaurus (AAT) is the main thesaurus in the project. The AAT is a widely used thesaurus (over 120,000 terms). Descriptors are organised in 7 facets representing separate conceptual classes of terms.The FACET application is a multi tiered architecture accessing a SQL Server database, with an OLE DB connection. The thesauri are stored as relational tables in the Server's database. However, a key component of the system is a parallel representation of the underlying semantic network as an in-memory structure of thesaurus concepts (corresponding to preferred terms). The structure models the hierarchical and associative interrelationships of thesaurus concepts via weighted poly-hierarchical links. Its primary purpose is real-time semantic expansion of query terms, achieved by a spreading activation semantic closeness algorithm. Queries with associated results are stored persistently using XML format data. A Visual Basic interface combines a thesaurus browser and an initial term search facility that takes into account equivalence relationships. Terms are dragged to a direct manipulation Query Builder which maintains the facet structure.

Footnote

Vgl.: http://portal.acm.org/citation.cfm?id=544220.544331&coll=GUIDE&dl=GUIDE&type=series&idx=544220&part=Proceedings&WantType=Proceedings&title=International%20Conference%20on%20Digital%20Libraries&CFID=13381439&CFTOKEN=42909512

Theme

Information Gateway
Semantisches Umfeld in Indexierung u. Retrieval
Beziehungen verbale / systematische Erschließung

Object

FACET

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2. Tudhope, D.; Blocks, D.; Cunliffe, D.; Binding, C.: Query expansion via conceptual distance in thesaurus indexed collections (2006) 1.13

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3. Jones, S.: ¬A thesaurus data model for an intelligent retrieval system (1993) 0.75

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4. Tudhope, D.; Binding, C.; Blocks, D.; Cuncliffe, D.: Representation and retrieval in faceted systems (2003) 0.73

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5. Tudhope, D.; Binding, C.: Toward terminology services : experiences with a pilot Web service thesaurus browser (2006) 0.51

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