-
Matthews, B.; Jones, C.; Puzon, B.; Moon, J.; Tudhope, D.; Golub, K.; Nielsen, M.L.: ¬An evaluation of enhancing social tagging with a knowledge organization system (2010)
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- Date
- 29. 8.2010 11:39:20
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Golub, K.; Hansson, J.; Soergel, D.; Tudhope, D.: Managing classification in libraries : a methodological outline for evaluating automatic subject indexing and classification in Swedish library catalogues (2015)
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- Source
- Classification and authority control: expanding resource discovery: proceedings of the International UDC Seminar 2015, 29-30 October 2015, Lisbon, Portugal. Eds.: Slavic, A. u. M.I. Cordeiro
-
Golub, K.; Moon, J.; Nielsen, M.L.; Tudhope, D.: EnTag: Enhanced Tagging for Discovery (2008)
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Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007)
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- Date
- 22. 9.2007 15:41:14
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Tudhope, D.; Hodge, G.: Terminology registries (2007)
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- Date
- 26.12.2011 13:22:07
-
Tudhope, D.; Binding, C.; Blocks, D.; Cunliffe, D.: FACET: thesaurus retrieval with semantic term expansion (2002)
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- 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.
-
Khoo, M.J.; Ahn, J.-w.; Binding, C.; Jones, H.J.; Lin, X.; Massam, D.; Tudhope, D.: Augmenting Dublin Core digital library metadata with Dewey Decimal Classification (2015)
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-
Binding, C.; Tudhope, D.: Integrating faceted structure into the search process (2004)
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- Date
- 29. 8.2004 9:08:02
-
Golub, K.; Tudhope, D.; Zeng, M.L.; Zumer, M.: Terminology registries for knowledge organization systems : functionality, use, and attributes (2014)
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- Date
- 22. 8.2014 17:12:54
-
Tudhope, D.; Blocks, D.; Cunliffe, D.; Binding, C.: Query expansion via conceptual distance in thesaurus indexed collections (2006)
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- Date
- 30. 7.2011 16:07:29
-
Jones, I.; Cunliffe, D.; Tudhope, D.: Natural language processing and knowledge organization systems as an aid to retrieval (2004)
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- Date
- 29. 8.2004 19:29:56
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Vlachidis, A.; Binding, C.; Tudhope, D.; May, K.: Excavating grey literature : a case study on the rich indexing of archaeological documents via natural language-processing techniques and knowledge-based resources (2010)
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- Date
- 29. 8.2010 12:03:40
