Low-cost semantic enhancement to digital library metadata and indexing: Simple yet effective strategies
Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing and query interface) would require major...
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| Vydané v: | JCDL '16 : proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries : June 19-23, 2016, Newark, NJ, USA s. 93 - 102 |
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| Hlavní autori: | , , , |
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| Jazyk: | English |
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01.06.2016
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| Abstract | Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing and query interface) would require major technological effort, and would most likely be disruptive. In this paper, we describe ways to use the results of semantic analysis and disambiguation, while retaining an existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into existing digital library metadata and index structures, and thus incorporated without the need for architecture modifications. |
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| AbstractList | Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant changes to the document retrieval mechanism (document analysis, indexing strategy, query processing and query interface) would require major technological effort, and would most likely be disruptive. In this paper, we describe ways to use the results of semantic analysis and disambiguation, while retaining an existing keyword-based search and lexicographic index. We engineer this so the output of semantic analysis (performed off-line) is suitable for import directly into existing digital library metadata and index structures, and thus incorporated without the need for architecture modifications. |
| Author | Hinze, Annika Cunningham, Sally Jo Bainbridge, David Downie, J. Stephen |
| Author_xml | – sequence: 1 givenname: Annika surname: Hinze fullname: Hinze, Annika email: hinze@waikato.ac.nz organization: Univ. of Waikato, Hamilton, New Zealand – sequence: 2 givenname: David surname: Bainbridge fullname: Bainbridge, David email: davidb@waikato.ac.nz organization: Univ. of Waikato, Hamilton, New Zealand – sequence: 3 givenname: Sally Jo surname: Cunningham fullname: Cunningham, Sally Jo email: sallyjo@waikato.ac.nz organization: Univ. of Waikato, Hamilton, New Zealand – sequence: 4 givenname: J. Stephen surname: Downie fullname: Downie, J. Stephen email: jdownie@illinois.edu organization: Libr. & Inf. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA |
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| PublicationTitle | JCDL '16 : proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries : June 19-23, 2016, Newark, NJ, USA |
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| Snippet | Most existing digital libraries use traditional lexically-based retrieval techniques. For established systems, completely replacing, or even making significant... |
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| SubjectTerms | disambiguation Encyclopedias Indexing Libraries Metadata Semantic analysis semantic enrichment Semantics |
| Title | Low-cost semantic enhancement to digital library metadata and indexing: Simple yet effective strategies |
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