Low-cost Semantic Enhancement to Digital Library Metadata and Indexing
Author(s) -
Annika Hinze,
David Bainbridge,
Sally Jo Cunningham,
J. Stephen Downie
Publication year - 2016
Publication title -
research commons (university of waikato)
Language(s) - English
Resource type - Conference proceedings
ISSN - 2575-7865
DOI - 10.1145/2910896.2910910
Subject(s) - computer science , search engine indexing , metadata , information retrieval , digital library , lexicographical order , index (typography) , interface (matter) , semantics (computer science) , semantic analysis (machine learning) , world wide web , maximum bubble pressure method , combinatorics , literature , programming language , parallel computing , mathematics , poetry , art , bubble
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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