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Retrieval, Crawling and Fusion of Entity-centric Data on the Web Read chapter Read first chapter

2017 | OriginalPaper | Chapter

An Ontology-Based Approach to Information Retrieval

Authors : Ana Meštrović, Andrea Calì

Published in: Semantic Keyword-Based Search on Structured Data Sources

Publisher: Springer International Publishing

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Abstract

We define a general framework for ontology-based information retrieval (IR). In our approach, document and query expansion rely on a base taxonomy that is extracted from a lexical database or a Linked Data set (e.g. WordNet, Wiktionary etc.). Each term from a document or query is modelled as a vector of base concepts from the base taxonomy. We define a set of mapping functions which map multiple ontological layers (dimensions) onto the base taxonomy. This way, each concept from the included ontologies can also be represented as a vector of base concepts from the base taxonomy. We propose a general weighting schema which is used for the vector space model. Our framework can therefore take into account various lexical and semantic relations between terms and concepts (e.g. synonymy, hierarchy, meronymy, antonymy, geo-proximity, etc.). This allows us to avoid certain vocabulary problems (e.g. synonymy, polysemy) as well as to reduce the vector size in the IR tasks.

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Footnotes
1
The different ontology layers are not actually layered, strictly speaking, but they constitute different aspects of ontological information that can be somewhat seen as layers.
 
2
A simplistic approach could be to ignore the influence for such terms, but we do believe a more suitable technique ought to be devised.
 
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Metadata
Title
An Ontology-Based Approach to Information Retrieval
Authors
Ana Meštrović
Andrea Calì
Copyright Year
2017
Publisher
Springer International Publishing
Book
Semantic Keyword-Based Search on Structured Data Sources

Print ISBN: 978-3-319-53639-2

Electronic ISBN: 978-3-319-53640-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-53640-8_13