Book chapter
Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques
Data Warehousing and Knowledge Discovery, pp 326-335
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Query expansion techniques are used to find the desired set of query terms to improve retrieval performance. One of the limitations with the query expansion techniques is that a query is often expanded only by the linguistic features of terms. This paper presents a novel semantic query expansion technique that combines association rules with ontologies and information retrieval techniques. We propose to use the association rule discovery to find good candidate terms to improve the retrieval performance. These candidate terms are automatically derived from collections and added to the original query. Our method is differentiated from others in that 1) it utilizes the semantics as well as linguistic properties of unstructured text corpus and 2) it makes use of contextual properties of important terms discovered by association rules. Experiments conducted on a subset of TREC collections give quite encouraging results. We achieve from 15.49% to 20.98% improvement in term of P@20 with TREC5 ad hoc queries.
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Details
- Title
- Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques
- Creators
- Min Song - Drexel UniversityIl-Yeol Song - Drexel UniversityXiaohua Hu - Drexel UniversityRobert Allen - Drexel University
- Publication Details
- Data Warehousing and Knowledge Discovery, pp 326-335
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000231850500032
- Scopus ID
- 2-s2.0-26844573379
- Other Identifier
- 991019170120004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods