Query Expansion by Taxonomy

Query Expansion by Taxonomy

Troels Andreasen (Roskilde University, Denmark) and Henrik Bulskov (Roskilde University, Denmark)
Copyright: © 2008 |Pages: 25
DOI: 10.4018/978-1-59904-853-6.ch013
OnDemand PDF Download:


The use of taxonomies and ontologies as a foundation for enhancing textual information base access has recently gained increased attention in the field of information retrieval. The objective is to provide a domain model of an application domain where key concepts are organized and related. If queries and information base objects can be mapped to this, then the ontology may provide a valuable basis for a means of query evaluation that matches conceptual content rather than just strings, words, and numbers. This chapter presents an overview of the use of taxonomies and ontologies in querying with a special emphasis on similarity derived from the ontology. The notion of ontology is briefly introduced and similarity is surveyed. The former can be considered a generalization of taxonomy, while the latter can be seen as an interpretation where aspects of formal reasoning are ignored and replaced by measures reflecting how close concepts are connected, thereby significantly enhancing performance. In turn, similarity measures can be used in conceptual querying. Queries can be expanded with similar concepts, thereby causing query evaluation to be based on concepts from the domain model rather than on words in the query.

Key Terms in this Chapter

Recall: The proportion of relevant documents that are retrieved out of all relevant documents available.

Ontology-Based Querying: Evaluation of queries against a database utilizing an ontology describing the domain of the database

Query Expansion: Given a similarity relation over query terms, expansion of a query refers to the addition of similar terms to the query, leading to a relaxed query and an extended answer.

Description: A description for a text unit (document, paragraph, sentence) is the index terms related to this.

Ontology: An ontology specifies a conceptualization, that is, a structure of related concepts for a given domain.

Precision: The proportion of retrieved and relevant documents to all the documents retrieved.

Taxonomy: A taxonomy is a hierarchical structure displaying parent-child relationships (a classification). A taxonomy extends a vocabulary and is a special case of a the more general ontology.

Similarity: Similarity refers to the nearness or proximity of concepts.

Complete Chapter List

Search this Book: