Concept based retrieval in classical IR systems

Giger, Hans

doi:10.1145/62437.62461

Cited by 9 publications

(2 citation statements)

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“…Giger (1988) incorporated a mapping between concepts from a thesaurus and words as they appear in the collection. The main motivation was to move beyond text-based retrieval and bridge the semantic gap between the user and the information retrieval system, a motivation closely related to ours.…”

Section: Related Workmentioning

confidence: 99%

Conceptual language models for domain-specific retrieval

Meij¹,

Trieschnigg

Rijke³

et al. 2010

Information Processing & Management

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a b s t r a c tOver the years, various meta-languages have been used to manually enrich documents with conceptual knowledge of some kind. Examples include keyword assignment to citations or, more recently, tags to websites. In this paper we propose generative concept models as an extension to query modeling within the language modeling framework, which leverages these conceptual annotations to improve retrieval. By means of relevance feedback the original query is translated into a conceptual representation, which is subsequently used to update the query model.Extensive experimental work on five test collections in two domains shows that our approach gives significant improvements in terms of recall, initial precision and mean average precision with respect to a baseline without relevance feedback. On one test collection, it is also able to outperform a text-based pseudo-relevance feedback approach based on relevance models. On the other test collections it performs similarly to relevance models. Overall, conceptual language models have the added advantage of offering query and browsing suggestions in the form of conceptual annotations. In addition, the internal structure of the meta-language can be exploited to add related terms.Our contributions are threefold. First, an extensive study is conducted on how to effectively translate a textual query into a conceptual representation. Second, we propose a method for updating a textual query model using the concepts in conceptual representation. Finally, we provide an extensive analysis of when and how this conceptual feedback improves retrieval.

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Section: Related Workmentioning

confidence: 99%

Conceptual language models for domain-specific retrieval

Meij¹,

Trieschnigg

Rijke³

et al. 2010

Information Processing & Management

View full text Add to dashboard Cite

show abstract

“…This was described in the early 1970's. In 1988, an algorithm was given that described a means of using this approach to improve an existing Boolean retrieval system [Giger, 1988]. Terms in the original Boolean system were replaced with "concepts".…”

Section: Developing Query Term Based On "Concepts"mentioning

confidence: 99%