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2013 Ninth International Conference on Semantics, Knowledge and Grids, 2013
Concept based search is a method that enhances information retrieval systems using semantic relationships. The recall in concept based search is relatively low. That low recall comes from the fact that it is not easy to represent a concept completely. Query expansion intends to fill a gap because concept representation is always partial.
Abdoulahi Boubacar, Zhendong Niu
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Concept based search is a method that enhances information retrieval systems using semantic relationships. The recall in concept based search is relatively low. That low recall comes from the fact that it is not easy to represent a concept completely. Query expansion intends to fill a gap because concept representation is always partial.
Abdoulahi Boubacar, Zhendong Niu
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2009 Eighth IEEE/ACIS International Conference on Computer and Information Science, 2009
The problem of word mismatch is fundamental to informationretrieval. The primary goal of this paper is effectively solve theabove-mentioned problem by presenting a novel approach to queryexpansion to LSA and factor analysis, that has a solid statisticalfoundation, called PLSA, since it is based on the likelihoodprinciple and defines a proper generative
Li Wei-jiang, Zhao Tie-jun, Zang Wen-mao
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The problem of word mismatch is fundamental to informationretrieval. The primary goal of this paper is effectively solve theabove-mentioned problem by presenting a novel approach to queryexpansion to LSA and factor analysis, that has a solid statisticalfoundation, called PLSA, since it is based on the likelihoodprinciple and defines a proper generative
Li Wei-jiang, Zhao Tie-jun, Zang Wen-mao
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Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93, 1993
Query expansion methods have been studied for a long time - with debatable success in many instances. In this paper we present a probabilistic query expansion model based on a similarity thesaurus which was constructed automatically. A similarity thesaurus reflects domain knowledge about the particular collection from which it is constructed.
Yonggang Qiu, Hans-Peter Frei
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Query expansion methods have been studied for a long time - with debatable success in many instances. In this paper we present a probabilistic query expansion model based on a similarity thesaurus which was constructed automatically. A similarity thesaurus reflects domain knowledge about the particular collection from which it is constructed.
Yonggang Qiu, Hans-Peter Frei
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ExpansionTool: Concept-Based Query Expansion and Construction
Information Retrieval, 2001Summary: We develop a deductive data model for concept-based query expansion. It is based on three abstraction levels: the conceptual, linguistic and string levels. Concepts and relationships among them are represented at the conceptual level. The linguistic level gives natural language expressions for concepts. Each expression has one or more matching
Järvelin, Kalervo +2 more
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Selecting expansion terms in automatic query expansion
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, 2001In automatic query expansion, where queries are automatically expanded with terms not in the original query but extracted from initially retrieved top-ranked documents, each term in the top-ranked documents is evaluated for its usefulness as an expansion term to be added to the original query.
Hiroko Mano, Yasushi Ogawa
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Studying Query Expansion Effectiveness
2009Query expansion is an effective technique in improving the retrieval performance for ad-hoc retrieval. However, query expansion can also fail, leading to a degradation of the retrieval performance. In this paper, we aim to provide a better understanding of query expansion by an empirical study on what factors can affect query expansion, and how these ...
Ben He, Iadh Ounis
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On relevance, time and query expansion
Proceedings of the 20th ACM international conference on Information and knowledge management, 2011We present the results of our exploratory analysis on the relationship that exists between relevance and time. We observe how the amount of documents published in a given interval of time is related to the probability of relevance, and, using the time series analysis, we show the existence of a correlation between time and relevance.
Amati, G, Amodeo, G, GAMBOSI, GIORGIO
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Reflecting all query aspects on query expansion.
AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010This paper presents the effect of reflecting all query aspects on query expansion using local context analysis and similarity measure in improving MEDLINE document retrieval. For the OHSUMED test collection, a comparison of our experimental results shows that they are more effective than using the standard Rocchio's weight, and all query aspects are ...
Sooyoung, Yoo, Jinwook, Choi
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2008
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,
Troels Andreasen, Henrik Bulskov
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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,
Troels Andreasen, Henrik Bulskov
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Query Expansion with Temporal Segmented Texts
2014The use of temporal data extracted from text, to improve the effectiveness of Information Retrieval systems, has recently been the focus of important research work. Our research hypothesis is that the usage of the temporal relationship between words improves the Information Retrieval results.
Craveiro, Olga +2 more
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