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7,370
Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology
- Dojat, Keravnou, Barahona (Eds.), LNAI
, 2003
"... Abstract. This paper deals with the problem of information retrieval on the Web and present the CISMeF project (acronym of Catalogue and Index of French-speaking Medical Sites). Information retrieval in the CISMeF catalogue is done with a terminology that is similar to ontology of medical domain an ..."
Abstract
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Cited by 3 (2 self)
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and a set of metadata. This allows us to place the project at an overlap between the present Web, which is informal, and the forthcoming Semantic Web. We also describe an ongoing work, which consists of applying three knowledge-based methods in order to enhance information retrieval.
Knowledge-based query expansion to support scenario-specific retrieval of medical free text
- Information Retrieval
, 2005
"... In retrieving medical free text, users are often interested in answers pertinent to certain scenarios that correspond to common tasks performed in medical practice, e.g., treatment ordiagnosis of a disease. A major challenge in handling such queries is that scenario terms in the query (e.g. treatmen ..."
Abstract
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Cited by 35 (1 self)
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.g. treatment) are often too general to match specialized terms in relevant documents (e.g. chemotherapy). In this paper, we propose a knowledge-based query expansion method that exploits the UMLS knowledge source to append the original query with additional terms that are specifically relevant to the query’s
ABSTRACT Knowledge-Based Query Expansion to Support Scenario-Specific Retrieval of Medical Free Text
"... In retrieving medical free text, users are often interested in answers relevant to certain scenarios, scenarios that correspond to common tasks in medical practice, e.g., “treatment ” or “diagnosis” of a disease. Consequently, the queries they pose are often scenario-specific, e.g., “lung cancer, tr ..."
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, treatment. ” A fundamental challenge in handling such queries is that scenario terms in the query (e.g. “treatment”) are too general to match specialized terms in relevant documents (e.g. “lung excision”). In this paper we propose a knowledge-based query expansion method that exploits the UMLS knowledge
scenario-specific retrieval of medical free text
, 2007
"... Knowledge-based query expansion to support ..."
Query Expansion Using Local and Global Document Analysis
- In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, 1996
"... Automatic query expansion has long been suggested as a technique for dealing with the fundamental issue of word mismatch in information retrieval. A number of approaches to expansion have been studied and, more recently, attention has focused on techniques that analyze the corpus to discover word re ..."
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Cited by 610 (24 self)
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Automatic query expansion has long been suggested as a technique for dealing with the fundamental issue of word mismatch in information retrieval. A number of approaches to expansion have been studied and, more recently, attention has focused on techniques that analyze the corpus to discover word
Tractable reasoning and efficient query answering in description logics: The DL-Lite family
- J. OF AUTOMATED REASONING
, 2007
"... We propose a new family of Description Logics (DLs), called DL-Lite, specifically tailored to capture basic ontology languages, while keeping low complexity of reasoning. Reasoning here means not only computing subsumption between concepts, and checking satisfiability of the whole knowledge base, b ..."
Abstract
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Cited by 497 (123 self)
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, but also answering complex queries (in particular, unions of conjunctive queries) over the instance level (ABox) of the DL knowledge base. We show that, for the DLs of the DL-Lite family, the usual DL reasoning tasks are polynomial in the size of the TBox, and query answering is LogSpace in the size
Query expansion using lexical-semantic relations
- In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
, 1994
"... Applications such as office automation, news filtering, help facilities in complex systems, and the like require the ability to retrieve documents from full-text databases where vocabulary problems can be particularly severe. Experiments performed on small collections with single-domain thesauri sug ..."
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Cited by 395 (1 self)
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suggest that expanding query vectors with words that are lexically related to the original query words can ameliorate some of the problems of mismatched vocabularies. This paper examines the utility of lexical query expansion in the large, diverse TREC collection. Concepts are represented by Word
Working Knowledge
, 1998
"... While knowledge is viewed by many as an asset, it is often difficult to locate particular items within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work ..."
Abstract
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Cited by 527 (0 self)
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While knowledge is viewed by many as an asset, it is often difficult to locate particular items within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work
Markov Logic Networks
- MACHINE LEARNING
, 2006
"... We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge base with a weight attached to each formula (or clause). Together with a set of constants representing objects in the ..."
Abstract
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Cited by 816 (39 self)
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We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge base with a weight attached to each formula (or clause). Together with a set of constants representing objects
An Efficient Boosting Algorithm for Combining Preferences
, 1999
"... The problem of combining preferences arises in several applications, such as combining the results of different search engines. This work describes an efficient algorithm for combining multiple preferences. We first give a formal framework for the problem. We then describe and analyze a new boosting ..."
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Cited by 727 (18 self)
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search strategies, each of which is a query expansion for a given domain. For this task, we compare the performance of RankBoost to the individual search strategies. The second experiment is a collaborative-filtering task for making movie recommendations. Here, we present results comparing Rank
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