Current information retrieval systems focus on the use of keywords to respond to user queries. We propose using surface level knowledge to improve retrieval accuracy. Our approach is based on (1) the database concept of semantic modeling (particularly entity attributes and relationship properties) and (2) the linguistic concept of thematic roles, also referred to in the literature as participant roles, semantic roles, and case roles. We include an example to illustrate our approach. Some test results are also reported
The paper tries to explore how ontologies can contribute to information retrieval (IR) systems. Conc...
Most approaches to information retrieval have focused primarily on word co-occurrence, or what is ty...
The goal of information retrieval (IR) is to map a natural language query, which specifies the user ...
Current information retrieval systems focus on the use of keywords to respond to user queries. We pr...
Current information retrieval systems focus on the use of keywords to respond to user queries. We pr...
Abstract. In this paper, we propose a new approach to entity-based information retrieval by exploiti...
The rapid growth of on-line information on the Internet and other platforms presents a great chal-le...
Traditional Information Retrieval (IR) systems are based on bag-of-words representation. This approa...
The first computational Information Retrieval projects were straightforward encodings of card catal...
Information retrieval systems can be made more effective by providing more expressive query language...
A searcher in a list of phrases which serves as an index to a set of documents often has problems fi...
International audienceThis document describes the work made for obtaining master degree in Universit...
Traditional information retrieval techniques based on keyword search help to identify a ranked set o...
The increase in the amounts of available information, coupled with the rising importance of informa...
The search tools and information retrieval systems on the contemporary Web use keywords, lexical ana...
The paper tries to explore how ontologies can contribute to information retrieval (IR) systems. Conc...
Most approaches to information retrieval have focused primarily on word co-occurrence, or what is ty...
The goal of information retrieval (IR) is to map a natural language query, which specifies the user ...
Current information retrieval systems focus on the use of keywords to respond to user queries. We pr...
Current information retrieval systems focus on the use of keywords to respond to user queries. We pr...
Abstract. In this paper, we propose a new approach to entity-based information retrieval by exploiti...
The rapid growth of on-line information on the Internet and other platforms presents a great chal-le...
Traditional Information Retrieval (IR) systems are based on bag-of-words representation. This approa...
The first computational Information Retrieval projects were straightforward encodings of card catal...
Information retrieval systems can be made more effective by providing more expressive query language...
A searcher in a list of phrases which serves as an index to a set of documents often has problems fi...
International audienceThis document describes the work made for obtaining master degree in Universit...
Traditional information retrieval techniques based on keyword search help to identify a ranked set o...
The increase in the amounts of available information, coupled with the rising importance of informa...
The search tools and information retrieval systems on the contemporary Web use keywords, lexical ana...
The paper tries to explore how ontologies can contribute to information retrieval (IR) systems. Conc...
Most approaches to information retrieval have focused primarily on word co-occurrence, or what is ty...
The goal of information retrieval (IR) is to map a natural language query, which specifies the user ...