منابع مشابه
Evaluation of an Information Retrieval System for the Semantic Desktop using Standard Measures from Information Retrieval
Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrat...
متن کاملEvaluating an Information Retrieval System for the Semantic Desktop using Standard Measures from Information Retrieval
Evaluation of information retrieval systems is a critical aspect of information retrieval research. New retrieval paradigms, as retrieval in the Semantic Web, present an additional challenge for system evaluation as no off-the-shelf test corpora for evaluation exist. This paper describes the approach taken to evaluate an information retrieval system built for the Semantic Desktop and demonstrat...
متن کاملThe socio - cognitive theory in information retrieval (IR)
Abstract Background and Aim: The socio-cognitive theory introduced in information science by Horland and Alberchtsen. The socio-cognitive view turns the traditional cognitive program upside down. The socio-cognitive theory emphasizes on different cultural and social structures of users. Hence, the aim of the article is to explain the role of socio - cognitive theory in information retrieval (I...
متن کاملPublic Transport Ontology for Passenger Information Retrieval
Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...
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ژورنال
عنوان ژورنال: D-Lib Magazine
سال: 1997
ISSN: 1082-9873
DOI: 10.1045/april97-lynch