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Treffer: On inference rules of logic-based information retrieval systems

Title:
On inference rules of logic-based information retrieval systems
Authors:
Source:
Information processing & management. 30(1):43-59
Publisher Information:
Oxford: Elsevier Science, 1994.
Publication Year:
1994
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Information and communication sciences, Sciences de l'information communication, Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Logique mathématique, Mathematical logic, Lógica matemática, Théorie Shannon, Shannon theory, Teoría Shannon, Base donnée déductive, Deductive database, Base dato deductiva, Besoin utilisateur, User need, Necesidad usuario, Classement, Filing, Clasificación, Conception système, System design, Concepción sistema, Déduction, Deduction, Deducción, Flexibilité, Flexibility, Flexibilidad, Fonction Shannon, Shannon function, Función Shannon, Incertitude, Uncertainty, Incertidumbre, Inférence, Inference, Inferencia, Intention, Intencíon, Modèle logique, Logic model, Modelo lógico, Orienté objet, Object oriented, Orientado objeto, Pertinence, Relevance, Pertinencia, Question documentaire, Query, Pregunta documental, Recherche documentaire, Document retrieval, Recuperación documental, Règle inférence, Inference rule, Regla inferencia, Réponse système, System response, Respuesta sistema, Représentation document, Document representation, Traitement question, Question processing
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Univ. Passau, Fak. Mathematik Informatik, Lehrstuhl dialogorientierte Systeme, 8390 Passau, Germany
ISSN:
0306-4573
Rights:
Copyright 1994 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3797891
Database:
PASCAL Archive

Weitere Informationen

Relevance of the retrieved documents to a query is in the sense of information retrieval a judgement of the user rather than the material implication in the sense of logic. In this paper we depart from deductive paradigm with object-oriented extensions, then relax the too strict modus ponens in the classic propositional logic by appropriate inference rules that would capture the relevance of information in the document to the information needed by the user. In such a framework, a document is relevant to a query if the latter can be deduced from the set of axioms associated with the document using inference rules. As various kinds of inference rules will be used in the deduction, we distinguish between logical, strict, and plausible rules. Answering a query in such a framework. Instead of suggesting a new logic model, we make use of the query answering machinery and object-oreinted database in this approach.