Authors:
Witold Abramowicz
and
Andrzej Bassara
Affiliation:
Poznan University of Economics, Poland
Keyword(s):
Information Retrieval, Temoral Information Retrieval, Temporal Expressions, Indexing, Temporal Indexing.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Web Information Systems and Technologies
Abstract:
Modern information retrieval models are not capable of resolving queries containing temporal criteria. One is not able to search for documents which content relates to certain time (for instance, find all documents related to the third quarter of the last year“). This limitation is mainly due to syntactic nature of modern information retrieval models, which perform query-document matching based on syntactic or simplified semantic similarity measures. In this article, we are focusing on the problem of creating document indexes, which represent time to which document contents relate, and which in turn allow for searching documents using temporal criteria.