IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

ODIL: Ontology-Based Document Interrogation Language

ODIL: Ontology-Based Document Interrogation Language
View Free PDF
Author(s): Soraya Abad-Mota (Universidad Simon Bolivar, Venezuela) and Paul A. Helman (University of New Mexico, USA)
Copyright: 2004
Pages: 4
Source title: Innovations Through Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-261-9.ch133
ISBN13: 9781616921255
EISBN13: 9781466665347

Abstract

The context for this research is an information processing scenario with data from different sources available on the web. We are mostly concerned with textual documents in any of their three possible forms: structured (pieces of text explicitly tagged), semi-structured (pieces of text with some implicit structure, which may be given by lexicographic clues contained in the text), and free (neither semi-structured nor structured). It is important to note that our main interest is in text sources and not semi-structured data, as defined in the semantic web literature ([1], [2], and [3]). Our architecture is applicable to semistructured data, like the ones found in html or xml sources, but our experiments are on semi-structured text, as defined above.

Body Bottom