@inproceedings{fe00ed79605145d38bb9353eae889e0d,
title = "Constructing an ontology based on terminology processing",
abstract = "An ontology consists of a set and definition of concepts that presents the characteristics of a given domain and relationship between the elements. This paper proposes a semiautomatic method to construct a domain ontology using the results of text analysis and applies it to a document retrieval system. An experiment domain used to construct an ontology was selected by the pharmacy field in which the types of ontology appeared in a document were analyzed. By using these results, a processing method of the terminologies, which are combined with some specific nouns of suffices, and uses the semantic relation to construct an ontology. In order to present usefulness for retrieving a document using the hierarchical relations in an ontology, this study compares a typical keyword based retrieval method with an ontology based retrieval method, which uses related information in an ontology for a related feedback. As a result, the latter shows the improvement of precision and recall.",
author = "Lim, \{Soo Yeon\} and Park, \{Seong Bae\} and Lee, \{Sang Jo\}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 ; Conference date: 14-09-2005 Through 16-09-2005",
year = "2005",
doi = "10.1007/11552413\_44",
language = "English",
isbn = "3540288945",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "304--310",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings",
address = "Germany",
}