جستجوی مقالات مرتبط با کلیدواژه « Ontology Construction » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The current research aims to evaluate and analyze the widely used ontology production software in representing concepts to select the most appropriate software.

This research was conducted in terms of applied purpose with a quantitative approach. The research method was evaluative and descriptive. The statistical population consists of five ontology production software including Apollo, Onto Studio, Protégé, Swoop, and TopBraid Composer Free Edition. In this research, due to the lack of a suitable evaluation list in the field of the research topic, by studying the resources about ontology software and guides, an appropriate evaluation tool was prepared. The data collection tool was a checklist whose formal validity was confirmed by information science experts. This list is divided into seven sections: important components of ontology software, input format component, language representation component, Software architecture and structure criteria with sub-indicators of components of interactivity, stability, availability, ability to be installed on a variety of platforms, the basic language of the software, and the component of interaction and interaction with the software related ontology and ontology storage format. Descriptive statistical techniques such as weight average and percentage were used to analyze the data.

The results of the research findings showed that Protégé with 177 points out of the total points in terms of components studied in this research in the first place and Onto Studio software with points 126 of the total points is in the next rank. Finally, Top Braid Composer Free Edition software is in third place in terms of the components studied in this research, with 87 points out of the total. In examining the interoperability component of ontology software, two software includes, Protégé 5.2.0 and Onto Studio had interaction with other software with 41.66%, which is one of the strengths of this software. The Apollo and Swoop software do not interact with any of the different software and it can be considered one of their weak points of them.

This study was able to show some of the strengths and weaknesses of ontology software based on the evaluation of the studied components of ontology software. Andwhat is the status of the studied software in terms of its relationship with other software in the field of ontology and how is their interoperability? Also, the research results will help researchers in this field select the most appropriate ontology software to produce and represent concepts.

The aim of this study was to study the theoretical refinement of ontologies as a retrieval tool to examine their intellectual foundations. To this end, firstly the definitions of ontologies were extracted and their intellectual origins were discussed. Secondly, the intellectual foundations of ontologies in the technical qualities of ontologies were investigated. Then, these foundations were sought in the Quine philosophy.
The documentary research method was used for the disquisition of intellectual foundations for the definitions and technical qualities of ontologies. Conceptual analysis was used as an approach for identifying these foundations in Quine philosophy.
Findings: This study showed that one of the most important foundations of ontologies is “Ontological Commitment” that was first introduced in Quine philosophy. Ontologies have commitments only to the entities that could be represented. Thus, being or not being of entities in ontologies is contingent to the capability of representation and not to their real existence in the world. Likewise, we found that with regard to Quine philosophy and its infiltration in theoretical and technical foundations of ontologies, relations to this tool are extensional but not intentional like relations in thesauruses or classification schemes.

The aim of this research is to present the methodology for designing and constructing ontologies by reviewing approaches, tools and languages for ontology design. The results of this study were implemented in the design of an ontology named Asfaont in the domain of Indexing in LIS. By reviewing approaches, methods and languages, this paper explains the methodology of designing the Asfaont, its abilities and capabilities for representing and retrieving knowledge. The Asfaont is a reengineering of Asfa thesaurus.