Search

In recent years the Semantic Web community has been very active and productive in this research field. One of its main purposes is to provide a meaningful representation of machine readable data over the Web. Due to dynamic development of new technologies and an increasing amount of data available on the Web the greater role is assigned to efficient data collection, analysis and processing. The users increasingly expect search engines to understand natural language and perceive the intent behind the words they type in, and search engine algorithms are rising to this challenge. In this research area a great amount of work is dedicated to improving ontology engineering. Furthermore, a process of ontology construction for frequently changing domains is a time-consuming and very often requires an expert's participation during this process. This paper presents the problem of automatic ontology construction, especially including mining based approaches. A choice of a proper mining approach heavily depends on a type of input source and offered functionalities. A tool supporting mining based approach selection to automatic ontology construction is proposed. It may help users in a proper selection of a relevant mining based approach to automatic ontology construction, and provides a knowledge systematization in this area. Moreover, this part of presented work is a part of more complex procedure to automatic ontology construction. Due to limited space of this paper and a complexity of this problem only this part of work is presented. [ABSTRACT FROM AUTHOR]