Construction of domain ontology utilizing formal concept analysis and social media analytics

Abstract

Semantic Web, deals with the meaning of information in a defined domain and Ontologies are the backbone of Semantic Web. Domain Ontologies are crucial source of information for knowledge-based system. Still, domain ontology development is a labor- intensive process and is highly dependent on developer's knowledge. In this work, a novel semiautomatic method is proposed to build an ontology on terrorism domain. Terrorism activities provide crucial information to enhance security system for any country worldwide. Social media data, namely, Twitter text data is extracted to attain latest information related to domain and next, concepts and relationships are identified and mapped using formal concept analysis. Several user-defined relationships are presented through fluent editor tool. Also, knowledge is extracted with the help of query-based system through a reasoner window of fluent editor. The developed domain ontology is published on web using ontology web language which can be utilized in other related application areas. The proposed work is significant as it develops a wide-coverage domain ontology for terrorism domain using a tool named Fluent Editor, in place of standard tool protégé and semantic information is extracted similar to query-based system with 100% accuracy.