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Logical concept mapping and social media analytics relating to cyber criminal activities for ontology creation

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Abstract

The backbone of the semantic web is ontology, dealing with the context of details associated with a specific domain. Domain ontology (DO) is an important source of information for knowledge-based systems. Nonetheless, developing DO is a time-consuming procedure that is heavily reliant on the developer's expertise. Here, a novel semi-automated technique for creating Ontologies in the terrorism domain is suggested. Terrorism actions provide critical information that can be used to improve a country's security system. To obtain the most up-to-date knowledge of the domain, online social network (OSN) data, specifically Twitter text data, is retrieved, and then concepts and associated relationships are recognized and mapped through formal concept analysis (FCA). The fluent editor tool (FET) displays a number of user-defined associations. Knowledge is also extracted using a query-based approach and a reasoner window in the FET. The created DO is broadcast on the web using an ontology web language (OWL) that may be used in a variety of other applications. The suggested work is notable because it creates broad-coverage DO for the terrorist domain using a tool called Fluent Editor (FE) instead of the typical tool (protégé), and semantic information is retrieved with 100% correctness, similar to a query-based search system (QBS).

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  1. Computer and Communication Technology Department, University of Extremadura, Badajoz, Spain

    Romil Rawat

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  1. Romil Rawat
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Correspondence to Romil Rawat.

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Rawat, R. Logical concept mapping and social media analytics relating to cyber criminal activities for ontology creation. Int. j. inf. tecnol. 15, 893–903 (2023). https://doi.org/10.1007/s41870-022-00934-9

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  • DOI: https://doi.org/10.1007/s41870-022-00934-9

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