Authors:
Arif Yilmaz
;
Hilal Tarakçı
and
Serdar Arslan
Affiliation:
TUBITAK Space Technologies Research Institute, Turkey
Keyword(s):
Semantics, Forensic Science, Ballistics, Ontology Development.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
Domain Analysis and Modeling
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Ontology Sharing and Reuse
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
Forensic ballistics is the domain that analyzes the firearm usage in crimes, thus assisting in exposing connections between crime scenes. While concept of the ballistics domain is strict and well defined; to the best of our knowledge, there is no standard representation of knowledge on this domain open to the public use. In our study, we represent an open ballistics domain ontology in a ballistics identification system and our aim is to acquire an effective reasoning capability. The proposed ontology, models the real world relationships between the concepts, thus forming a very close semantic representation of the ballistics domain. Therefore, in our ontology, reasoning capability is effectively used in order to set up relationships between concepts automatically.