Ontology Extraction and Semantic Ranking of Unambiguous Requirements

This paper describes a new method for ontology based standardization of concepts in a domain. In Requirements engineering, abstraction of the concepts and the entities in a domain is significant as most of the software fail due to incorrectly elicited requirements. In this paper, we introduce a framework for requirements engineering that applies Semantic Ranking and significant terms extraction in a domain. This work aims to identify and present concepts and their relationships as domain specific ontologies of particular significance. The framework is build to detect and eliminate ambiguities. Semantic Graph is constructed using semantic relatedness between two ontologies which is computed based on highest value path connecting any pair of the terms. Based on the nodes of the graph and their significance scores, both single as well as multi word terms can be extracted from the domain documents. A reference document of ontologies that will help requirement analyst to create SRS and will be useful in the design is created. (Subha R. ,Palaniswami S. Ontology Extraction and Semantic Ranking of Unambiguous Requirements. Life Sci J 2013;10(2):131-138).(ISSN: 1097-8135). http://www.lifesciencesite.com. 21