Ontology‐driven Semantic Search for Requirement Engineering

Abstract

Abstract. Requirement elicitation is a challenge in the Subsea Oil extraction industry due to the short project award and execution times that do not allow the complete compilation of a requirement database from the contract documents and appendixes. In this paper, a semantic approach to the automation of relevant inferences involved in the Requirement Analysis (RA) stages is proposed. An ontological model is here proposed to supporting the enrichment of the involved texts along a number of semantic assumptions, aiming to provide a rich explanatory description of the targeted phenomena These general types are used to enable the semantic annotation of texts and sentences within the documentation, i.e. conceptual information useful to characterize design choices (as in specification documents), requirements (design documents) or product descriptions (catalogues). A Machine learning approach is then discussed as a robust and effective solution to annotated texts according to the ontological model.