Domain Ontology Construction using Formal Concept and Relational Concept Analysis

Abstract

Domain ontology construction is an important task in knowledge management applications. Knowledge representation in appropriate form is mandate requirement using which extraction of functional facts and applying them in various business operations is feasible. Semantic web technologies are boon to the technical community that develops applications based on knowledge management. Ontology is the mean by which knowledge can be captured and queried in well-defined manner. Developing domain ontologies and investigation of domain knowledge from huge data set/corpus is the tedious task. Formal Conceptual Analysis (FCA) and Relational Concept Analysis(RCA) are data analysis methods that can be applied to domain ontology construction and information retrieval. The concept lattices generated are used for domain ontology construction. We proposed a semi-automated methodology for generating concept lattices based on FCA and RCA techniques for Tree data set. Data about the for various trees found in the world are taken into consideration and their attributes are collected from Internet. We obtain concept lattices and association rules from FCA. Modeling based on RCA has been carried out and resultant concept lattices are generated.