A Method Of Building Semantic Web Chinese Ontology Based On Rough Concept Lattice

Semantic Web ontology is a knowledge base to support the actual running of semantic Web, which formally defines the widely acknowledged knowledge and the relationships between knowledge in a domain. It is concretely expressed as the widely acknowledged concepts and the relationships between them in the domain. Concept lattice formally defined the concepts and the relationships between them. Although both the concept lattice and the ontology are knowledge bases, however, the former stands on mathematical rigorous feature, and the latter pursues the convenience of application. It is beneficial to build high-quality Semantic Web ontology that "practical domainâ†'concept latticeâ†'ontology" as the developing route.Most existing available ontologies are in English form, and there is no effective tool with integrated functions. The cognition to real world of human which is uncertain will certainly show fuzziness and roughness, and the rough concept is one of the basic forms of human cognition. Rough concept lattice is a knowledge base which is expressed as rough concepts and the relationships between them. Moreover the "practical domainâ†'rough concept latticeâ†'Chinese ontology" is applied to support the practical operation of the Semantic Web more closely to real-world, which is the research target and technical route of this paper. Formal context determines the complex degree of rough concept lattice, so this paper mainly researches formal context extracted from data source.First, extract formal context. This paper will take unstructured Chinese texts as the data source of formal context considering the practicality. To extract a concise formal context, the set of similar word set was proposed to reduce the redundancy caused by a single word.Second, reduce formal context. The reduction algorithm of formal context that corresponding to concept lattice is extended.Third, extract rough formal concepts. Rough formal concepts are extracted based on formal context reduced.Fourth, build rough concept lattice. Because the numbers of tuples of rough formal concept and formal concept are different, to achieve rough concept lattice building, the building algorithms of the concept lattice are researched and extended.Fifth, transform rough concept lattice forming semantic Web Chinese ontology. Based on the study of formal concept analysis applied to ontology building, rough concept lattice is processed to form the ontology prototype, and ontology description language is used to describe ontology, so as to transform rough concept lattice to semantic Web Chinese ontology.Finally, carry out example verification. The feasibility and practical value of the method of building semantic Web Chinese ontology based on rough concept lattice are verified by using 214 Chinese texts in traffic classes from Sogou Labs as the data source.