Natural language dependencies for ontological relation extraction

Natural Language Processing techniques play an essential role in extraction of necessary information for ontology construction from unstructured text. Identifying syntactic constituents and their dependencies in a sentence, boost the information extraction from natural language text. Main ingredients required for ontology construction are required to be extracted from text in the form of entities and relations between them. Language dependency constructs that express the binary dependencies of the lexical terms in a sentence can be considered as good indicators in identifying binary relationships existing between entities. In this paper we describe that how the typed dependencies produced by a natural language parser are used by a multi agent system to generate rules for relation extraction between two identified entities. The typed dependencies produced by parsing are processed to eliminate unnecessary dependencies and make them more appropriate to be used in rule learning for relation extraction. All the relations derived are expressed as predicate expressions of two entities. We evaluate our agent system by applying it on number of wikipedia web pages from the domain of birds.