Storing Multifaceted Ontologies with Natural Language Addressing

Abstract

Multifaceted ontology definition is suggested and an approach to storing multifaceted ontologies in the ontology-driven system for monitoring processes based on Internet sources is presented. This system can be adapted for events analysis and global processes monitoring, for social network analysis and etc. Ontology-driven architecture intends using an ontology. Ontologies are used to search data in the Internet sources with information retrieval tools and to structuring information according to the data structure defined by users. The multifaceted ontology combines different types of ontologies: the sources ontology defines information sources used by experts for analysis; the domain ontologies describes research interests of the experts needing analysis (they describe ontology of problem including domain ontologies); data formats are described with structures ontology used for structuring data. Multifaceted ontology is the information kernel of the analysis system. Researchers need tools for effective storing and processing information. An approach based on natural language addressing is proposed as perspective method of multifaceted ontology storing. Data structures and algorithms are described and discussed.