Onto Collab: Strategic review oriented collaborative knowledge modeling using ontologies

Abstract

Abstract-Modeling efficient knowledge bases for improving the semantic property of the World Wide Web is mandatory for promoting innovations and developments in World Wide Web. There is a need for efficient and organized modeling of the knowledge bases. In this paper, a strategy Onto Collab is proposed for construction of knowledge bases using ontology modeling. Ontologies are visualized as the basic building blocks of the knowledge in the web. The cognitive bridge between the human conceptual understanding of real world data and the processable data by computing systems is represented by Ontologies. A domain is visualized as a collection of similar ontologies. A review based strategy is proposed over a secure messaging system to author ontologies and a platform for retracing the domain ontologies as individuals and as a team is proposed. Evaluations for ontologies constructed pertaining to a domain for non-wiki knowledge bases is carried out.

Retracted: QGMS: A query growth model for personalization and diversification of semantic search based on differential ontology semantics using artificial intelligence

“…The reason for employing HermiT is because it efficiently reasons the relationships in OWL ontologies as it is based on the hypertableau calculus. The ontologies were automatically and semi-automatically modeled using OntoCollab, 38 and for automatic modeling, customized JAVA crawlers were used to bring in lateral metadata form index servers, and also several keywords and Wikipedia based relationships were used to harvest knowledge and model them as a proper domain ontology. However, several homonymous and synonymous ontologies were also modeled using Protégé.…”

“…All the ontologies were used in .owl or the ontology web language (OWL) format. The ontologies which were reasoned were transformed into its equivalent RDF form using OntoCollab 38 . Standard knowledge bases namely the YAGO and the NELL were integrated into the environment using customized APIs in JAVA.…”

“…The elements in the endowed ontologies are further grown by populating more relevant entities by matching instances from the NELL knowledge base. The endowed ontologies are subject to axiomatization based on implicit semantic rules and their DLs are preserved using OntoCollab 38 …”

“…The ontologies which were reasoned were transformed into its equivalent RDF form using OntoCollab. 38 Standard knowledge R e t r a c t e d bases namely the YAGO and the NELL were integrated into the environment using customized APIs in JAVA. The Standford CoreNLP was used to carry out preprocessing and all the other NLP tasks.…”

A Query Relevant Context Driven Ontology Recommendation System Incorporating Semantics Preservation and Semantic Ontology Matching

“…To suit the domains, the available ontologies were enhanced by modeling many individuals to them. Also, custom authored ontologies were modeled using Protégé and OntoCollab [25]. The existing ontologies were made more complex by associating many scenarios to it and adding relative concepts and their individuals.…”