Virtual Community of Practice Ontocop

Abstract

Information Science (IS) is an ambiguous field as its boundaries overlap with other domains such as Archive Science, Library Science and Computing Science which requires defined clear definition. This study creates a systematic and comprehensive ontology targeted to explore IS boundaries and foundations. This paper uses Mereotopolgy theory to describe classes, instances and their relations. The classes are created based on taxonomy of IS to create an asserted model of Information Science Ontology (ISO) that can be as a skeletal foundation for knowledge base. The main classes are Actors, Method, Practice, Studies, Mediate, Kinds, Domains, Resources, Legislation, Philosophy & Theories, Societal, Time, and Space. The design is based on Methontology to create ISO from scratch. Its framework facilitates the construction of ontology at the knowledge levels. It is found that identifying the IS boundaries through implementation ontology workflow is encoded using Protégé and Web Ontology Language (OWL) for formalizing and representation of the ISO. ISO is an effective way to represent knowledge and overcome semantic heterogeneity, ISO is a fundamental integration between semantic that realizes the interoperability information of the domain.

A Hybrid Failure Diagnosis and Prediction using Natural Language-based Process Map and Rule-based Expert System

“…Researches for extracting information, including specific terminology, objects, and concepts using machine learning, rule base, dictionary and corpus are, having been performed continuously, and among them there are researchers which especially interested in extracting entities, a relationship between entities, and occurring events from the medical documents and newspapers [6,10,11,14]. However, such researches are restricted to simply extract the information from the unstructured knowledge written in natural language.…”