The backbone of the semantic web is ontology, dealing with the context of details associated
with a specific domain. Domain ontology (DO) is an important source of information for …

The challenge of managing and extracting useful knowledge from social media data sources
has attracted much attention from academics and industry. To address this challenge …

Abstract Domain ontologies play an important role in supporting knowledge‐based
applications in the Semantic Web. To facilitate the building of ontologies, text mining …

This paper describes a system to semi-automatically extend and refine ontologies by mining
textual data from the Web sites of international online media. Expanding a seed ontology …

Following the advent of the Internet technology and the rapid growth of its applications,
users have spent long periods of time browsing through the ocean of information found in …

In the current literature of knowledge management and artificial intelligence, several
different approaches to the problem have been carried out of developing domain ontologies …

In this paper we present the design, implementation and evaluation of SOBA, a system for
ontology-based information extraction from heterogeneous data resources, including plain …

Ontology is defined as partial specification of conceptual vocabulary used for formulating
knowledge-level theories about a domain of discourse. Ontology is applied in domains like …

Abstract The Data Mining OPtimization Ontology (DMOP) has been developed to support
informed decision-making at various choice points of the data mining process. The ontology …

The world is witnessing an increasing use of IoT-based devices to collect sensor data in
order to perceive the real world and generate abstractions. This data is highly …