The success of machine represented web known as semantic web largely hinges on
ontologies. Ontology is a data modeling technique for structured data repository premised …

Emotion ontologies have been developed to capture affect, a concept that encompasses
discrete emotions and feelings, especially for research on sentiment analysis, which …

Cyber-physical systems (CPSs) in the manufacturing domain can be deployed to support
monitoring and analysis of production systems of a factory in order to improve, support, or …

Ontologies can represent technological enablers for knowledge elicitation and management
in different kinds of organizations, especially with the exponential growth of sources and …

In 2004 we published in this journal an article describing OntoLearn, one of the first systems
to automatically induce a taxonomy from documents and Web sites. Since then, OntoLearn …

A lightweight methodology for rapid ontology engineering Page 1 MARCH 2016 | VOL. 59 | NO.
3 | COMMUNICATIONS OF THE ACM 79 DOI:10.1145/2818359 UPON Lite focuses on users …

Currently, there is a considerable body of experience in building ontologies. Nevertheless,
knowledge acquisition using ontologies is still a research issue. The goal of this paper is to …

Novel approaches and tools have emerged to tackle the challenges of Big Data. Moreover,
the technology required for Big Data computing is develo** at a satisfactory rate due to …

Ontology is defined as an explicit specification of a shared conceptualization. Currently,
ontology is used in semantic web, information retrieval, artificial intelligence, information …

Advancements and new techniques in information technologies are making it possible to
manage, analyze and present large-scale environmental modeling results and spatial data …