Ontology is one of the most popular representation model used for knowledge
representation, sharing and reusing. In light of the importance of ontology, different …

Extracting and Grounding Contextualized Sentiment Lexicons Page 1 March/april 2013
1541-1672/13/$31.00 © 2013 IEEE 39 Published by the IEEE Computer Society …

The explosive data growth in smart city is making domain big data a hot topic for knowledge
extraction. Non-taxonomic relations refer to any relations between concept pairs except the …

We extend the mechanism of logical generalization toward syntactic parse trees and attempt
to detect semantic signals unobservable in the level of keywords. Generalization from a …

The term" ontology" comes from the field of philosophy that is concerned with the study of
being or existence. In general computer science defines ontology as an" explicit …

This paper proposes a framework to automatically construct lightweight ontology from a
corpus of Chinese domain Web documents. A hybrid-based method was used for domain …

Ontology learning techniques are based on extensive basic knowledge, from unstructured
data to structured data. Creating an ontology manually is undoubtedly a time consuming …

The conceptualization of knowledge required for an efficient processing of textual data is
usually represented as ontologies. Depending on the knowledge domain and tasks, different …

Novel social media collaboration platforms, such as games with a purpose and mechanised
labour marketplaces, are increasingly used for enlisting large populations of non-experts in …

Although ontologies are central to the Semantic Web, current ontology learning methods
primarily make use of a single evidence source and are agnostic in their internal …