Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

The explosive growth of textual data on the web coupled with the increase on demand for
ontologies to promote the semantic web, have made the automatic ontology construction …

The abundant volume of natural language text in the connected world, though having a
large content of knowledge, but it is becoming increasingly difficult to disseminate it by a …

The Semantic Web relies heavily on formal ontologies to structure data for comprehensive
and transportable machine understanding. Thus, the proliferation of ontologies factors …

Ontology is an effective conceptualism commonly used for the semantic Web. Fuzzy logic
can be incorporated to ontology to represent uncertainty information. Typically, fuzzy …

Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …

Our OntoLearn system is an infrastructure for automated ontology learning from domain text.
It is the only system, as far as we know, that uses natural language processing and machine …

Ontologies have become an important means for structuring information and information
systems and, hence, important in knowledge as well as in software engineering. However …

Ontology Learning greatly facilitates the construction of ontologies by the ontology engineer.
The notion of ontology learning that we propose here includes a number of complementary …

Ontologies have become an important means for structuring knowledge and building
knowledge-intensive systems. For this purpose, efforts have been made to facilitate the …