Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
WordNet: a lexical database for English
Communications of the ACM
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Automatic Detection of Thesaurus relations for Information Retrieval Applications
Foundations of Computer Science: Potential - Theory - Cognition, to Wilfried Brauer on the occasion of his sixtieth birthday
Ontology Construction for Information Selection
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Web Data Cleansing and Preparation for Ontology Extraction Using WordNet
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
Learning ontologies from natural language texts
International Journal of Human-Computer Studies
Building and maintaining ontologies: a set of algorithms
Data & Knowledge Engineering - NLDB2002
Overview and analysis of methodologies for building ontologies
The Knowledge Engineering Review
An overview of methods and tools for ontology learning from texts
The Knowledge Engineering Review
Towards Representing FCA-based Ontologies in Semantic Web Rule Language
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Resource Discovery in a European Spatial Data Infrastructure
IEEE Transactions on Knowledge and Data Engineering
GOHSE: Ontology driven linking of biology resources
Web Semantics: Science, Services and Agents on the World Wide Web
Automated ontology construction for unstructured text documents
Data & Knowledge Engineering
Expert Systems with Applications: An International Journal
Ontology Learning by Clustering Based on Fuzzy Formal Concept Analysis
COMPSAC '07 Proceedings of the 31st Annual International Computer Software and Applications Conference - Volume 01
TextOntoEx: Automatic ontology construction from natural English text
Expert Systems with Applications: An International Journal
Learning non-taxonomic relationships from web documents for domain ontology construction
Data & Knowledge Engineering
A software engineering approach to ontology building
Information Systems
Learning domain ontologies for semantic Web service descriptions
Web Semantics: Science, Services and Agents on the World Wide Web
Construction and maintenance of a fuzzy temporal ontology from news stories
International Journal of Metadata, Semantics and Ontologies
CFinder: An intelligent key concept finder from text for ontology development
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
An ontology is a representation model which defines domain knowledge with explicit specifications that feature interoperability between human and machine, thereby solving the problems of ambiguity and vagueness in knowledge sharing and reuse. Ontology construction is a lengthy, costly and controversial process. Hence, many studies in automatic ontology construction have emerged. In the processes of ontology construction, relations between concepts and the ways concepts are organized by their relations determine the ontology structure, which in turn affects the accuracy of domain knowledge. Consequently, concept relations exploration is the most important process of ontology construction. This study proposes a concept relation exploration approach that combines the characteristics of middle-out and top-down approaches in a process that resembles snowflakes crystallization. Based on the crystallizing concept exploration approach, this study implements an ontology construction mechanism that can automatically mine domain concepts out of domain document, determine relations between concept, and construct the domain ontology accordingly, thereby reducing cost and burden that would be incurred in a manual construction process.