Ontology Learning for
Chinese Information Organization and Knowledge Discovery in Ethnology and
Anthropology
Kong Jing
Institute of Ethnology & Anthropology,
Abstract:
This
paper presents an ontology learning architecture which reflects the interaction
between ontology learning and other application such as ontology-engineering
tools and information system. It extracts knowledge from information as well as
performs semantic annotation of information so that forms a cycle process of
interacting between information flow and knowledge flow. Based this
architecture, we developed a prototype system CHOL: an ontology learning system
for Chinese Information Organization and Knowledge Discovery. CHOL learns
domain ontology from Chinese scholarly literature. It supports to
semi-automatic domain ontology acquisition and dynamic maintenance, on the
other hand, supports to auto-indexing and auto-classification
of Chinese scholarly literature. CHOL has been applied in Ethnology and
Anthropology for Chinese Information Organization and Knowledge Discovery.
In
CHOL, we built a- Chinese domain ontology which includes 5 sub-ontologies:
Natural Language Ontology, Global Domain Ontology, Foundational Domain Ontology,
Specific Domain Ontology and Domain Ontology Instances. This domain ontology
focused on the reuse, function, completeness and consistency. Here, we
used Hownet to build Natural Language Ontology and used Chinese Classification Thesaurus to build Global Domain Ontology.
We proposed a pursuing high precision multi-strategy method of extracting
Chinese domain concepts and a hybrid several similarity measures method of
domain term identifying which utilizes Global Domain Ontology to compute the similarity
measures between a term and a specific domain. We also proposed a method for acquisition
of concepts relationship based neural networks in CHOL. This method can learn multiple
concepts of a term in different subjects and concept relationships for each
concept. These methods we proposed had been proved to be feasible and
effective.
Keyword: ontology learning
domain ontology automatic
ontology acquisition
concepts extraction
The Author: Kong
Jing, Female, 1969. Research interests include information system, information
retrieval and knowledge discovery in data and text. E_mail:kongjing@cass.org.cn