A semi-automatic ontology acquisition method for the semantic web

Authors:
Man Li;Xiaoyong Du;Shan Wang
Affiliations:
School of Information, Renmin University of China, Beijing, China;School of Information, Renmin University of China, Beijing, China;School of Information, Renmin University of China, Beijing, China
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

Citing 9
Cited 4

Third normal form made easy

ACM SIGMOD Record
Database design: the semantic modeling approach

Database design: the semantic modeling approach
Reverse engineering of relational databases: extraction of an EER model from a relational database

Data & Knowledge Engineering
A relational model of data for large shared data banks

Communications of the ACM
Migrating data-intensive web sites into the Semantic Web

Proceedings of the 2002 ACM symposium on Applied computing
Ontology Learning for the Semantic Web

Ontology Learning for the Semantic Web
Object-Oriented Views of Relational Databases Incorporating Behaviour

Proceedings of the 4th International Conference on Database Systems for Advanced Applications (DASFAA)
Achievements of Relational Database Schema Design Theory Revisited

Selected Papers from a Workshop on Semantics in Databases
Ontology construction for semantic web: a role-based collaborative development method

APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development

Triplify: light-weight linked data publication from relational databases

Proceedings of the 18th international conference on World wide web
LinkedGeoData: Adding a Spatial Dimension to the Web of Data

ISWC '09 Proceedings of the 8th International Semantic Web Conference
Bringing relational databases into the semantic web: a survey

Semantic Web
Bringing relational databases into the Semantic Web: A survey

Semantic Web - On real-time and ubiquitous social semantics

Quantified Score

Hi-index	0.00

Visualization

Abstract

The success of the Semantic Web strongly depends on the proliferation of ontologies, which requires fast and easy engineering of ontologies. The paper analyzes the semantic similarity between relational model and ontology, and proposes a semi-automatic ontology acquisition method(SOAM) based on data in relational database. SOAM tries to ensure the quality of constructed ontology and the automatic degree of acquiring process by balancing the cooperation between user contributions and machine learning. Because OWL is the latest ontology language standard recommended by W3C, the implementation of SOAM is given to acquire OWL ontology automatically as much as possible. Different from existing methods, the implementation method not only can acquire OWL ontology from relational database directly without demanding a middle model, but also can refine obtained ontology according to existing lexical knowledge repositories semi-automatically.