Title :
Notice of Retraction
RDB-Based Approach to Domain Ontology for Contingency Plan
Author :
Liu Yuzhao ; Du Dongxia
Author_Institution :
Basic Exp. Center, CPLA, Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Domain ontology is playing an increasingly role in contingency plan digital. This study presents an automated construction method to extract domain ontology from Relational Database (RDB) for contingency plan. Additionally, database reverse engineering mechanism is applied to obtain logic model and conceptual model, as well as physical model was achieved through querying system tables. Moreover, transformation rules are defined by analyzing Relational Data Model (RDM)´s normal and abnormal relations. Thus, concepts, relations and their attributes can be generated from these data models for domain ontology. Through constructing domain ontology of coalmine contingency plan, the experiment shows that the proposed approach can effectively construct domain ontology from domain RDB, and it also can improve the construction rate and promote the contingency plan digital process.
Keywords :
data models; emergency services; ontologies (artificial intelligence); planning; relational databases; reverse engineering; RDB; automated construction method; coalmine; contingency plan digital process; database reverse engineering mechanism; domain ontology extraction; public emergency; relational data model; relational database; system tables; transformation rules; Chemicals; Data analysis; Data mining; Data models; Logic; OWL; Ontologies; Physics; Relational databases; Reverse engineering; OWL; contingency plan; domain ontology; relational database; reverse engineering;
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4244-5397-9
DOI :
10.1109/WKDD.2010.45