This paper defines a framework for ontology integration – Tree-structure Based Ontology Integration (TSBOI). Unlike other methodologies in the area, which mainly concentrate on attribute comparison, this methodology is designed to map objects of an ontology to a tree structure, restructure the tree, and rely on the tree structure to integrate ontologies through attribute comparison. The new methodology utilizes accurate matching and partial matching to group the matched objects to enhance the mapping accuracy. Once the tree structure is established, it can be reused to answer different queries. This significantly enhances its efficiency.
WimalasuriyaDCDouD. Ontology-based information extraction: an introduction and a survey of current approaches. J Inf Sci2010; 36: 306–23.
2.
ChoiNSongIHanH. A survey on ontology mapping. ACM SIGMOD Rec2006; 35: 34–41.
3.
NilesSPeaseA. Towards a standard upper ontology. Proceedings of the 2nd International Conference on Formal Ontology in Information Systems2005: 145–52.
4.
KalfoglouYSchorlemmerM. Ontology mapping: the state of the art. Knowl Eng Rev2003; 18: 1–31.
5.
NatalyaN F. Semantic integration: a survey of ontology-based approaches. ACM SIGMOD Rec2004; 33: 104–23.
6.
PhytilaCAn analysis of the SUMO and description in unified modelling language (unpublished, April2002).
7.
DoanAMadhavanJDomingosPHalevyA. Learning to map between ontologies on the semantic web. VLDB J2003special issue on the semantic web].
8.
DoanADomingosPHalevyA. Learning to match the schemas of data sources: a multistrategy approach. Mach Learn2003; 50: 279–301.
9.
HouJ. Using ontology semantics to support model mapping in model-driven software development. Proceedings of the Second International Workshop on Education Technology and Computer Science2010: 248–51.
10.
LiSHuHHuX. An ontology mapping method based on tree structure. Proceedings of the Second International Conference on Semantics, Knowledge and Grid2006: 87–93.
11.
Op’t LandMZwitzerHEnsinkPLebelQ. Towards a fast enterprise ontology based method for post merger integration. Proceedings of the 2009 ACM Symposium on Applied Computing2009: 245–52.
12.
LiJ. LOM: a lexicon-based ontology mapping tool. Proceedings of the International Conference of Performance Metrics for Intelligent Systems2004.
13.
SuX. Semantic enrichment for ontology mapping (PhD thesis, Dept of Computer and Information Science, Norwegian University of Science and Technology, 2004).
14.
HuangLFangWCuiZ. Ontology mapping model with uncertainty in semantic integration. Comput Eng Appl2009; 45: 140–4.
15.
StummeGMaedcheA. Ontology merging for federated ontologies on the semantic web. Proceedings of the International Workshop for Foundations of Models for Information Integration2001.
16.
NoyNMusenM. PROMPT: algorithm and tool for automated ontology merging and alignment. Proceedings of the 17th National Conference on Artificial Intelligence2000.
17.
NoyNFMusenMA. SMART: automated support for ontology merging and alignment. Proceedings of the Twelfth Banff Workshop on Knowledge Acquisition, Modelling, and Management1999.
18.
PapakonstantinouYVianuyV. DTD inference for views of XML data. Proceedings of the Nineteenth ACM SIGMOD–SIGACT–SIGART Symposium on Principles of Database Systems2000: 35–46.
19.
StuderRBenjaminsVRFenselD. Knowledge engineering: principles and methods. IEEE T Knowl Data Eng1998; 25: 161–99.
20.
AkbariIFathianM. A novel algorithm for ontology matching. J Inf Sci2010; 36: 324–34.
