Survey on Techniques for Ontology Interoperability in Semantic Web

§ QIS College of Engineering & Technology

Send Message

To: Author

Survey on Techniques for Ontology Interoperability in Semantic Web

Article Fingerprint

ReserarchID

CSTNWS5F15A

Survey on Techniques for Ontology Interoperability in Semantic Web Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Reading Preferences
Font Size
Line Spacing
Background

References

31 Cites in Article
  1. 1. Anhai Doan,Pedro Domingos,Alon Halevy (2003). Learning to Match the Schemas of Data Sources: A Multi strategy Approach. Machine Learning, 50(3), 279-301.
  2. 2. Anhai Doan,Jayant Madhavan,Pedro Domingos,Alon Halevy (2003). Learning to map between ontologies on the semantic web. Proceedings of the eleventh international conference on World Wide Web - WWW '02
  3. 3. D Calvanese,De Giacomo,G Lenzerini,M (2001). A Framework for Ontology Integration. Proceedings of the 1 st International Semantic Web Working Symposium (SWWS), 303-317.
  4. 4. C Ghidini,F Giunchiglia (2004). A Semantics for Abstraction. Proceedings of ECAI, 343-347.
  5. 5. Dejing Dou,Drew Mcdermott,Peishen Qi (2005). Ontology Translation on the Semantic Web. Lecture Notes in Computer Science, 3360, 35-57.
  6. 6. D Mc Guinness,R Fikes (2000). The Chimaera Ontology Environment. Proceedings of the 17th National Conference on Artificial Intelligence (AAAI)
  7. 7. Domenico Beneventano,Sonia Bergamaschi (2003). Synthesizing an Integrated Ontology. IEEE Internet Computing
  8. 8. Ernesto Compatangelo,Helmut Meisel (2002). ConcepTool: Intelligent Support to the Management of Domain Knowledge. Lecture Notes in Computer Science, 81-88.
  9. 9. Erhard Rahm,Philip Bernstein (2001). A survey of approaches to automatic schema matching. The VLDB Journal, 10(4), 334-350.
  10. 10. Fausto Giunchiglia,Pavel Shvaiko,Mikalai Yatskevich (2005). Semantic Schema Matching. Lecture Notes in Computer Science, 347-365.
  11. 11. Gerd Stumme,Alexander Maedche (2001). FCA-Merge: Bottom-Up Merging of Ontologies. proceeding of the International Joint Conference on Artificial Intelligence IJCA101
  12. 12. H Chalupsky (2000). Hyperbolic Fibrations. Handbook of Finite Translation Planes, 471-482.
  13. 13. H Chalupsky (2000). 0ntomorph: A Translation System for Symbolic Knowledge. Principles of Knowledge Representation and Reasoning
  14. 14. Sofia Helena,Joao Pinto,Martins (2001). A Methodology for Ontology Integration. Proceedings of the International Conference on Knowledge Capture, 131-138.
  15. 15. J Euzenat,P Shvaiko (2007). Ontology Matching. Ontology Matching
  16. 16. J Euzenat,P Valtchev (2004). Similarity-Based Ontology Alignment in OWL-Lite. Proceedings of ECAI, 333-337.
  17. 17. John Li (2004). L0M: A Lexicon-based Ontology Mapping Tool. Proceedings of the Performance Metrics for Intelligent Systems (PerMIS. '04)
  18. 18. M Klein,D Fensel (2001). Ontology Versioning on the Semantic Web. Proceedings of SWWS, 75-91.
  19. 19. M Ehrig,J Euzenat (2004). State of the Art on Ontology Alignment. Knowledge Web Deliverable D, 2(2)
  20. 20. Marc Ehrig,Steffen Staab (2004). QOM – Quick Ontology Mapping. Lecture Notes in Computer Science, 683-697.
  21. 21. Natalya Noy,Mark Musen (2000). The PROMPT suite: interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59(6), 983-1024.
  22. 22. N Noy,M Musen (2001). Anchor-PROMPT: Using Non Local Context for Semantic Matching. Proceedings of the Workshop on Ontologies and Information Sharing at the International Joint Conference on Artificial Intelligence (IJCAI)
  23. 23. Natalya Noy,Mark Musen (2000). The PROMPT suite: interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59(6), 983-1024.
  24. 24. Natalya Noy,Mark Musen (2000). The PROMPT suite: interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59(6), 983-1024.
  25. 25. Nuno Silva,Joao Rocha (2000). Semantic Web complex ontology mapping. Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003), 82-88.
  26. 26. O Gotoh (1982). An Improved Algorithm for Matching Biological Sequences. Presented at Journal of Molecular Biology, 162, 705-708.
  27. 27. Prasenjit Mitra,Gio Wiederhold (2002). An Ontology-Composition Algebra. Handbook on Ontologies, 93-113.
  28. 28. P,J Euzenat (2005). A survey of schema based mapping approaches. Journal of Data Semantics, IV, 146-171.
  29. 29. Yannis Kalfoglou,Marco Schorlemmer (2003). IF-Map: An Ontology-Mapping Method Based on Information-Flow Theory. Lecture Notes in Computer Science, 98-127.
  30. 30. Yannis Kalfoglou,Bo Hu (2005). CROSI Mapping System (CMS) Results of the 2005 Ontology Alignment Contest. K-CAP Integrating Ontologies Workshop
  31. 31. Yannis Kalfoglou,Marco Schorelmmer (2003). Ontology Mapping: The State of the Art. the Knowledge Engineering Review, 18(1), 1-31.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

R.Lakshmi Tulasi. 2014. "Survey on Techniques for Ontology Interoperability in Semantic Web". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E2).

More Citation Formats

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-E Classification I.2.4
Version of record

v1.2

Issue date
June 1, 2014

Language
English
Order Article Reprint
Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 3.8K
Total Downloads: 285
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Survey on Techniques for Ontology Interoperability in Semantic Web

R.Lakshmi Tulasi
R.Lakshmi Tulasi QIS College of Engineering & Technology