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ARCH: incorporating usability into a data integration framework

Published:14 December 2009Publication History

ABSTRACT

Many applications have been developed in the area of semantic data integration. However little or no usability practices are in the place to make such applications useful. This paper presents our experiences in building ARCH Data Integration Framework. ARCH combines usability issues with semantic web technologies in order to provide an efficient and user-friendly mapping process. The conducted usability evaluations on ARCH have shown that this tool efficiently supports users dealing with data matching.

References

  1. Abels S., Haak L., Hahn A. 2005. Identification of Common Methods used for Ontology Integration Tasks. In Proceedings of the First International ACM Workshop on Interoperability of Heterogeneous Information Systems (IHIS'05). ACM. Bremen, Germany Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bernstein P., Melnik S., Churchill J. E. 2006. Incremental Schema Matching. In "VLDB 2006", Seoul, Korea. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bernstein P., Melnik S., Petropoulos M., Quix C. 2004. Industrial-Strength Schema Matching. SIGMOD Records 33(4) 38--43. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Dao T. N., Simpson Troy. (n/a). Measuring Similarity between Sentences. DOI=http://opensvn.csie.org/WordNetDotNet/trunk/Projects/Thanh/Paper/WordNetDotNet_Semantic_Similarity.pdfGoogle ScholarGoogle Scholar
  5. Do H., Rahm E. 2002. COMA - A System for Flexible Combination of Schema Matching Approaches. In "Proc. 28th Int. Conference on Very Large Databases (VLDB)", Hong Kong, China. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Doan A., Halevy A. 2005. Semantic Integration Research in the Database Community: A Brief Survey. AI Magazine 26(1) 83--94. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Doan A., Madhavan J., Domingos P. Ontology Matching: A Machine Learning Approach. In Staab S. and Struder R. (Editors). 2003. Handbook of Ontologies in Information Systems. Springer VerlagGoogle ScholarGoogle Scholar
  8. Euzenat J. Ehrig M., Jentzsch A., Mochol M., Shvaiko P. 2007. Case-based Recommendation of Matching Tools and Techniques. Technical Report, NoE Knowledge Web project deliverable.Google ScholarGoogle Scholar
  9. Fraunhoferinstitut. 2008. Fit für Usability (online). DOI=http://www.fit-fuer-usability.de/1x1/knigge/einfuehrung.html {Accessed on 2008-03-27}Google ScholarGoogle Scholar
  10. Holzinger A. 2005. Usability engineering methods for software developers. Communications of the ACM 48. pp. 71--74 Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Lewis J. R. 1995. IBM Computer System Usability Questionnaire: Psychometric Evaluation and Instructions for Use. International Journal of Human-Computer Interaction, 7:1, p 57--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Miller G. A., Beckwith R., Fellbaum C. 1990. Introduction to WordNet: An On-Line Lexical Database. International Journal of Lexicography 3 235--244.Google ScholarGoogle ScholarCross RefCross Ref
  13. Nielsen, J.: Usability 101: Introduction to Usability (online). DOI=http://www.useit.com/alertbox/20030825.html {Accessed on 2009-06-20}Google ScholarGoogle Scholar
  14. Nielsen, J. 1993. Usability Engineering. Academic Press Limited, New York.Google ScholarGoogle Scholar
  15. Noy N. F., Musen M. A. Anchor-PROMPT: Using Non-Local Context for Semantic Matching. In Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-2001). Seattle, 2001Google ScholarGoogle Scholar
  16. Noy N. 2004. Semantic integration: A Survey of Ontology-based Approaches. SIGMOD Record 33(4) 65--70. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Popa L., Hernandez M., Velegrakis Y., Miller R., Naumann F., Ho H. Mapping XML and Relational Schemas with Clio. In Proceedings of the 18th International Conference on Data Engineering (ICDE'02). San Jose, 2002Google ScholarGoogle Scholar
  18. Rahm E., Bernstein P. 2001. A Survey of Approaches to Automatic Schema Matching. Very Large Database Journal No. 10/4 334--350. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Robertson G. G., Czerwinski M., Churchill J. E. 2005. Visualization of Mappings between Schemas. In Conference on Human Factors in Computing Systems. ACM New York. Portland, Oregon, USA Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Sure Y., Studer R. 2005. Semantic Web Technologies for Digital Libraries. Library Management 26 190--195.Google ScholarGoogle Scholar

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        • Published in

          cover image ACM Other conferences
          iiWAS '09: Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
          December 2009
          763 pages
          ISBN:9781605586601
          DOI:10.1145/1806338

          Copyright © 2009 ACM

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          Publication History

          • Published: 14 December 2009

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