Abstract
Ontologies define hierarchies of classes and attributes; they are meta-data: data about data. In the “traditional approach” to ontology engineering, experts add new data by carefully analyzing others’ ontologies and fitting their new concepts into the existing hierarchy. In the emerging “Semantic Web approach”, ordinary users may not look at anyone’s ontology before creating theirs – instead, they may simply define a new local schema from scratch that addresses their immediate needs, without worrying if and how their data may some day integrate with others’ data. This paper describes WebScripter, a tool for translating between the countless mini-ontologies that the “Semantic Web approach” yields. In our approach, ordinary users graphically align data from multiple sources in a simple spreadsheet-like view without having to know anything about ontologies. The resulting web of equivalency statements is then mined by WebScripter to help users find related ontologies and data, and to automatically align the related data with their own.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
http://www.isi.edu/divisions/div2/ Click on People
Arens, Y., Knoblock, C., Shen, W.-M.: Query reformulation for dynamic information integration. Intelligent Information Systems 6(2–3), 99–130 (1996)
Conhaim, W.W.: Blogging – what is it? (May 2002), http://www.infotoday.com/LU/may02/conhaim.htm
Do, H., Rahm, E.: Coma – a system for flexible combination of schema matching approaches. In: VLDB (2002)
Doan, A., Domingos, P., Halevy, A.Y.: Reconciling schemas of disparate data sources: A machine-learning approach. In: SIGMOD Conference (2001)
Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to map ontologies on the semantic web. In: The Eleventh International World Wide Web Conference (2002)
Garcia-Molina, H., Papakonstantinou, Y., Quass, D., Rajaraman, A., Sagiv, Y., Ullman, J., Vassalos, V., Widom, J.: The TSIMMIS approach to mediation: data models and languages. Intelligent Information Systems 8(2), 117–132 (1997)
Haustein, S., Pleumann, J.: Easing participation in the semantic web. In: WWW 2002 Semantic Web Workshop, Honolulu, Hawaii, May 7 (2002)
Hovy, E.: Using an ontology to simplify data access. Communications of the ACM 46(1), 47–49 (2003)
Levy, A., Srivastava, D., Kirk, T.: Data model and query evaluation in global information systems. Intelligent Information Systems 5(2), 121–143 (1995)
Lopez, J., Szekely, P.: Web page adaptation for universal access. In: UAHCI 2001 Conference on Universal Access in Human Computer Interaction, New Orleans, pp. 690–694. Lawrence Erlbaum Associates, Mahwah (2001)
Madhavan, J., Bernstein, P.A., Rahm, E.: Generic schema matching with cupid. The VLDB Journal, 49–58 (2001)
McBride, B.: Jena: Implementing the rdf model and syntax specification. Technical report, Hewlett-Packard (2000), http://www-uk.hpl.hp.com/people/bwm/papers/20001221-paper/
Mena, E., Illarramendi, A., Kashyap, V., Sheth, A.: OBSERVER: an approach for query processing in global information systems based on interoperation across pre-existing ontologies. Distributed and Parallel Databases 8(2), 223–271 (2000)
Mitra, P., Wiederhold, G.: An algebra for semantic interoperability of information sources. In: 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering, Bethesda, MD, USA, November 4–6, pp. 174–182 (2001)
Noy, N.F., Musen, M.A.: PROMPT: Algorithm and tool for automated ontology merging and alignment. In: 17th National Conference on AI (2000)
Rahm, E., Bernstein, P.: On matching schemas automatically. Technical report, Microsoft Research, Redmon, WA (2001) MSR-TR-2001-17
Wiederhold, G.: Interoperation, mediation, and ontologies. In: International Symposium on Fifth Generation Computer Systems, Workshop on Heterogeneous Cooperative Knowledge-Bases, ICOT, Tokyo, Japan, vol. W3, pp. 33–48 (December 1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yan, B., Frank, M., Szekely, P., Neches, R., Lopez, J. (2003). WebScripter: Grass-Roots Ontology Alignment via End-User Report Creation. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds) The Semantic Web - ISWC 2003. ISWC 2003. Lecture Notes in Computer Science, vol 2870. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39718-2_43
Download citation
DOI: https://doi.org/10.1007/978-3-540-39718-2_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20362-9
Online ISBN: 978-3-540-39718-2
eBook Packages: Springer Book Archive