Abstract
We should consider semistructured data of which have a weak schema information in networked information world. To manage such semistructured data efficiently, this paper introduces a data model for semistructured data and operations for schema construction. We transform semistructured data into structured one by introducing schema construction methodology, compared to the former studies which are fully dependent on schemaless manipulations. For schema construction, we defined operations for building IS-A/IS-PART-OF relationships, collecting data objects to build a primitive class, and merging two data instances or classes.
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Abiteboul, S., Cluet, S., Milo, T.: Correspondence and Translation for Heterogeneous Data. Proceedings of the '97 ICDT, Delphi, Greece (1997) 352–363
Banerjee, J., Kim, W., Kim, H., Korth, H.: Semantics and Implementation of Schema Evolution in Object-Oriented Databases. Proceedings of the '87 ACM SIGMOD, San Francisco, CA (1987) 311–322
Buneman, P., Davidson, S., Hillerbrand, G., Suciu, D.: A Query Language and Optimization Techniques for Unstructured Data. Proceedings of the '96 ACM SIGMOD, Montreal, Canada (1996) 505–516
Bowman, C., Danzig, P., Manber, U., Schwartz, M.: Scalable Internet Resource Discovery: Research Problems and Approaches. Communications of the ACM. 37(8) (1994) 98–107
Bowman, C., Danzig, P., Hardy, D., Manber, U., Schwartz, M.: The Harvest Information Discovery and Access System. Proceedings of the Second International World Wide Web Conference, Chicago, Illinois (1994) 763–771
Tsichritzis, D., ed.: Object Management. Centre Universitaire d'Informatique, University of Geneva (1990)
Chawathe, S., Garcia-Molina, H., Hammer, J., Ireland, K.: The TSIMMIS Project: Integration of Heterogeneous Information Sources. Proceedings of IPSJ Conference, Tokyo, Japan (1994)
Bancilhon, F., Delobel, C., Kanellakis, P. eds.: Building an Object-Orient System: The Story of 02. Morgan Kaufmann, San Mateo, CA (1992)
Nestorov, S., Abiteboul, S., Motwani, R.: Inferring Structure in Semistructured Data. Proceedings of the Workshop for the Management of Semistructured Data (in Conjunction with '97 ACM PODS/SIGMOD), Tucson, Arizona (1997) 42–48
Ossher, H., Kaplan, M., Harrison, W., Katz, A., Kruskal, V.: Subject-Oriented Composition Rules. Proceedings of the OOPSLA '95, Austin, Texas (1995) 235–250
Papakonstantinou, Y., Garcia-Molina, H., Widom, J.: Object Exchange Across Heterogeneous Information Sources. Proceedings of the 11th IEEE International Conference on Data Engineering, Taipei, Taiwan (1995) 251–260
Quass, D., Rajaraman, A., Ullman, J., Widom, J.: Querying Semistructured Heterogeneous Information. Proceedings of 4th International Conference on Deductive and Object-Oriented Databases, Singapore (1995) 319–344
Seo, D., Lee, D., Lee, K., Lee, J.: Discovery of Schema Information from a Forest of Selectively Labeled Ordered Trees. Proceedings of the Workshop for the Management of Semistructured Data (in Conjunction with '97 ACM PODS/SIGMOD), Tucson, Arizona (1997) 54–59
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© 1997 Springer-Verlag Berlin Heidelberg
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Seo, DY., Lee, DH., Moon, KS., Chang, J., Lee, JY., Han, CY. (1997). Schemaless representation of semistructured data and schema construction. In: Hameurlain, A., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1997. Lecture Notes in Computer Science, vol 1308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022048
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DOI: https://doi.org/10.1007/BFb0022048
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