Handling Partial Matches in Semistructured Data with Cooperative Query Answering Techniques

Author

Antonio Badia
Sanjay Kumar Madria, Missouri University of Science and Technology

Abstract

We describe for the first time in the literature the application of Cooperative Query Answering techniques to semistructured data. In particular, we develop methods to deal with partial matching of path expressions when querying data in a graph-based model. We identify different types of mismatch and offer heuristics to handle them. We also describe a preliminary implementation. © Springer-Verlag Berlin Heidelberg 2002.

Recommended Citation

A. Badia and S. K. Madria, "Handling Partial Matches in Semistructured Data with Cooperative Query Answering Techniques," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2519 LNCS, pp. 449 - 467, Springer, Jan 2002.

The definitive version is available at https://doi.org/10.1007/3-540-36124-3_26

Department(s)

Computer Science

International Standard Book Number (ISBN)

978-354000106-5

International Standard Serial Number (ISSN)

1611-3349; 0302-9743

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Jan 2002