Abstract
This paper proposes a new and efficient method to represent, store and retrieve structured documents from object-relational databases. Its main contribution consists of a codification scheme for document structures that assigns codes to documents as an additional attribute. Thus, retrieval conditions on the structure of documents can be evaluated by applying these codes, avoiding traversing object references. The paper also gives some clues to the construction of a repository of structured documents over objectrelational tables, so that query conditions regarding the contents, structure and metadata of documents are executed by the underlying database system.
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References
M. Aramburu and R. Berlanga. “An Approach to a Digital Library of Newspapers”. In Information Processing & Management, Vol. 33(5), pp. 645–661, 1997.
M. Aramburu. “TOODOR: A Temporal Database Model for Historical Documents”. PhD Thesis, The University of Birmingham, UK, 1998.
ISO 8879. I.P.T.O.S., Standard Generalized Markup Language, 1996.
M. Aramburu and R. Berlanga. “Temporal Object-Oriented Document Organisation and Retrieval”. In Proc.of the Third Biennial World Conference on Integrated Design and Process Technology: Issues and Applications of Database Technology, pp. 368–375, 1998.
M. Aramburu and R. Berlanga. “Metadata for a Digital Library of Historical Documents”. In Proc. 8th DEXA Conference, pp. 409–418, 1997.
I. Sanz, R. Berlanga and M. Aramburu. “Gathering Metadata from Web-based Repositories of Historical Publications”. In Proc. 9th DEXA Workshop, pp. 473–478, 1998.
M. Aramburu and R. Berlanga. “A Retrieval Language for Historical Documents”. In Proc. of 9th DEXA Conference, pp. 216–225, 1998.
R. Cattell (ed.). “The Object Database Standard: ODMG-93 Release 1.2”. Morgan Kaufmann, 1996.
V. Christophides, et al. “From Structured Documents to Novel Query Facilities”. In Proc. of the ACM SIGMOD International Conference on Management of Data, pp. 313–324, 1994.
R. Baeza-Yates and G. Navarro. “Integrating Contents and Structure in Text Retrieval”. In SIGMOD Record, Vol. 25, No.1, pp. 67–79, 1996.
G. Navarro and R.A. Baeza-Yates. “Proximal Nodes: A Model to Query Document Databases by Content and Structure”. In ACM Transactions on Information Systems, Vol. 15, No. 4, pp. 400–435, 1997.
S. Cluet. “Modelling and Querying Semi-Structured Data”. In Lecture Notes in Computer Science, Vol. 1299, Springer-Verlag, pp. 192–213, 1997.
J. Teuhola. “Path Signatures: A Way to Speed Up Recursion in Relational Databases”. In IEEE Transactions on Knowledge and Data Engineering, Vol. 8 (3), 1996.
Oracle 8.0.4, User and Administrator Guides, 1998.
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Berlanga, R., Aramburu, M.J., García, S. (1999). Efficient Retrieval of Structured Documents from Object-Relational Databases. In: Bench-Capon, T.J., Soda, G., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1999. Lecture Notes in Computer Science, vol 1677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48309-8_40
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DOI: https://doi.org/10.1007/3-540-48309-8_40
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