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An OODBMS-IRS Coupling for Structured Documents.

Marc Volz, Karl Aberer, Klemens Böhm: An OODBMS-IRS Coupling for Structured Documents. IEEE Data Eng. Bull. 19(1): 34-42(1996)
@article{DBLP:journals/debu/VolzAB96,
  author    = {Marc Volz and
               Karl Aberer and
               Klemens B{\"o}hm},
  title     = {An OODBMS-IRS Coupling for Structured Documents},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {19},
  number    = {1},
  year      = {1996},
  pages     = {34-42},
  ee        = {db/journals/debu/VolzAB96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Requirements of modern Hypermedia Document Systems include support for structured documents and full DBMS and IRS functionality. An objective of DBMSs is to store and facilitate updates of highly structured and typed data. In conventional IRSs, however, documents are perceived as flat. Uncertainty, on the other hand, is a principal notion in the IRS context. In order to combine the advantages of both DBMSs and IRSs we have coupled the IRS INQUERY with the OODBMS VODAK. To model document structure, we have chosen SGML. SGML documents are stored in the OODBMS, and additional full text indexing is done by the IRS. The coupling consists of OODBMS classes encapsulating the IRS functionality. As SGML elements are modeled by database objects in an object oriented framework, queries can be modeled by means of methods including content based queries.

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Data Engineering Bulletin March 1996: Integrating Text Retrieval and Databases (Eliot Moss, ed.)
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