Browse Prior Art Database

Software Component Library and Electronic Library Catalog

IP.com Disclosure Number: IPCOM000118726D
Original Publication Date: 1997-Jun-01
Included in the Prior Art Database: 2005-Apr-01
Document File: 4 page(s) / 89K

Publishing Venue

IBM

Related People

Meiwes, H: AUTHOR [+2]

Abstract

Disclosed is an Electronic Catalog System for applications in multimedia information systems, in particular for supporting library applications and software reuse.

This text was extracted from an ASCII text file.
This is the abbreviated version, containing approximately 52% of the total text.

Software Component Library and Electronic Library Catalog

      Disclosed is an Electronic Catalog System for applications in
multimedia information systems, in particular for supporting library
applications and software reuse.

      A catalog system is the component of a library system which
offers the librarian to register the objects contained in the library
and which allows the user to search for these objects.  Based on the
information provided by the catalog system, the user can decide to
select or retrieve objects from the library.

Examples of such "libraries" are:
  o  public libraries
  o  bookstore
  o  retailer shop
  o  software component library.

      The disclosed Catalog System is based on a relational database
system and is proposed to perform parametric search- and
query-functions.

      This Electronic Catalog System makes use of a THESAURUS support
and FACETED CLASSIFICATION and provides the following features:
  o  improved search and query capability supporting the EXACT
      MATCH and PARTIAL MATCH query through a goal-oriented
      strategy;
  o  improved user-interface, providing synonyms including
      language translation and user-defined terms, particularly
      if the Catalog System is multilingual;
  o  support of the linguistic variables;
  o  support of the conceptual closeness and similarity achieved
      by a thesaurus support and vectorization;
  o  fuzzy search capability using conceptual closeness and
      similarity; search result ranking and alternatives as
      substitutes;
  o  flexible search terms using faceted classification scheme;
      specific optimization algorithms can be attached to a
      specific defined domain application, for example, provide
      the lowest price for the same item.

Proposed Technology

      Depending on the application domain, the user can define a
facetted classification scheme, specific to the application.

Examples are:
  o  for a library or bookstore: author, title, publisher, ISBN,
      subject area, etc.
  o  for a retail business: type of article, color, style, quality,
      manufacturer, etc.

      Internally, each of the characteristic attributes of the
classification scheme will be assigned an internal ID and a given
signature position within the retrieval vector.  The attributes are
provided with synonyms - including language translation.  The
characteristic attri...