Internal data market services: an ontology-based architecture and its evaluation

Alphonsus B.J.M. Wijnhoven, Edwin van den Belt, Eddy Verbruggen, P.E. van der Vet

Research output: Contribution to journalArticleAcademicpeer-review

8 Downloads (Pure)

Abstract

On information markets, many suppliers and buyers of information goods exchange values. Some of these goods are data, whose value is created in buyer interactions with data sources. These interactions are enabled by data market services (DMS). DMS give access to one or several data sources. The major problems with the creation of information value in these contexts are (1) the quality of information retrievals and related queries, and (2) the complexity of matching information needs and supplies when different semantics are used by source systems and information buyers. This study reports about a prototype DMS (called CIRBA), which employs an ontology-based information retrieval system to solve semantic problems for a DMS. The DMS quality is tested in an experiment to assess its quality from a user perspective against a traditional data warehouse (with SQL) solution. The CIRBA solution gave substantially higher user satisfaction than the data warehouse alternative.
Original languageUndefined
Pages (from-to)259-271
Number of pages13
JournalInforming science
Volume6
Publication statusPublished - 2003

Keywords

  • Data warehouse
  • IR-60419
  • METIS-217853
  • Ontology
  • Data market services
  • Information Retrieval
  • EWI-6612

Cite this

@article{9204dc70cc0c4c82a3db6d68a61fadc6,
title = "Internal data market services: an ontology-based architecture and its evaluation",
abstract = "On information markets, many suppliers and buyers of information goods exchange values. Some of these goods are data, whose value is created in buyer interactions with data sources. These interactions are enabled by data market services (DMS). DMS give access to one or several data sources. The major problems with the creation of information value in these contexts are (1) the quality of information retrievals and related queries, and (2) the complexity of matching information needs and supplies when different semantics are used by source systems and information buyers. This study reports about a prototype DMS (called CIRBA), which employs an ontology-based information retrieval system to solve semantic problems for a DMS. The DMS quality is tested in an experiment to assess its quality from a user perspective against a traditional data warehouse (with SQL) solution. The CIRBA solution gave substantially higher user satisfaction than the data warehouse alternative.",
keywords = "Data warehouse, IR-60419, METIS-217853, Ontology, Data market services, Information Retrieval, EWI-6612",
author = "Wijnhoven, {Alphonsus B.J.M.} and {van den Belt}, Edwin and Eddy Verbruggen and {van der Vet}, P.E.",
note = "Imported from HMI",
year = "2003",
language = "Undefined",
volume = "6",
pages = "259--271",
journal = "Informing science",
issn = "1547-9684",
publisher = "Informing Science Institute",

}

Internal data market services: an ontology-based architecture and its evaluation. / Wijnhoven, Alphonsus B.J.M.; van den Belt, Edwin; Verbruggen, Eddy; van der Vet, P.E.

In: Informing science, Vol. 6, 2003, p. 259-271.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Internal data market services: an ontology-based architecture and its evaluation

AU - Wijnhoven, Alphonsus B.J.M.

AU - van den Belt, Edwin

AU - Verbruggen, Eddy

AU - van der Vet, P.E.

N1 - Imported from HMI

PY - 2003

Y1 - 2003

N2 - On information markets, many suppliers and buyers of information goods exchange values. Some of these goods are data, whose value is created in buyer interactions with data sources. These interactions are enabled by data market services (DMS). DMS give access to one or several data sources. The major problems with the creation of information value in these contexts are (1) the quality of information retrievals and related queries, and (2) the complexity of matching information needs and supplies when different semantics are used by source systems and information buyers. This study reports about a prototype DMS (called CIRBA), which employs an ontology-based information retrieval system to solve semantic problems for a DMS. The DMS quality is tested in an experiment to assess its quality from a user perspective against a traditional data warehouse (with SQL) solution. The CIRBA solution gave substantially higher user satisfaction than the data warehouse alternative.

AB - On information markets, many suppliers and buyers of information goods exchange values. Some of these goods are data, whose value is created in buyer interactions with data sources. These interactions are enabled by data market services (DMS). DMS give access to one or several data sources. The major problems with the creation of information value in these contexts are (1) the quality of information retrievals and related queries, and (2) the complexity of matching information needs and supplies when different semantics are used by source systems and information buyers. This study reports about a prototype DMS (called CIRBA), which employs an ontology-based information retrieval system to solve semantic problems for a DMS. The DMS quality is tested in an experiment to assess its quality from a user perspective against a traditional data warehouse (with SQL) solution. The CIRBA solution gave substantially higher user satisfaction than the data warehouse alternative.

KW - Data warehouse

KW - IR-60419

KW - METIS-217853

KW - Ontology

KW - Data market services

KW - Information Retrieval

KW - EWI-6612

M3 - Article

VL - 6

SP - 259

EP - 271

JO - Informing science

JF - Informing science

SN - 1547-9684

ER -