Ontology management and evolution for business intelligence

Alexander Mikroyannidis; Babis Theodoulidis

doi:10.1016/j.ijinfomgt.2009.10.002

Ontology management and evolution for business intelligence

Alexander Mikroyannidis, Babis Theodoulidis

Research output: Contribution to journal › Article › peer-review

Abstract

The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset for business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence. The paper demonstrates the use of Heraclitus II, a framework that employs ontology management and evolution in the context of information management systems. The capabilities of the framework in facilitating information management and business intelligence are evaluated through a real-life case study from the life sciences industry. © 2010 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	559-566
Number of pages	7
Journal	International Journal of Information Management
Volume	30
Issue number	6
DOIs	https://doi.org/10.1016/j.ijinfomgt.2009.10.002
Publication status	Published - Dec 2010

Keywords

Business intelligence
Information management
Ontology
Ontology evolution
Ontology management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.ijinfomgt.2009.10.002

Cite this

@article{9da7eb248e4b4fe1a8aa4460759d711b,

title = "Ontology management and evolution for business intelligence",

abstract = "The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset for business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence. The paper demonstrates the use of Heraclitus II, a framework that employs ontology management and evolution in the context of information management systems. The capabilities of the framework in facilitating information management and business intelligence are evaluated through a real-life case study from the life sciences industry. {\textcopyright} 2010 Elsevier Ltd. All rights reserved.",

keywords = "Business intelligence, Information management, Ontology, Ontology evolution, Ontology management",

author = "Alexander Mikroyannidis and Babis Theodoulidis",

year = "2010",

month = dec,

doi = "10.1016/j.ijinfomgt.2009.10.002",

language = "English",

volume = "30",

pages = "559--566",

journal = "International Journal of Information Management",

issn = "0268-4012",

publisher = "Elsevier BV",

number = "6",

}

TY - JOUR

T1 - Ontology management and evolution for business intelligence

AU - Mikroyannidis, Alexander

AU - Theodoulidis, Babis

PY - 2010/12

Y1 - 2010/12

N2 - The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset for business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence. The paper demonstrates the use of Heraclitus II, a framework that employs ontology management and evolution in the context of information management systems. The capabilities of the framework in facilitating information management and business intelligence are evaluated through a real-life case study from the life sciences industry. © 2010 Elsevier Ltd. All rights reserved.

AB - The amount of heterogeneous data that is available to organizations nowadays has made information management a seriously complicated task, yet crucial since this data can be a valuable asset for business intelligence. Ontologies can act as a semantically rich knowledge base in systems that specialize in information management. The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence. The paper demonstrates the use of Heraclitus II, a framework that employs ontology management and evolution in the context of information management systems. The capabilities of the framework in facilitating information management and business intelligence are evaluated through a real-life case study from the life sciences industry. © 2010 Elsevier Ltd. All rights reserved.

KW - Business intelligence

KW - Information management

KW - Ontology

KW - Ontology evolution

KW - Ontology management

U2 - 10.1016/j.ijinfomgt.2009.10.002

DO - 10.1016/j.ijinfomgt.2009.10.002

M3 - Article

SN - 0268-4012

VL - 30

SP - 559

EP - 566

JO - International Journal of Information Management

JF - International Journal of Information Management

IS - 6

ER -

Ontology management and evolution for business intelligence

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this