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Ontology for Semantic Data Integration in the Domain of IT Benchmarking
Matthias Pfaff1, Stefan Neubig2, Helmut Krcmar2
11fortiss GmbH, An-Institut Technische Universität München (TUM), Munich, Germany.
Journal on Data Semantics
|March 3, 2018
Summary
A new ontology for IT benchmarking standardizes data, enabling better IT cost reduction analysis. This structured approach bridges the gap between IT service characterization and data-based valuation for improved insights.
Area of Science:
- Information Science
- Computer Science
- Business Informatics
Background:
- IT benchmarking data is often unstructured natural language text.
- Lack of uniform parameter descriptions hinders IT cost reduction analysis.
- Existing methods fail to establish relationships between benchmark parameters.
Purpose of the Study:
- Develop a domain-specific ontology for IT benchmarking.
- Enable systematic characterization and data-based valuation of IT services.
- Facilitate identification of IT cost reduction potentials.
Main Methods:
- Domain analysis including document review and interviews with SMEs and ICT companies.
- Ontology development based on elicited requirements.
- Alignment with the DOLCE-UltraLite foundational ontology.
Main Results:
- A novel ontology for IT benchmarking is proposed (https://w3id.org/bmontology).
- Detailed conceptualization of benchmarking events, questionnaires, IT services, indicators, and values.
- Established alignment with a foundational ontology for semantic interoperability.
Conclusions:
- The developed ontology provides a structured approach to IT benchmarking data.
- Enables consistent data interpretation and analysis for IT cost reduction.
- Facilitates a data-driven approach to IT service valuation and optimization.
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