Applying an ontology approach to IT service management for business-IT integration

Valiente, María-Cruz; García‐Barriocanal, Elena; Sicilia, Miguel–Ángel

doi:10.1016/j.knosys.2011.12.003

Cited by 44 publications

(24 citation statements)

References 26 publications

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“…The same holds true for ontologies used for business modelling, system configuration and execution management systems, as presented by Cai et al 2016), as well as for typologies in the context of business process management (BPM), as introduced by Müller et al (2016). On the one hand, this also applies for ontologies in the context of ITSM (Freitas, Correia, and E Abreu 2008;Valiente, Garcia-Barriocanal, and Sicilia 2012), IT governance frameworks in the context of the Information Technology Infrastructure Library (ITIL) (Office 2011) and for related ontologies, such as the GoodRelations ontology (Hepp 2008) or the Financial Industry Business Ontology (FIBO) (Council 2016). On the other hand, ontologies such as the Business Model Ontology (BMO) (Osterwald, Pigneur, and Tucci 2005) and the e3-value ontology (Gordijn and Akkermans 2001) only focus on the conceptualization of economic aspects within a single enterprise or economic aspects within a network of enterprises.…”

Section: The Domain Of It Benchmarkingmentioning

confidence: 83%

A web-based system architecture for ontology-based data integration in the domain of IT benchmarking

Pfaff

Krcmar

2017

Enterprise Information Systems

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In the domain of IT benchmarking (ITBM), a variety of data and information are collected. Although these data serve as the basis for business analyses, no unified semantic representation of such data yet exists. Consequently, data analysis across different distributed data sets and different benchmarks is almost impossible. This paper presents a system architecture and prototypical implementation for an integrated data management of distributed databases based on a domain-specific ontology. To preserve the semantic meaning of the data, the ITBM ontology is linked to data sources and functions as the central concept for database access. Thus, additional databases can be integrated by linking them to this domain-specific ontology and are directly available for further business analyses. Moreover, the web-based system supports the process of mapping ontology concepts to external databases by introducing a semi-automatic mapping recommender and by visualizing possible mapping candidates. The system also provides a natural language interface to easily query linked databases. The expected result of this ontologybased approach of knowledge representation and data access is an increase in knowledge and data sharing in this domain, which will enhance existing business analysis methods. ARTICLE HISTORY

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Section: The Domain Of It Benchmarkingmentioning

confidence: 83%

A web-based system architecture for ontology-based data integration in the domain of IT benchmarking

Pfaff

Krcmar

2017

Enterprise Information Systems

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“…ITIL [5] directs maintenance management process; Log collection and analysis is for intrusion detect and system monitoring [4]; equipment monitoring and faults are for receiving hardware equipment information [6]; decentralized process of maintenance management is integrated [7]; Fault information statistical analysis and optimization of maintenance work is by data mining and semantic analysis technology [8,9],and so on. Some large enterprises, developed maintenance systems or customized solutions by themselves ,such as telecoms, electric power companies, financial companies, etc.…”

Section: Introductionmentioning

confidence: 99%

Research and Practice of Application-level Maintenance Platform Based on ITIL

Li¹,

Wu²

2013

Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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Abstract-There are many studies about application-level maintenance at present, with different levels and depth and business logic. However, there are some common characteristics from two respects: incident management and problem management of ITIL. This paper designs an application-level maintenance platform (AMP) on ITIL, which is a set of practices for IT service management (ITSM).AMP separates common characteristics from non-common characteristics collected, and implements functions of common characteristics. Users only develop functions of non-common characteristics to get a maintenance system for specific application quickly. AMP has been applied in practice successfully.

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“…Ontology mapping is a relatively mature area of research used for aligning two or more ontologies (information sources) for the purpose of sharing information and overcoming heterogeneity issues [1,2,[4][5][6][7][8]. The terms mapping and matching are often used interchangeably.…”

Section: Introductionmentioning

confidence: 99%

“…Matching is the process of determining semantic relatedness between two entities. On the other hand, mapping is the process of finding the data transformation based on the semantic relatedness for a given instance of a source entity that will produce an instance of a target entity [8,9]. Falcon [2], MAFRA [5], H-Match [6], Lily [10], and TaxoMap [11] are amongst the best matching and mapping systems.…”

Section: Introductionmentioning

confidence: 99%