Ontology Mediation, Merging, and Aligning

Bruijn, Jos de; Ehrig, Marc; Feier, Cristina; Martíns‐Recuerda, Francisco; Scharffe, François; Weiten, Moritz

doi:10.1002/047003033x.ch6

Cited by 91 publications

(81 citation statements)

References 18 publications

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“…Therefore, there is a need to manage existing ontologies on the web at one place and provide global ontology for further purpose. A number of operations [3] such as mapping, alignment, matching, merging, and integration are being used by researchers which take different variants of ontologies from different sources and manage them efficiently. Ontology Mapping means mapping one ontology with another.…”

Section: Related Workmentioning

confidence: 99%

Design of Building Automatic Global Concept Indexer for Ontology Alignment

Jain¹,

Duhan²,

A.K³

2017

IJET

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Abstract-Users of current World Wide Web (WWW) themselves have to involve in refining their search queries in order to find the exact answers because current WWW is web of documents representing only text, audio, video, images and metadata information (unstructured data) not conceptual information. Computers are used to present those documents only and not for retrieving the desired results which ultimately overburdens the users task. Therefore, to deal with this issue, Tim Berner Lee inventor of WWW envisioned semantic web which prioritizes data than documents and uses ontologies to manage the data. Ontologies have been realized as the key technology to shaping and exploiting information for the effective management of knowledge by establishing a common vocabulary for community members to interlink, combine, and communicate knowledge. But, due to the availability large number of ontologies of same domain, integrating data using ontology has become a big challenge. Therefore, there is a need to unify desperate ontologies belonging to same domain to bridge the gap between conceptualization of the same domain. To deal with this challenge, a framework is being proposed in this paper which works to unify the desperate ontologies by a merging technique. Ontology merging process collects the ontologies of the same domain, unifies their entities (class, property) and forms a global ontology. The empirical result shows the construction of global concept indexer which collects unique concepts by applying matching operation between concepts taken from desperate ontologies.Keyword-Ontology, Concept, concept matching, concept indexer, ontology alignment. I. INTRODUCTION Despite of the huge development in the techniques and tools for making current web more expressive, it is merely an information-publishing medium directed towards human consumption. In the web, computers are used as the information space; their ability is not exploited yet. Moreover, Current tools are not that much expressive to provide direct solutions against user's requirements. Users have to search for a number of web documents for finding the required solution corresponding to their queries. A lot of research is going on to deal with this problem and one of the solutions is data integration but because of data heterogeneity on the web, this task has become a big challenge. Tim-Berner-Lee envisioned semantic web [1] as an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. Its primary concern is to have data on the Web defined and linked in a way that machines can also understand its meaning. Thus machines can also be used for automation, integration and reuse of data across various applications. In order to make computer understand the meaning of the content, semantic web uses the concept of ontology which is specialized in formalizing information of a domain at the conceptual level. Ontology [2] is considered as the backbone of the semantic web. It is an explicit ...

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Section: Related Workmentioning

confidence: 99%

Design of Building Automatic Global Concept Indexer for Ontology Alignment

Jain¹,

Duhan²,

A.K³

2017

IJET

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“…Conflicts arising from these differences should be resolved when merging ontologies [33]. Reference [34] stated that ontology created by such a merger should capture all the knowledge contained in the original ontologies. Two approaches may be used: a new ontology can be created that reflects the source ontologies, or what is known as bridge ontology can be created.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They include the creation of a new ontology from two or more existing ontologies with overlapping parts. In addition, reference [34] defines the terms being similar to integration, i.e. alignment and mapping.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To get a similar structure as that shown in Figure 4, a compromise between a fully integrated ontology and so called bridge ontology was chosen [34]. Namely, the target ontology should include a fully unified model of quality, including the characteristics derived from the source ontologies, along with the methods of assessment, for which the source ontologies were built.…”

Section: Construction Of the Source Ontologiesmentioning

confidence: 99%

See 1 more Smart Citation

Integration of Domain Ontologies in the Repository of Website Evaluation Methods

Ziemba

Jankowski

Wątróbski

et al. 2015

Annals of Computer Science and Information Systems

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Abstract-Many methods can be used for the evaluation of website quality. While they can be used for different purposes and require different assessment approaches it is not easy to select proper method adequate to the needs. Presented research is focused on building a repository of knowledge about the methods for the assessing the quality of website. The repository in the form of ontologies covers various methods of quality assessment and makes possible their proper selection. Proposed approach was verified with main methods and the resulting ontology can act as a repository of domain knowledge.

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“…Typically a mapping process consists of three main stages. 1) Mapping discovery, 2)Mapping representation and 3)Mapping execution (Bruijn et al, 2006). Since there needs to be a similarity in the ontologies to be mapped, the mapping discovery stage corresponds to a search for this similarity.…”

Section: Mapping Of Ontologiesmentioning

confidence: 99%