Ontology Integration: Approaches and Challenging Issues

Osman, Inès; Yahia, Sadok Ben; Diallo, Gayo

doi:10.1016/j.inffus.2021.01.007

Cited by 54 publications

(44 citation statements)

References 80 publications

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“…Thus, ontology merging is a special case of ontology integration , and the resulting merged ontology can also be called an integrated ontology. In general, ontology integration is often associated with ontology merging , and, indeed, the two terms are often considered to be synonyms in the literature [1] .…”

Section: Preliminaries and Key Notionsmentioning

confidence: 99%

“…Besides, it is impossible to manually obtain an ideal integration result for large ontologies, and there could be more than just one ideal result [26] . On the other hand, the related work approaches use different input ontologies, different ontology integration types, different input parameters and different evaluation metrics [1] . Therefore, it is impossible to compare our obtained results with other ontology integration methods.…”

Section: Experimentationmentioning

confidence: 99%

“…In this work, we aim to assess the quality of the resulting integrated ontology. To do so, we will be using the following measures [1] : Entities completeness/coverage : Number of preserved entities from the input ontologies; Axioms completeness/coverage : Number of preserved axioms from the input ontologies; Correspondences completeness : Number of preserved correspondences from the input alignment(s); Ontology consistency : Is the integrated ontology consistent? (True or False); Ontology coherence : Number of unsatisfiable classes in the integrated ontology; Entities redundancy : Number of duplicated/redundant entities in the integrated ontology.…”

Section: Experimentationmentioning

confidence: 99%

“…Our method takes as input two or more ontologies having overlapping domains and one or more pairwise alignment(s) between them and returns a new refactored ontology that faithfully preserves all knowledge of the input ontologies and alignments. This article is actually a method article that is associated with a previous publication [1] . It focuses on the methodological aspects of our holistic ontology integration approach that was briefly presented in [1] .…”

Section: Introductionmentioning

confidence: 99%

“…This article is actually a method article that is associated with a previous publication [1] . It focuses on the methodological aspects of our holistic ontology integration approach that was briefly presented in [1] . The previously published article [1] is a survey that reviews the relevant literature in the ontology integration area.…”

Section: Introductionmentioning

confidence: 99%

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Section: Preliminaries and Key Notionsmentioning

confidence: 99%

Section: Experimentationmentioning

confidence: 99%

Section: Experimentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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A Modular Ontology Framework for Building Renovation Domain

Valluru

Karlapudi

Mätäsniemi

et al. 2021

IFIP Advances in Information and Communication Technology

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Building renovation is a complex collaborative process requiring the interaction between planners, architects, civil engineers, energy experts, and managers of (pre-)manufacturing plants supplying building elements, components of energy supply and distribution systems "just in sequence" to densely used urban spaces -where the majority of buildings under renovation are located. Therefore, the availability of a complete, comprehensive Building Information Model, amalgamating current and future product and process models is of outstanding importance. Approaches, suggesting so-called "monolithic" building information models did not deliver the expected "value for money" since the efforts required to set up and maintain such digital models requested more resources than available. Therefore, the authors present in this paper an alternative approach to information, knowledge management, and sharing in the AECO-sector, i.e. modular ontologies. The flexible and dynamic approach to combine new and available modules of information addresses more responsively the needs of the AECO sector. Furthermore, such BIM models overcome limitations in adaptability, extensibility, etc. of current "openBIM models. Due to this the shift towards using semantic web technologies for knowledge base and semantic interoperability has been increased in the AECO industry. The work presented in the paper introduces a recently developed linked data, an ontologybased framework that harmonizes and orchestrates ontologies recently developed for the construction domain. It studies inter-model and inter ontology relationships to address concepts that are currently absent from "building ontologies". The developed framework can be used to support collaborative environments in the engineering and manufacturing sector supporting the efficient sharing of information between architects, engineers, manufacturing plants, and assembly crews on the construction site.

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