An Introduction to Ontologies and Ontology Engineering

Roussey, Catherine; Pinet, François; Kang, Myoung-Ah; Corcho, Óscar

doi:10.1007/978-0-85729-724-2_2

Cited by 87 publications

(41 citation statements)

References 19 publications

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“…Ontologies are traditionally used to represent knowledge (Brewster & O'Hara, 2007;Jakus, Milutinovic, Omerović, & Tomažič, 2013). In general there are two kinds of ontologies: i) formal ontologies -introduced by Edmund Husserl and colleagues as "eidetic science of object as such" (Husserl, Biemel, & Biemel, 1952) where eidetic derives from the Greek word εἶδος which means "form", defining unbiased views on reality from any domain specific influences; and ii) domain ontologiesontologies developed for and applicable to a domain with a domain specific view (Roussey, Pinet, Kang, & Corcho, 2011).…”

Section: State Of the Artmentioning

confidence: 99%

Development of a platform recommending 3D and spectral digitisation strategies

Wefers

Karmacharya

Boochs

2016

Virtual archaeol. rev.

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Abstract:Spatial and spectral recording of cultural heritage objects is a complex task including data acquisition, processing and analysis involving different technical disciplines. Additionally, the development of a suitable digitisation strategy satisfying the expectations of the humanities experts needs an interdisciplinary dialogue often suffering from misunderstanding and knowledge gaps on both the technical and humanities sides.Through a concerted discussion, experts from the cultural heritage and technical domains currently develop a so-called COSCH KR (Colour and Space in Cultural Heritage Knowledge Representation) platform that will give recommendations for spatial and spectral recording strategies adapted to the needs of the cultural heritage application. The platform will make use of an ontology through which the relevant parameters of the different domains involved in the recording, processing, analysis, and dissemination of cultural heritage objects are hierarchically structured and related through rulebased dependencies. Background and basis for this ontology is the fact that a deterministic relation exists between (1) the requirements of a cultural heritage application on spatial, spectral, as well as visual digital information of a cultural heritage object which itself has concrete physical characteristics and (2) the technical possibilities of the spectral and spatial recording devices. Through a case study which deals with the deformation analysis of wooden samples of cultural heritage artefacts, this deterministic relationship is illustrated explaining the overall structure and development of the ontology.The aim of the COSCH KR platform is to support cultural heritage experts finding the best suitable recording strategy for their often unique physical cultural heritage object and research question. The platform will support them and will make them aware of the relevant parameters and limitations of the recording strategy with respect to the characteristics of the cultural heritage object, external influences, application, recording devices, and data.

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Section: State Of the Artmentioning

confidence: 99%

Development of a platform recommending 3D and spectral digitisation strategies

Wefers

Karmacharya

Boochs

2016

Virtual archaeol. rev.

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“…Among its three sub languages, OWL-DL is the most used one since it fill the shortage of OWL-Lite and has more flexibility that OWL-Full (McGuinness & Harmelen, 2004;Roussey et al, 2011).…”

Section: Ontology Modellingmentioning

confidence: 99%

Chest-Pain Consultation System Based on Fuzzy Semantic Rules

Al-Hamadani¹

2016

CIS

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Chest pain is considered to be one of the most important prognoses to diagnose several heart and chest diseases. This domain of knowledge suffers from vague information especially when non specialist people interact with it. This paper presents a consultation system to be used by patients with chest pain or discomfort in order to diagnose the cause of the pain and provide suitable recommendations. The system consists of two subsystems. Determining the caused of the pain is the first stage based on the fuzzy concepts and fuzzy OWL to deal with vague information. Depending on the result of the first stage, the second stage provides recommendations to be accomplished by the patient to save their lives according to SWRL and Ontology engineering. The system has been tested using 55 patients to validate its sensitivity and specificity. The results were compared with the specialists' opinion and the results emphasized the efficiency and the reliability of the system.

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“…Particularly in building information modelling domain, many ontologies are developed to facilitate the information sharing and exchange with a collaborative environment. For example, the Industry Foundation Classes (IFC) by BuildingSMART has been progressively developed to provide a widely used platform where construction data could be exchanged seamlessly [42]. Another example is the e-COGNOS project [43], which proposed a prototype ontology for the construction domain to support semantic knowledge management including semantic indexing, information retrieval and ontologybased collaboration.…”

Section: Applicationsmentioning

confidence: 99%

“…In terms of the existing semantic sources for this case, the IFC schema by BuildingSMART has been regarded as primarily developed standard for exchanging and sharing of Building Information Models (BIM) to increase the productiveness of design, construction, and maintenance operations within the life cycle of buildings [42]. It offers an example of structuring concepts associated with building elements; however with limitations of rule restrictions.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Ontology-based approach for structural design considering low embodied energy and carbon

Hou

Rezgui

2015

Energy and Buildings

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Please cite this article as: S. Hou, H. Li, Y. Rezgui, Ontology-based approach for structural design considering low embodied energy and carbon, Energy and Buildings (2015), http://dx.doi.org/10.1016/j.enbuild. 2015.04.051 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Page 1 of 27 A c c e p t e d M a n u s c r i p t Highlights  An ontology based decision support system is developed for structural design. System provides multiple optimised solutions with low embodied energy and carbon. System provides selection of structural material suppliers. OWL ontology is used to integrate multiple domain knowledge in a knowledge model.  SWRL rules is applied to infer new facts and query ontology.Page 2 of 27 A c c e p t e d M a n u s c r i p t AbstractBuildings account a large share of energy consumption and greenhouse gas emission. Numerous methods have been applied to operate buildings more efficiently. However, the embodied energy and carbon are identified increasingly important in terms of sustainability throughout building life cycle. In traditional building structural design approach, the engineers pay little attention on environmental aspect which has been recognised as one of the most important factors to consider in modern integrated building design approach. The emergence of Semantic Web technologies provides more opportunities to assist structural engineers in improving building sustainability. The study presented in this paper investigates how ontology and Semantic Web rules can be used in a knowledge-based system, to represent information about structural design and sustainability, and to facilitate decision-making in design process by recommending appropriate solutions for different situations. A prototypical system named OntoSCS (Sustainable Concrete Structure Ontology), including a Web Ontology Language (OWL) ontology as knowledge base and SWRL rules providing reasoning mechanism, is developed to offer optimised structural design solutions and selections of material suppliers. Embodied energy and CO 2 e are used in the system as indicators to evaluate sustainability of structure. Both ontology reasoner and case studies are employed for system validation.

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An Introduction to Ontologies and Ontology Engineering

Cited by 87 publications

References 19 publications

Development of a platform recommending 3D and spectral digitisation strategies

Development of a platform recommending 3D and spectral digitisation strategies

Chest-Pain Consultation System Based on Fuzzy Semantic Rules

Ontology-based approach for structural design considering low embodied energy and carbon

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