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Open Access
Article
Publication date: 4 December 2023

Diego Espinosa Gispert, Ibrahim Yitmen, Habib Sadri and Afshin Taheri

The purpose of this research is to develop a framework of an ontology-based Asset Information Model (AIM) for a Digital Twin (DT) platform and enhance predictive maintenance…

Abstract

Purpose

The purpose of this research is to develop a framework of an ontology-based Asset Information Model (AIM) for a Digital Twin (DT) platform and enhance predictive maintenance practices in building facilities that could enable proactive and data-driven decision-making during the Operation and Maintenance (O&M) process.

Design/methodology/approach

A scoping literature review was accomplished to establish the theoretical foundation for the current investigation. A study on developing an ontology-based AIM for predictive maintenance in building facilities was conducted. Semi-structured interviews were conducted with industry professionals to gather qualitative data for ontology-based AIM framework validation and insights.

Findings

The research findings indicate that while the development of ontology faced challenges in defining missing entities and relations in the context of predictive maintenance, insights gained from the interviews enabled the establishment of a comprehensive framework for ontology-based AIM adoption in the Facility Management (FM) sector.

Practical implications

The proposed ontology-based AIM has the potential to enable proactive and data-driven decision-making during the process, optimizing predictive maintenance practices and ultimately enhancing energy efficiency and sustainability in the building industry.

Originality/value

The research contributes to a practical guide for ontology development processes and presents a framework of an Ontology-based AIM for a Digital Twin platform.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 22 July 2021

Farhad Sadeghineko and Bimal Kumar

Facilitating the information exchange and interoperability between stakeholders during the life-cycle of an asset can be one of the fundamental necessities for developing an…

Abstract

Purpose

Facilitating the information exchange and interoperability between stakeholders during the life-cycle of an asset can be one of the fundamental necessities for developing an enhanced information exchange framework. Such a framework can also improve the successful accomplishment of building projects. This paper aims to use Semantic Web technologies for facilitating information exchange within existing building projects.

Design/methodology/approach

In real-world building projects, the construction industry’s information supply chain may initiate from near scratch when new building projects are started resulting in diverse data structures represented in unstructured data sources, like Excel spreadsheets and documents. Large-scale data generated throughout a building's life-cycle requires exchanging and processing during an asset's Operation and Maintenance (O&M) phase. Building information modelling (BIM) processes and related technologies can address some of the challenges and limitations of information exchange and interoperability within new building projects. However, the use of BIM in existing and retrofit assets has been hampered by the challenges surrounding the limitations of existing technologies.

Findings

The aim of this paper is twofold. Firstly, it briefly outlines the framework previously developed for generating semantically enriched 3D retrofit models. Secondly, a framework is proposed focussing on facilitating the information exchange and interoperability for existing buildings. Semantic Web technologies and standards, such as Web Ontology Language and existing AEC domain ontologies are used to enhance and improve the proposed framework.

Originality/value

The proposed framework is evaluated by implementing an example application and the Resource Description Framework data produced by the previously developed framework. The proposed approach makes a valuable contribution to the asset/facilities management (AM/FM) domain. It should be of interest to various FM practices for existing assets, such as the building information/knowledge management for design, construction and O&M stages of an asset’s life-cycle.

Article
Publication date: 18 January 2008

Jin‐Cheon Na and Hock Leng Neoh

The purpose of this article is to examine the effectiveness of the unified medical language system (UMLS) semantic network as a seed ontology for building a medical field ontology.

Abstract

Purpose

The purpose of this article is to examine the effectiveness of the unified medical language system (UMLS) semantic network as a seed ontology for building a medical field ontology.

Design/methodology/approach

The information extraction process known as the knowledge engineering approach was used to extract concepts and their semantic relations from documents on “colon cancer treatment”. The UMLS semantic network was used as a seed ontology, and was extended and enriched with the extracted concepts and semantic relations using Protégé.

Findings

Only half of the semantic relations extracted manually were defined (or inferable) in the UMLS semantic network. The remaining half could be added to the network to extend its coverage. In addition, two semantic types in the network were found to be too general and four new sublevel semantic types were proposed to make them more specific.

Research limitations/implications

Since only 109 research paper abstracts in the “colon cancer treatment” domain were analyzed in this study, more abstracts from the colon cancer treatment domain as well as from other cancer treatment domains (such as breast cancer treatment) can be analyzed to give a better generalization of our findings.

Originality/value

This study shares our findings on the effectiveness of the UMLS semantic network as a seed ontology for building a medical domain ontology, and also provides the basic guidelines for building or extending a medical domain ontology using the UMLS.

Details

Aslib Proceedings, vol. 60 no. 1
Type: Research Article
ISSN: 0001-253X

Keywords

Article
Publication date: 16 November 2012

Quoc‐Hung Ngo, Son Doan and Werner Winiwarter

This paper aims to serves two main purposes: First, it seeks to provide an overview of the location hierarchy from the highest divisions (continents) to the lowest divisions…

Abstract

Purpose

This paper aims to serves two main purposes: First, it seeks to provide an overview of the location hierarchy from the highest divisions (continents) to the lowest divisions (wards, villages) in reality and in the Wikipedia pages. Secondly, it aims to introduce an approach to building a geographical ontology from Wikipedia.

Design/methodology/approach

The paper first reviews existing applications which extract information from Wikipedia and use it as a data resource to develop natural language processing tools. The paper also reviews the structure of Wikipedia pages which show the location's information. Based on the analysis, the paper then proposes an approach to extract location hierarchy as well as geographical characteristics for the geo‐ontology. The approach also rebuilds the relations between locations in the ontology.

Findings

Existing location name systems are mainly based on probabilistic locations, which are mined from the data and they lack the administrative relations between locations for full levels and all countries and territories. The literature review in geographical hierarchy and using Wikipedia for natural language processing tasks offers an approach to build a geographical ontology from Wikipedia pages. The proposed approach is believed to be the first which provides a full geo‐ontology for all countries.

Practical implications

The paper builds a geo‐ontology with full levels for all countries and territories. The administrative relations between locations are needed for real‐world applications.

Originality/value

The comprehensive overview on existing work on geo‐ontology provides a valuable reference for researchers and system developers in related research communities. The proposed approach to build a geographical ontology by using the Wikipedia offers a promising alternative to build a knowledge system from free online multi‐language encyclopedia.

Details

International Journal of Web Information Systems, vol. 8 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 29 March 2024

Sihao Li, Jiali Wang and Zhao Xu

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information…

Abstract

Purpose

The compliance checking of Building Information Modeling (BIM) models is crucial throughout the lifecycle of construction. The increasing amount and complexity of information carried by BIM models have made compliance checking more challenging, and manual methods are prone to errors. Therefore, this study aims to propose an integrative conceptual framework for automated compliance checking of BIM models, allowing for the identification of errors within BIM models.

Design/methodology/approach

This study first analyzed the typical building standards in the field of architecture and fire protection, and then the ontology of these elements is developed. Based on this, a building standard corpus is built, and deep learning models are trained to automatically label the building standard texts. The Neo4j is utilized for knowledge graph construction and storage, and a data extraction method based on the Dynamo is designed to obtain checking data files. After that, a matching algorithm is devised to express the logical rules of knowledge graph triples, resulting in automated compliance checking for BIM models.

Findings

Case validation results showed that this theoretical framework can achieve the automatic construction of domain knowledge graphs and automatic checking of BIM model compliance. Compared with traditional methods, this method has a higher degree of automation and portability.

Originality/value

This study introduces knowledge graphs and natural language processing technology into the field of BIM model checking and completes the automated process of constructing domain knowledge graphs and checking BIM model data. The validation of its functionality and usability through two case studies on a self-developed BIM checking platform.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 30 January 2009

Francesco Colace, Massimo De Santo and Matteo Gaeta

The development of adaptable and intelligent educational systems is widely considered one of the great challenges in scientific research. Among key elements for building advanced…

1751

Abstract

Purpose

The development of adaptable and intelligent educational systems is widely considered one of the great challenges in scientific research. Among key elements for building advanced training systems, an important role is played by methodologies chosen for knowledge representation. In this scenario, the introduction of ontology formalism can improve the quality of formative process, allowing the introduction of new and effective services. Ontology can lead to important improvements in the definition of courses knowledge domain, in the generation of adapted learning path and in the assessment phase. The purpose of this paper is to provide an initial discussion of the role of ontology in the context of e‐learning. It seeks to discuss the improvements related to the introduction of ontology formalism in the e‐learning field and to show a novel algorithm for ontology building through the use of Bayesian networks. Finally, it aims to illustrate its application in the assessment process and some experimental results.

Design/methodology/approach

A novel method for learning ontology for e‐learning is illustrated, using an approach based on Bayesian networks. Thanks to their characteristics, these networks can be used to model and evaluate the conditional dependencies among the nodes of ontology on the basis of the data obtained from student tests. An experimental evaluation of the proposed method was performed using real student data.

Findings

The proposed method was integrated in a tool for the assessment of students during a learning process. This tool is based on the use of ontology and Bayesian network. In particular through the matching between ontology and Bayesian network, it was found that our tool allows an effective tutoring and a better adaptation of learning process to demands of students. The assessment based on Bayesian approach allows a deeper analysis of student's knowledge.

Research limitations/implications

The proposed approach needs more experimentation with other domains and with more complex ontology.

Originality/value

This paper provides an initial discussion of the role of ontology in the context of e‐learning. The improvements related to the introduction of ontology formalism in the e‐learning field are discussed and a novel algorithm for ontology building through the use of Bayesian Networks is showed. Finally, its application in the assessment process and some experimental results are illustrated.

Details

Interactive Technology and Smart Education, vol. 6 no. 1
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 8 January 2018

Olga Piedad Zalamea Patino, Jos Van Orshoven and Thérèse Steenberghen

The purpose of this paper is to present the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model…

Abstract

Purpose

The purpose of this paper is to present the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model for the Built Cultural Heritage (BCH) domain, more specifically for preventive conservation.

Design/methodology/approach

The On-To-Knowledge methodology was applied in the ontology development process. Terms related to preventive conservation were identified by means of a taxonomy which was used later to identify related existing ontologies. Three ontologies were identified and merged, i.e. Geneva City Geographic Markup Language (Geneva CityGML), Monument Damage ontology (Mondis) and CIDOC Conceptual Reference Model (CIDOC-CRM). Additional classes and properties were defined as to provide a complete semantic framework for management of BCH.

Findings

A BCH-ontology for preventive conservation was created. It consists of 143 classes from which 38 originate from the Mondis ontology, 38 from Geneva CityGML, 37 from CIDOC-CRM and 30 were newly created. The ontology was applied in a use case related to the New cathedral in the city of Cuenca, Ecuador. Advantages over other type of systems and for the BCH-domain were discussed based on this example.

Research limitations/implications

The proposed ontology is in a testing stage through which a number of its aspects are being verified.

Originality/value

This ontological model is the first one to focus on the preventive conservation of BCH.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. 8 no. 2
Type: Research Article
ISSN: 2044-1266

Keywords

Article
Publication date: 25 October 2018

Qing Zou and Eun G. Park

This study aims to explore a way of representing historical collections by examining the features of an event in historical documents and building an event-based ontology model.

Abstract

Purpose

This study aims to explore a way of representing historical collections by examining the features of an event in historical documents and building an event-based ontology model.

Design/methodology/approach

To align with a domain-specific and upper ontology, the Basic Formal Ontology (BFO) model is adopted. Based on BFO, an event-based ontology for historical description (EOHD) is designed. To define events, event-related vocabularies are taken from the Library of Congress’ event types (2012). The three types of history and six kinds of changes are defined.

Findings

The EOHD model demonstrates how to apply the event ontology to biographical sketches of a creator history to link event types.

Research limitations/implications

The EOHD model has great potential to be further expanded to specific events and entities through different types of history in a full set of historical documents.

Originality/value

The EOHD provides a framework for modeling and semantically reforming the relationships of historical documents, which can make historical collections more explicitly connected in Web environments.

Details

Digital Library Perspectives, vol. 34 no. 4
Type: Research Article
ISSN: 2059-5816

Keywords

Article
Publication date: 30 July 2019

Andrew Iliadis

Applied computational ontologies (ACOs) are increasingly used in data science domains to produce semantic enhancement and interoperability among divergent data. The purpose of…

Abstract

Purpose

Applied computational ontologies (ACOs) are increasingly used in data science domains to produce semantic enhancement and interoperability among divergent data. The purpose of this paper is to propose and implement a methodology for researching the sociotechnical dimensions of data-driven ontology work, and to show how applied ontologies are communicatively constituted with ethical implications.

Design/methodology/approach

The underlying idea is to use a data assemblage approach for studying ACOs and the methods they use to add semantic complexity to digital data. The author uses a mixed methods approach, providing an analysis of the widely used Basic Formal Ontology (BFO) through digital methods and visualizations, and presents historical research alongside unstructured interview data with leading experts in BFO development.

Findings

The author found that ACOs are products of communal deliberation and decision making across institutions. While ACOs are beneficial for facilitating semantic data interoperability, ACOs may produce unintended effects when semantically enhancing data about social entities and relations. ACOs can have potentially negative consequences for data subjects. Further critical work is needed for understanding how ACOs are applied in contexts like the semantic web, digital platforms, and topic domains. ACOs do not merely reflect social reality through data but are active actors in the social shaping of data.

Originality/value

The paper presents a new approach for studying ACOs, the social impact of ACO work, and describes methods that may be used to produce further applied ontology studies.

Details

Online Information Review, vol. 43 no. 6
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 29 October 2018

Maryam Nowroozi, Mahdieh Mirzabeigi and Hajar Sotudeh

Considering the shortcomings of the ASIS&T Web-based thesaurus in representing concepts and semantic relations, there is a need to use more effective semantic tools, such as…

Abstract

Purpose

Considering the shortcomings of the ASIS&T Web-based thesaurus in representing concepts and semantic relations, there is a need to use more effective semantic tools, such as ontologies. The purpose of this paper is to build a prototype ontology (ASIS&TOnto) based on a Web-based thesaurus.

Design/methodology/approach

The prototype ontology was built based on the ASIS&T Web-based thesaurus by using the methodology developed by Noy and McGuinness (2001) and with the use of Protégé 4.3.3. With regard to the purpose of the study and the massive amount of concepts represented in the ASIS&T thesaurus, the focus of term selection for creating the core source of vocabulary for the prototype ontology was the “searching” area. The knowledge engineering approach (Na and Neoh, 2008) was used to extract concepts and semantic relations. The criterion for extracting semantic relations from each concept pair was one-sentence statement, one-paragraph statement and one-page statement. Finally, the extracted relations were analysed by subject experts.

Findings

Based on the findings of this research, the possibility of using the methodology developed by Noy and McGuinness (2001) for building an ontology based on a Web-based thesaurus in the field of LIS was investigated and the prototype ontology (ASIS&TOnto) was constructed in the area of “searching”.

Practical implications

The primary implication of ASIS&TOnto is aligned with Web 3.0 research where implications of semantic modelling are a priority for community equity of access to information as a basic human right. ASIS&TOnto ends up with an ontology that is comprehensive, at least with respect to expressivity of the current ASIS&T thesaurus user interface definition languages; that is, it can be universal and can be extendable to future user interfaces that do not exist at the moment.

Originality/value

For the first time, a new enriched semantic tool (ASIS&TOnto) was constructed based on the ASIS&T Web-based thesaurus.

Details

The Electronic Library, vol. 36 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

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