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Journal articles on the topic 'Ontology construction'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Zulkipli, Zayanah Zafirah, Ruhaila Maskat, and Noor Hasimah Ibrahim Teo. "A systematic literature review of automatic ontology construction." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 2 (2022): 878–89. https://doi.org/10.11591/ijeecs.v28.i2.pp878-889.

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Ontologies have gotten a lot of interest as a knowledge representation approach in recent years. However, constructing an ontology manually can be a difficult task. The alternative way is to automate the ontology construction, either by performing a semi or fully-automatic approach. In this paper, we will conduct a systematic literature review that will focus on a comparative analysis of different techniques relating to both semi and fullyautomatic ontology construction using several techniques and an automated approach applied. The goal is to identify the distribution, methodology, automated

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Wu, Jun Yun, and Cai Yun Xie. "Research on Ontology Construction Automatically in the Law Field." Applied Mechanics and Materials 303-306 (February 2013): 1585–89. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1585.

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In this information society, the traditional method of ontology construction can’t meet the demand for researchers. Because it’s a difficult task to build ontology by hands. The research of automatical construction of ontology is still in the primary stage, especially in the law field. Considering the above condition, this paper gives a Research on Ontology Construction Automatically in the Law Field; we put forward the method of using LLR formula in the step of term abstraction to improve the precision and applying K-means clustering algorithm to obtain better relations of concepts hierarchy.

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3

Haslanger, Sally. "Ontology and Social Construction." Philosophical Topics 23, no. 2 (1995): 95–125. http://dx.doi.org/10.5840/philtopics19952324.

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Yousfi, Adam, Érik Andrew Poirier, and Daniel Forgues. "A Core Ontology for Whole Life Costing in Construction Projects." Buildings 15, no. 14 (2025): 2381. https://doi.org/10.3390/buildings15142381.

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Construction projects still face persistent barriers to adopting whole life costing (WLC), such as fragmented data, a lack of standardization, and inadequate tools. This study addresses these limitations by proposing a core ontology for WLC, developed using an ontology design science research methodology. The ontology formalizes WLC knowledge based on ISO 15686-5 and incorporates professional insights from surveys and expert focus groups. Implemented in web ontology language (OWL), it models cost categories, temporal aspects, and discounting logic in a machine-interpretable format. The ontolog

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Song, Hua Zhu, Xiao Xue Wang, Lu Xu, and Fan Zhou. "Research on Web Dynamic Ontology Construction Based on Concept Lattice." Applied Mechanics and Materials 411-414 (September 2013): 589–92. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.589.

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Ontology and semantic are very popular in Web, and the construction of Web dynamic ontology has been the problem urgent to be solved. Firstly, the basic framework for constructing Web dynamic ontology is shown. Next, the concept lattice is introduced, based on which the novel method of building Web dynamic ontology is given. It includes constructing the initial ontology, extracting web knowledge, generating the formal contexts, merging formal context, merging concept lattices with ontology-based similarity calculation, transforming the concept lattice to the ontology. At last, the stock inform

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Ahmadi, Hamid, Farideh Azareh, Beheshti Moluksadat Hosseini, and Gholamreza Heydari. "Designing a Semi-Automatic Ontology Construction System Using Word Co-occurrence Analysis and the C-value Method (Case Study: Scientometrics in Iran)." Journal of Information Processing and Management 33, no. 1 (2017): 187–218. https://doi.org/10.5281/zenodo.14002838.

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Ontologies are formal tools for expressing concepts and relationships within a specific domain. In recent years, significant efforts have been made to design methods for learning and automating the ontology construction process. Since an ontology is defined as a set of concepts and their relationships, extracting concepts and the semantic relationships among them is of great importance. Constructing various types of ontologies for different domains and applications is a costly and time-consuming process, and automating this process is a crucial step in addressing that challenge. The lack of fo

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Zafirah Zulkipli, Zayanah, Ruhaila Maskat, and Noor Hasimah Ibrahim Teo. "A systematic literature review of automatic ontology construction." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 2 (2022): 878. http://dx.doi.org/10.11591/ijeecs.v28.i2.pp878-889.

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In recent years, ontologies have received a lot of attention as a knowledge representation technique. Constructing an ontology can be a difficult task for several reasons: it necessitates time-consuming expert work, the classification task is not as simple as it appears, and the incredible speed with which knowledge evolves in the real world forces ontology engineers to constantly update and enrich the generated ontologies with new concepts, terms, and lexicon. However, there are other ways to automate ontology construction, such as semi-automatically, where human intervention is required in o

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Li, Ting Shun, and Ling Na Meng. "Research on the Construction Method of Ontology Knowledge Base in Smart Grid Based on Dynamic Description Logic." Applied Mechanics and Materials 494-495 (February 2014): 1636–39. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1636.

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With the principle of dynamic description logic, which introduces the concept of grid domain ontologys knowledge representation, a system is built that can be shared by each businesses ontology knowledge base in smart grid. First, combine attributive concept language with complements language using dynamic description logic with ALC language to build a smart grid domain ontology. And then use the ontology knowledge to build the final ontology knowledge base that can greatly improve the efficiency of information query and clearly express the basic concepts, properties, processing methods and in

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Li, Ping, and Yong Li. "On Transformation from the Thesaurus into Domain Ontology." Advanced Materials Research 756-759 (September 2013): 2698–704. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2698.

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In order to reduce the workload of constructing domain ontology, this paper proposes a transformation method from thesaurus into domain ontology. We can take building the cereal crops domain ontology as an example to detail narrative of the process of the transformation and to prove the effectiveness of the ontology construction method.

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Joachimiak, Marcin P., Mark A. Miller, J. Harry Caufield, et al. "The Artificial Intelligence Ontology: LLM-Assisted Construction of AI Concept Hierarchies." Applied Ontology 19, no. 4 (2024): 408–18. https://doi.org/10.1177/15705838241304103.

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The Artificial Intelligence Ontology (AIO) is a systematization of artificial intelligence (AI) concepts, methodologies, and their interrelations. Developed via manual curation, with the additional assistance of large language models (LLMs), AIO aims to address the rapidly evolving landscape of AI by providing a comprehensive framework that encompasses both technical and ethical aspects of AI technologies. The primary audience for AIO includes AI researchers, developers, and educators seeking standardized terminology and concepts within the AI domain. We use the term “branches” for classes, an

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Madalli, Devika P., Usashi Chatterjee, and Biswanath Dutta. "An analytical approach to building a core ontology for food." Journal of Documentation 73, no. 1 (2017): 123–44. http://dx.doi.org/10.1108/jd-02-2016-0015.

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PurposeThe purpose of this paper is to demonstrate the construction of a core ontology for food. To construct the core ontology, the authors propose here an approach called, yet another methodology for ontology plus (YAMO+). The goal is to exhibit the construction of a core ontology for a domain, which can be further extended and converted into application ontologies.Design/methodology/approachTo motivate the construction of the core ontology for food, the authors have first articulated a set of application scenarios. The idea is that the constructed core ontology can be used to build applicat

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Lee, In-K., Suk-T. Seo, Hye-C. Jeong, Do-Sam Hwang, and Soon-H. Kwon. "Ontology Construction Process and System." Journal of Korean Institute of Intelligent Systems 16, no. 6 (2006): 721–29. http://dx.doi.org/10.5391/jkiis.2006.16.6.721.

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El-Diraby, Tamer E. "Domain Ontology for Construction Knowledge." Journal of Construction Engineering and Management 139, no. 7 (2013): 768–84. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000646.

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Weng, Sung-Shun, Hsine-Jen Tsai, Shang-Chia Liu, and Cheng-Hsin Hsu. "Ontology construction for information classification." Expert Systems with Applications 31, no. 1 (2006): 1–12. http://dx.doi.org/10.1016/j.eswa.2005.09.007.

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Turk, Žiga. "Construction informatics: Definition and ontology." Advanced Engineering Informatics 20, no. 2 (2006): 187–99. http://dx.doi.org/10.1016/j.aei.2005.10.002.

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Gao, Xiaohui, Yinling Li, Ruiwu Wang, Xueqing Ding, Xin Wang, and Xin Xu. "Ontology-Guided Generation of Mechanized Construction Plan for Power Grid Construction Project." Buildings 14, no. 10 (2024): 3271. http://dx.doi.org/10.3390/buildings14103271.

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Mechanized construction is being fully implemented in the electric power infrastructure domain to ensure construction safety, enhance project quality, and improve efficiency. Traditional methods of designing mechanized construction plans are often inefficient due to their labor-intensive processes and heavy reliance on human expertise. This study introduces and evaluates an ontology-guided system designed to automate mechanized construction planning for power grid projects. The developed ontology effectively models domain-specific knowledge, enabling the semantic integration of data from vario

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Chen, Yue, and Zhiyun Chen. "Research on the key technology of course ontology construction." Journal of Physics: Conference Series 2330, no. 1 (2022): 012012. http://dx.doi.org/10.1088/1742-6596/2330/1/012012.

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Abstract Education Information and smart education is the future trend of education. Education ontology is an important tool and means to realize education information and smart education. In the traditional method, the ontology is basically constructed manually, which will consume huge labor and time costs, and the automatically constructed ontology is often of low quality. The previous semi-automatic construction method is also aimed at the ontology of the subject area. Due to the wide range of subject areas and many concepts, the direct construction requires the cooperation of many people a

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Ghosh, Shiv Shakti, Subhashis Das, and Sunil Kumar Chatterjee. "Human-centric Faceted Approach for Ontology Construction." KNOWLEDGE ORGANIZATION 47, no. 1 (2020): 31–44. http://dx.doi.org/10.5771/0943-7444-2020-1-31.

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In this paper, we propose an ontology building method, called human-centric faceted approach for ontology construction (HCFOC). HCFOC uses the human-centric approach, improvised with the idea of selective dissemination of information (SDI), to deal with context. Further, this ontology construction process makes use of facet analysis and an analytico-synthetic classification approach. This novel fusion contributes to the originality of HCFOC and distinguishes it from other existing ontology construction methodologies. Based on HCFOC, an ontology of the tourism domain has been designed using the

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Shi, Xin. "Construction of Design Process Ontology Database Based on Process Ontology." Applied Mechanics and Materials 263-266 (December 2012): 3352–56. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.3352.

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Based on product design process knowledge reuse, according to the characteristics of ontology knowledge representation, process ontology knowledge representation method is offered. The paper extracts the category of design process, defines and describes the attribute and relationship of these categories. Then, the design process ontology database based on process ontology is constructed. As a result, it supports to achieve the sharing and reusing of design process knowledge.

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CHAN, CHRISTINE W. "FROM KNOWLEDGE MODELING TO ONTOLOGY CONSTRUCTION." International Journal of Software Engineering and Knowledge Engineering 14, no. 06 (2004): 603–24. http://dx.doi.org/10.1142/s0218194004001816.

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This paper presents the Knowledge Modeling System (KMS) and its application. The KMS supports users in formalizing and documenting knowledge elements acquired for development of knowledge-based systems. The system was developed based on a knowledge modeling technique called the Inferential Modeling Technique. It facilitates building an application ontology of a domain by explicitly structuring and formalizing both domain and task knowledge of any industrial problem domain. The system also supports knowledge sharing by converting the ontology into the Extensible Mark-Up Language (XML). The tool

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Bambang, Harjito, Eka Cahyani Denis, and Doewes Afrizal. "An Automatic Approach for Bilingual Tuberculosis Ontology Based on Ontology Design Patterns (ODPs)." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 1 (2018): 282–89. https://doi.org/10.12928/TELKOMNIKA.v16i1.6587.

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Ontology is a representation term used to describe and represent a domain of knowledge. Manually ontology development is currently considered complex, requiring a lot of time and effort. This research was proposed to develop methods to build automatic domain ontology bilingual in Indonesian and English by using corpus and ontology design patterns (ODPs) in tuberculosis disease. In this study, the methods used were to combine ontology learning from text and ontology design patterns to decrease the role of expert knowledge. The methods in this research consist of six stages are term and relation

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AL-Zebari, Adel, Shahab Zebari, and Karwan Jacksi. "Football Ontology Construction using Oriented Programming." Journal of Applied Science and Technology Trends 1, no. 1 (2020): 24–30. http://dx.doi.org/10.38094/jastt1113.

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According to the W3C, the semantic web is the future of the www. The data that is based on the semantic web can be understood by machines and devices. The main component of the semantic web is the ontology, which is known as the backbone of the semantic web. There are many tools used to edit and create an ontology, however, few kinds of research construct an ontology using oriented programming. SPARQL and API OWL are used to access and edit ontologies, though they are not using oriented programming. The main objective of this paper is to build an ontology using oriented programming and allowab

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Jiang, Xue, Ying Liu, Ying Zhang, Zhen Fang, and De Peng Dang. "Research on Construction of Database Domain Ontology." Advanced Materials Research 717 (July 2013): 736–41. http://dx.doi.org/10.4028/www.scientific.net/amr.717.736.

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Domain ontology, which is widely used in knowledge engineering, artificial intelligence and semantic Web domain, describes concepts of the entities and mutual relationships between them. However, there is no existing research on construction of database domain ontology. Domain ontology of database will help to optimize associative knowledge learning in teaching and develop the intelligent tutoring system. It can also maximize domain knowledge sharing and reusing. In this paper, database domain ontology is constructed, and then we achieve the visualization. Finally we also implement the persist

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Seiß, Sebastian, Jan Niklas Lünig, and Jürgen Melzner. "Ontologie zur baubegleitenden Qualitätssicherung/An ontology for inspection planning in construction." Bauingenieur 100, no. 06 (2025): 153–64. https://doi.org/10.37544/0005-6650-2025-06-39.

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Mangelhafte Bauleistungen sind eine dauerhafte Herausforderung, mit der die Bauwirtschaft konfrontiert ist. Dabei ließen sich Fehler in der Bauausführung durch die Anwendung von detaillierten Prüfplänen frühzeitig erkennen oder verhindern. Derzeitige Methoden zur Prüfplanung sind manuell, zeitaufwendig und von individueller Erfahrung abhängig, was zu einer unzureichenden Planung in Form von beschränkten Checklisten führt. Zur Planung und Beschreibung eines projektspezifischen Prüfplans bedarf es diverser heterogener Informationen sowie hinreichendem Prüfplanungswissen. Hierbei müssen individue

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Boldyrev, I. "Ontology of Orthodox Economics: Problems of Construction and Interpretation." Voprosy Ekonomiki, no. 7 (July 20, 2008): 100–111. http://dx.doi.org/10.32609/0042-8736-2008-7-100-111.

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The article justifies the definition of economic ontology (ontology of economics) as a study of the most general features, categories and structure which belong to reality described in economic models. The author distinguishes ontology of science from ontology of economic life (the latter often functions as a substitute for science) and points out that ontology plays a significant role in resolving theoretical debates and in making clear philosophical presuppositions of economic theory. In the case of orthodox theory mathematics and mathematical structures are suggested as formal ontology.

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Gorskis, Henrihs. "SQL Query Construction from Ontology Concept Descriptions." Information Technology and Management Science 21 (December 14, 2018): 81–85. http://dx.doi.org/10.7250/itms-2018-0013.

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Based on the usage of previously proposed database concepts as mapping point to a database in a domain ontology, the present paper describes the process of constructing SQL queries from them. The proposed database concepts allow for the mapping of domain concept to the source of data from a database. The paper describes the process of traversing the class hierarchy in an ontology for gathering these database concepts and constructing the SQL query. The purpose of the constructed SQL query is to obtain data from a database to populate the ontology with instances related to a selected ontology c

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Cahyani, Denis Eka, and Ito Wasito. "Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer’s Disease." Jurnal Ilmu Komputer dan Informasi 10, no. 2 (2017): 59. http://dx.doi.org/10.21609/jiki.v10i2.374.

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An ontology is defined as an explicit specification of a conceptualization, which is an important tool for modeling, sharing and reuse of domain knowledge. However, ontology construction by hand is a complex and a time consuming task. This research presents a fully automatic method to build bilingual domain ontology from text corpora and ontology design patterns (ODPs) in Alzheimer’s disease. This method combines two approaches: ontology learning from texts and matching with ODPs. It consists of six steps: (i) Term & relation extraction (ii) Matching with Alzheimer glossary (iii) Matching

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Sad-Houari, Nawal, Noria Taghezout, and Aissa Nador. "A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH." Journal of Information Science 45, no. 4 (2018): 529–53. http://dx.doi.org/10.1177/0165551518802261.

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The challenges of the development of a suitable ontology scheme in decision-making environment should be taken in conjunction with the exploitation of more recent technologies. It is expected that the use of ontologies will lead to the construction of more intelligent applications, allowing them to work more specifically at a human conceptual level. We propose in this article an approach that analyses the impact of changes in the ontology on business rules in order to detect inconsistencies that may be generated. In addition, the developed tool provides solutions to repair inconsistencies with

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Li, Jian Xin, and Gang Ke. "Object-Oriented Method of Constructing Electric Power System Domain Ontology Based on Protégé." Advanced Materials Research 997 (August 2014): 827–30. http://dx.doi.org/10.4028/www.scientific.net/amr.997.827.

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This paper presents a method for domain ontology of constructing power system based on Protégé . This paper describes how to package Interoperability Portlet into semantic Portlet, then create semantic data association between ontology-based semantic Portlet and using semantic inference rules to realize Portlet interoperability. The main task of this paper is to construct and deploy (service release) ontology, find out the concept of the power of public information model CIM about our project, create an XML format file with tools such as Protégé . This paper will elaborate on the use of object

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Sun, Yi Ming, and Chun Lei Han. "Ontology Construction Research for the Mobile Phones' Reviews on the Internet." Applied Mechanics and Materials 602-605 (August 2014): 3363–66. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3363.

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In order to automatically identify the mobile phones' reviews that the users comment on the mobile phone on the internet and obtain valuable information from the reviews, this paper presents the process of constructing ontology for the mobile phones' reviews and preliminarily establish a domain ontology of the mobile phones' reviews. The ontology construction adopts the Protégé tool and the Seven Steps method of Stanford University research. The ontology can provide convenience for the semantic information mining on Web mobile phones' reviews, and it can provide a new method to effectively m

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Meng, Hao, Yan Ru Zhong, Liu Jing Ji, and Xue Xia. "Ontology Construction on ISO 286 Fit." Applied Mechanics and Materials 103 (September 2011): 338–42. http://dx.doi.org/10.4028/www.scientific.net/amm.103.338.

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It directly affects the functions and economic benefits of products to choose a fit of geometric product components. In order to meet these functions, save the costs and share the information passing during the entire life cycle of products, this paper constructs a priority fit ontology which refers to ISO 286 and the new generation of GPS. Concepts are extracted from the influencing fit factors, such as tolerance grades selection, fit types selection and fit systems selection. Classes are constructed with above concepts in Protégé. A few necessary properties are added to restrict classes of t

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Gillam, Lee, Mariam Tariq, and Khurshid Ahmad. "Terminology and the construction of ontology." Terminology 11, no. 1 (2005): 55–81. http://dx.doi.org/10.1075/term.11.1.04gil.

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This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presented is a hybrid of statistical and linguistic techniques, employing statistical techniques initially to elicit a conceptual hierarchy, which is then aug

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Bravo Contreras, Maricela Claudia, Luis Fernando Hoyos Reyes, and José Alejandro Reyes Ortiz. "Methodology for ontology design and construction." Contaduría y Administración 64, no. 4 (2019): 134. http://dx.doi.org/10.22201/fca.24488410e.2020.2368.

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장인호. "A Study on Tax Ontology Construction." Journal of Korean Library and Information Science Society 44, no. 1 (2013): 385–408. http://dx.doi.org/10.16981/kliss.44.1.201303.385.

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Kathiria, Preeti, and Sukraat Ahluwalia. "A Naive Method For Ontology Construction." International Journal on Soft Computing, Artificial Intelligence and Applications 5, no. 1 (2016): 53–62. http://dx.doi.org/10.5121/ijscai.2016.5106.

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Yadav, Beenu. "Microposts Ontology Construction Via Concept Extraction." International journal of Web & Semantic Technology 3, no. 3 (2012): 105–19. http://dx.doi.org/10.5121/ijwest.2012.3307.

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CHEN, Li-Na, Wei FANG, Hai-Ping SI, and Yong-Sheng CAO. "Ontology Construction of Crop Germplasm Resources." Acta Agronomica Sinica 42, no. 3 (2016): 407. http://dx.doi.org/10.3724/sp.j.1006.2016.00407.

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Pan, Ding, and Di Zhang. "Research on XBRL Domain Ontology Construction." Technology and Investment 07, no. 01 (2016): 8–13. http://dx.doi.org/10.4236/ti.2016.71002.

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Wang, Wen Chao, and Jiang Lu. "Ontology Construction Using Multiple Concept Lattices." Advanced Materials Research 926-930 (May 2014): 1975–78. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1975.

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The paper proposes an ontology construction approach that combines Fuzzy Formal Concept Analysis, Wikipedia and WordNet in a process that constructs multiple concept lattices for sub-domains. Those sub-domains are divided from the target domain. The multiple concept lattices approach can mine concepts and determine relations between concepts automatically, and construct domain ontology accordingly. This approach is suitable for the large domain or complex domain which contains obvious sub-domains.

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Cheng, Xin Dang, Xin Gang Zhang, and Zhi Du Liu. "Course Ontology Construction of E-Learning." Advanced Materials Research 433-440 (January 2012): 339–44. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.339.

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To solve the irregular, poor efficiency and lowly reusable of resource, a structured framework based on the course of e-Learning is proposed. The concept knowledge and assisted learning knowledge are combined with course architecture. Based on this framework, course ontology is built according to the method of software engineering and the idea of reusable is adapted. The class hierarchy and the relationship between class are analyzed, and the course of computer network is combined as an example to create an instance.

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Firat, Yelda, Yilmaz Kilicaslan, and Ozlem Ucar. "Construction of Formal Ontology on Computer." Journal of Higher Education and Science 3, no. 1 (2013): 80. http://dx.doi.org/10.5961/jhes.2013.062.

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Malik, Sonika. "Ontology Based Construction of Bayesian Network." International Journal of Research in Advent Technology 7, no. 12 (2020): 1–7. http://dx.doi.org/10.32622/ijrat.712201907.

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Silalahi, Mesnan. "A Metadesign Approach in Ontology Construction." International Journal of Computer Science and Application 5, no. 2 (2016): 35–43. http://dx.doi.org/10.12783/ijcsa.2016.0502.02.

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Hu, Zhao Qin. "Domain Ontology Construction from Chinese Thesaurus." Advanced Materials Research 753-755 (August 2013): 3209–13. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.3209.

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The traditional thesaurus have rich vocabulary and clear semantic structure which is easy to be extracted concepts and relationships, providing great convenience for ontology building. Chinese thesaurus is a large-scale comprehensive science and technology retrieval tools which has its own characteristics and the vocabulary range includes all fields such as natural science, medicine, agriculture and engineering technology. Domain ontology construction from Chinese Thesaurus need to clear the definition and semantic relation of descriptors, including two important tasks: the core concept select

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Park, Moonseo, Kyung-won Lee, Hyun-soo Lee, Pan Jiayi, and Jungho Yu. "Ontology-based construction knowledge retrieval system." KSCE Journal of Civil Engineering 17, no. 7 (2013): 1654–63. http://dx.doi.org/10.1007/s12205-013-1155-6.

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Jo, Dae Woong, and Myung Ho Kim. "A Study on Legal Ontology Construction." Journal of the Korea Society of Computer and Information 19, no. 11 (2014): 105–13. http://dx.doi.org/10.9708/jksci.2014.19.11.105.

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K�ng, Guido. "Ontology and the construction of systems." Synthese 95, no. 1 (1993): 29–53. http://dx.doi.org/10.1007/bf01064666.

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Song, Jun-feng, Wei-ming Zhang, Wei-dong Xiao, and Da-quan Tang. "Study on battlespace ontology construction approach." International Journal of Intelligent Systems 20, no. 12 (2005): 1219–31. http://dx.doi.org/10.1002/int.20110.

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Zheng, Yuan, Mustafa Khalid Masood, Olli Seppänen, Seppo Törmä, and Antti Aikala. "Ontology-Based Semantic Construction Image Interpretation." Buildings 13, no. 11 (2023): 2812. http://dx.doi.org/10.3390/buildings13112812.

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Image-based techniques have become integral to the construction sector, aiding in project planning, progress monitoring, quality control, and documentation. In this paper, we address two key challenges that limit our ability to fully exploit the potential of images. The first is the “semantic gap” between low-level image features and high-level semantic descriptions. The second is the lack of principled integration between images and other digital systems used in construction, such as construction schedules and building information modeling (BIM). These challenges make it difficult to effectiv

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Saba, Farzaneh, and Yasser Mohamed. "An ontology-driven framework for enhancing reusability of distributed simulation modeling of industrial construction processes." Canadian Journal of Civil Engineering 40, no. 9 (2013): 917–26. http://dx.doi.org/10.1139/cjce-2011-0489.

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This paper describes an ontology-driven framework for developing distributed simulation modeling of construction processes. The research described in the paper is motivated by the necessity of knowledge sharing between distributed simulation modeling collaborators, and reuse and portability challenges in construction simulation models. Our approach addresses these challenges through ontological modeling and linking of construction simulation modeling components including (i) ontology of construction process, (ii) ontology of simulation world view, and (iii) ontology of distributed simulation m

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