Reference Ontology

Zemmouchi-Ghomari, Leila; Ghomari, Abdessamed Réda

doi:10.1109/sitis.2009.81

Cited by 13 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to develop a seamless integration system, a reference ontology as part of semantic web technologies can be used to store and represent the differences. Reference ontology is not a new category of ontologies, but is designed to take a global view of many domains by extending and specializing high-level ontologies [78].…”

Section: Semantic Web Technologiesmentioning

confidence: 99%

A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

Liu

Wang

Wright

et al. 2017

IJGI

326

247

View full text Add to dashboard Cite

Abstract:The integration of Building Information Modeling (BIM) and Geographic Information System (GIS) has been identified as a promising but challenging topic to transform information towards the generation of knowledge and intelligence. Achievement of integrating these two concepts and enabling technologies will have a significant impact on solving problems in the civil, building and infrastructure sectors. However, since GIS and BIM were originally developed for different purposes, numerous challenges are being encountered for the integration. To better understand these two different domains, this paper reviews the development and dissimilarities of GIS and BIM, the existing integration methods, and investigates their potential in various applications. This study shows that the integration methods are developed for various reasons and aim to solve different problems. The parameters influencing the choice can be summarized and named as "EEEF" criteria: effectiveness, extensibility, effort, and flexibility. Compared with other methods, semantic web technologies provide a promising and generalized integration solution. However, the biggest challenges of this method are the large efforts required at early stage and the isolated development of ontologies within one particular domain. The isolation problem also applies to other methods. Therefore, openness is the key of the success of BIM and GIS integration.

show abstract

Section: Semantic Web Technologiesmentioning

confidence: 99%

A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

Liu

Wang

Wright

et al. 2017

IJGI

326

247

View full text Add to dashboard Cite

show abstract

“…It describes the communities of the research and other related concepts. In [16], the authors presented Higher Education Reference Ontology (HERO). The work explains the process of building and developing the HERO ontology using the NeOn methodology from the specification of requirements stage to the ontology evaluation stage.…”

Section: Related Workmentioning

confidence: 99%

Find a Research Collaborator: An Ontology-Based Solution to Find the Right Resources for Research Collaboration

Alrehaili,

Aslam,

Alharbi

et al. 2024

ijacsa

View full text Add to dashboard Cite

Researchers in Higher Education (HE) institutions/academia and in industry are continuously engaged in generating new solutions and products for existing and emergent problems. Doing quality research and producing better scientific results depend greatly on solid research teams and scientific collaborators. Research output in HE institutions and industry can be optimized with appropriate resources in research teams and collaborations with suitable research partners. The main challenge in finding suitable resources for joint research projects and scientific collaborations pertains to the availability of data and metadata of researchers and their scientific work in traditional formats, for instance, websites, portals, documents, and traditional databases. However, these traditional data sources do not support intelligent and smart ways of finding and querying the right resources for joint research and scientific collaboration. A possible solution resides in the deployment of Semantic Web (SW) techniques and technologies for representing researcher and their research contribution data in a machine-understandable format, thus ultimately proving useful for smart and intelligent query-answering purposes. In pursuit of this, we present a general Methodology for Ontology Design and Development (MODD). We also describe the use of this methodology to design and develop Higher Education Ontology (HEO). This HEO can be used to automate various activities and processes in HE. In addition, we describe the use and adoption of the HEO through a case study on the topic of "finding the right resources for joint research and scientific collaboration". Finally, we provide an analysis and evaluation of our methodology for posing smart queries and evaluating the results based on machine reasoning.

show abstract

“…Considering the higher education domain in particular, we believe that a dedicated reference ontology for this knowledge area can be regarded as a valuable tool for various stakeholders interested in analyzing the system of higher education as a whole, especially in light of the global diversity of academic systems. Motivated by these and other possible applications, we decided to develop a higher education reference ontology (HERO) [45]. A reference ontology can greatly contribute to addressing, or at least decreasing, the issue of ontology application specificity, and it may offer major advantages over the domain and application ontologies that have been previously employed [46,47].…”

Section: Building Reference Ontology For Higher Educationmentioning

confidence: 99%

Constructing a Multilingual E-Learning Ontology through Web Crawling and Scraping

Barwary,

Jacksi,

Al-Zebari

2023

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

The emergence of digital technologies has transformed the landscape of education, driving the exploration of innovative methods to improve the efficiency and effectiveness of university e- learning. This study focuses on leveraging network management principles in combination with web crawling trends to propose a novel approach: a web crawling and scraping-driven method for constructing a multilingual ontology tailored specifically for university e-learning. The primary goal of this research is to create a comprehensive and continuously updated knowledge repository by systematically gathering and extracting information from a wide range of online sources. By incorporating multilingual capabilities into the proposed ontology, the aim is to transcend language barriers and establish a globally accessible and inclusive e-learning environment. This approach recognizes the intricate relationship between technology and education, highlighting the potential of automated data retrieval and ontology construction in reshaping the future of university e-learning. This research contributes significantly to the rapidly growing field of educational technology by introducing a forward-thinking paradigm. It empowers both educators and learners with a versatile and personalized learning experience that transcends cultural and linguistic boundaries. As the digital era continues to evolve, this approach serves as a beacon of innovation, exemplifying the transformative power of integrating cutting-edge technology with pedagogical efforts. In essence, this study presents a groundbreaking approach to enhance university e- learning by harnessing the capabilities of web crawling, scraping, and multilingual ontology construction. It emphasizes the importance of adapting to the ever-evolving digital landscape to provide an inclusive and accessible education experience for learners worldwide. Ultimately, this research represents a significant step forward in the ongoing effort to revolutionize education through the integration of advanced technology and pedagogical innovation.

show abstract

Reference Ontology

Cited by 13 publications

References 13 publications

A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

A State-of-the-Art Review on the Integration of Building Information Modeling (BIM) and Geographic Information System (GIS)

Find a Research Collaborator: An Ontology-Based Solution to Find the Right Resources for Research Collaboration

Constructing a Multilingual E-Learning Ontology through Web Crawling and Scraping

Contact Info

Product

Resources

About