An Approach to Creating Domain Ontologies for Higher Education in Economics

Mesarić, Josip; Dukić, Branimir

doi:10.1109/iti.2007.4283747

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…This ontology helped to solve the problem of taxonomic shortcomings in economics as an academic disciple. Their approach to ontology creation is based on (Mesaric & Dukic, 2007).…”

Section: Relevant Workmentioning

confidence: 99%

Nija-Onto: An ontology of The Nigerian languages version 1

Dahiru,

Lawan

2023

dujopas

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Ontologies are becoming increasingly important as a knowledge-based resource for man and machines. Ontology is a veritable tool in computing for representing and thus preserving, domain knowledge for both human and machine processing. This paper builds a foundational ontology for Nigerian languages. Each language is annotated with its location information showing geo-political zone, states, and places where the Language originates. The ontology of Nigerian languages was built using the Methontology approach and specifically created using the Protégé 5.5.0 OWL editor. The Ontology was built on and evaluated using queries and a set of competency questions. The Nija-Onto was found to strongly align with its purpose of representing domain knowledge and thus provides visualized and highly tractable information on Nigerian languages.

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“…This ontology helped to solve the problem of taxonomic shortcomings in economics as an academic disciple. Their approach to ontology creation is based on (Mesaric & Dukic, 2007).…”

Section: Relevant Workmentioning

confidence: 99%

Nija-Onto: An ontology of The Nigerian languages version 1

Dahiru,

Lawan

2023

dujopas

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“…Domain ontologies represents conceptualizations that are valid only in a specific domain for example education (Labidi & Sergio, 2000;Mesarić & Dukić, 2007), health care (Batet et al, 2011;Castilho et al, 2008), manufacturing (El-Diraby & Osman, 2011) and environmental studies (Ceccaroni et al, 2004;Mercantini & Faucher, 2012). The main aim of domain ontologies is to eradicate the conceptual and terminological misperception amongst members of a specific community, who need to share documents and information (Navigli & Velardi, 2004).…”

Section: Domain Ontologiesmentioning

confidence: 99%

Towards knowledge modeling and manipulation technologies: A survey

Bimba

Al-Hunaiyyan

Mahmud

et al. 2016

International Journal of Information Management

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A system which represents knowledge is normally referred to as a knowledge based system (KBS). This article focuses on surveying publications related to knowledge base modelling and manipulation technologies, between the years 2000-2015. A total of 185 articles excluding the subject descriptive articles which are mentioned in the introductory parts, were evaluated in this survey. The main aim of this study is to identify different knowledge base modelling and manipulation techniques based on 4 categories; 1) linguistic knowledge base; 2) expert knowledge base; 3) ontology and 4) cognitive knowledge base. This led to the proposition of 8 research questions, which focused on the different categories of knowledge base modelling technologies, their underlying theories, knowledge representation technique, knowledge acquisition technique, challenges, applications, development tools and development languages. A part of the findings from this survey is the high dependence of linguistic knowledge base, expert knowledge base and ontology on volatile expert knowledge. A promising technique for knowledge-based business management and other knowledge related applications is also discussed.

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“…It is focused on the college information such as academic departments, academic staffs, students, where they live and so on. Developers already had created some reference ontologies that focus on academic community, for instance HERO ontology (Ghomari, 2013), Univ-Bench ontology (Ghomari, 2013), university ontology (Ghomari, 2013;LG, 2013) and AIISO ontology (LG, 2013;Mesaric and Dukic, 2007). Currently, there are some engines that are based on the concept of semantic such as Kngine (Ramachandran and Sujatha, 2011), Wolfram Alpha (AlphaTeam, 2013) and the most popular engine nowadays Google.…”

Section: Related Workmentioning

confidence: 99%

Casonto

Sayed

Muqrishi

2016

IJWIS

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Purpose The purpose of this paper is to present an efficient and scalable Arabic semantic search engine based on a domain-specific ontological graph for Colleges of Applied Science, Sultanate of Oman (CASOnto). It also supports the factorial question answering and uses two types of searching: the keyword-based search and the semantics-based search in both languages Arabic and English. This engine is built on variety of technologies such as resource description framework data and ontological graph. Furthermore, two experimental results are conducted; the first is a comparison among entity-search and the classical-search in the system itself. The second compares the CASOnto with well-known semantic search engines such as Kngine, Wolfram Alpha and Google to measure their performance and efficiency. Design/methodology/approach The design and implementation of the system comprises the following phases, namely, designing inference, storing, indexing, searching, query processing and the user’s friendly interface, where it is designed based on a specific domain of the IBRI CAS (College of Applied Science) to highlight the academic and nonacademic departments. Furthermore, it is ontological inferred data stored in the tuple data base (TDB) and MySQL to handle the keyword-based search as well as entity-based search. The indexing and searching processes are built based on the Lucene for the keyword search, while TDB is used for the entity search. Query processing is a very important component in the search engines that helps to improve the user’s search results and make the system efficient and scalable. CASOnto handles the Arabic issues such as spelling correction, query completion, stop words’ removal and diacritics removal. It also supports the analysis of the factorial question answering. Findings In this paper, an efficient and scalable Arabic semantic search engine is proposed. The results show that the semantic search that built on the SPARQL is better than the classical search in both simple and complex queries. Clearly, the accuracy of semantic search equals to 100 per cent in both types of queries. On the other hand, the comparison of CASOnto with the Wolfram Alpha, Kngine and Google refers to better results by CASOnto. Consequently, it seems that our proposed engine retrieved better and efficient results than other engines. Thus, it is built according to the ontological domain-specific, highly scalable performance and handles the complex queries well by understanding the context behind the query. Research limitations/implications The proposed engine is built on a specific domain (CAS Ibri – Oman), and in the future vision, it will highlight the nonfactorial question answering and expand the domain of CASOnto to involve more integrated different domains. Originality/value The main contribution of this paper is to build an efficient and scalable Arabic semantic search engine. Because of the widespread use of search engines, a new dimension of challenge is created to keep up with the evolution of the semantic Web. Whereas, catering to the needs of users has become a matter of paramount importance in the light of artificial intelligence and technological development to access the accurate and the efficient information in less possible time. However, the research challenges still in its infancy due to lack of research engine that supports the Arabic language. It could be traced back to the complexity of the Arabic language morphological and grammar rules.

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An Approach to Creating Domain Ontologies for Higher Education in Economics

Cited by 12 publications

References 4 publications

Nija-Onto: An ontology of The Nigerian languages version 1

Nija-Onto: An ontology of The Nigerian languages version 1

Towards knowledge modeling and manipulation technologies: A survey

Casonto

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