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Full-Text Articles in Library and Information Science
Adaptive Modeling Of Workforce Domain Knowledge, Jian Qin, Peter Creticos, Wen-Yuan Hsiao
Adaptive Modeling Of Workforce Domain Knowledge, Jian Qin, Peter Creticos, Wen-Yuan Hsiao
School of Information Studies - Faculty Scholarship
Workforce development is a multidisciplinary domain in which policy, laws and regulations, social services, training and education, and information technology and systems are heavily involved. It is essential to have a semantic base accepted by the workforce development community for knowledge sharing and exchange. This paper describes how such a semantic base—the Workforce Open Knowledge Exchange (WOKE) Ontology—was built by using the adaptive modeling approach. The focus of this paper is to address questions such as how ontology designers should extract and model concepts obtained from different sources and what methodologies are useful along the steps of ontology development. The …
Building Interoperable Vocabulary And Structures For Learning Objects, Jian Qin, Naybell Hernández
Building Interoperable Vocabulary And Structures For Learning Objects, Jian Qin, Naybell Hernández
School of Information Studies - Faculty Scholarship
The structural, functional, and production views on learning objects influence metadata structure and vocabulary. We drew on these views and conducted a literature review and in-depth analysis of 14 learning objects and over 500 components in these learning objects to model the knowledge framework for a learning object ontology. The learning object ontology reported in this paper consists of 8 top-level classes, 28 classes at the second level, and 34 at the third level. Except class Learning object, all other classes have the three properties of preferred term, related term, and synonym. To validate the ontology, we conducted a query …
Converting A Controlled Vocabulary Into An Ontology: The Case Of Gem, Jian Qin, Stephen Paling
Converting A Controlled Vocabulary Into An Ontology: The Case Of Gem, Jian Qin, Stephen Paling
School of Information Studies - Faculty Scholarship
The prevalance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrieval. Ontologies are used as a solution to such issues in many application domains, mainly due to their ability explicitly to specify the semantics and relations and to express them in a computer understandable language. Conventional knowledge organization tools such as classifications and thesauri resemble ontologies in a way that they define concepts and relationships in a systematic manner, but they are less expressive than …