Abstract
This paper is devoted to a problem of creating a domain information space for information retrieval and reuse in various subject domains. We proposed an ontology-based approach to the collaborative development of the domain information space using personal human cognitive spaces. In framework of the proposed approach an information space ontology was created, an algorithm for generation of the domain information space was developed on the basis of the personal cognitive spaces using the rule-based reasoning over ontology. We considered three scenarios of the information space construction: an individual and collaborative creation of the information space, as well as creation of the new information space on the basis of the existing spaces. Also we presented a software architecture for the construction of domain information space which includes two software applications: web-application for individual and collaborative creation of the domain information space and builder of personal electronic learning collections. The implementation of the developed approach was illustrated by the example of information space construction for the programming languages domain.
The proposed approach is consistent with the concept of Open Science and allows describing the domain structure, combining the distributed open scientific information resources into thematic collections and creating the domain information spaces using these resources.
The ontology-based approach and software tools can be used in the scientific research and learning process for the open educational resources retrieval and reuse, as well as for extending the personal cognitive spaces of learners, teachers and researchers.
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Acknowledgement
This paper presents the results of research carried out under the RFBR grant 15-07-03541 Intelligent support of decision making in management of large scale systems on the base of integration of different types of reasoning on ontological knowledge.
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Anikin, A., Litovkin, D., Kultsova, M., Sarkisova, E. (2016). Ontology-Based Collaborative Development of Domain Information Space for Learning and Scientific Research. In: Ngonga Ngomo, AC., Křemen, P. (eds) Knowledge Engineering and Semantic Web. KESW 2016. Communications in Computer and Information Science, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-45880-9_23
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DOI: https://doi.org/10.1007/978-3-319-45880-9_23
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