Ontology-Based Collaborative Development of Domain Information Space for Learning and Scientific Research

被引:5
作者
Anikin, Anton [1 ]
Litovkin, Dmitry [1 ]
Kultsova, Marina [1 ]
Sarkisova, Elena [1 ]
机构
[1] Volgograd State Tech Univ, Volgograd, Russia
来源
KNOWLEDGE ENGINEERING AND SEMANTIC WEB, KESW 2016 | 2016年 / 649卷
关键词
Semantic web; Ontology; OWL-DL; Open Science; Reasoning; Human cognitive space; Information space; Information retrieval; Collaborative knowledge construction; MANAGEMENT; SYSTEM; MODELS;
D O I
10.1007/978-3-319-45880-9_23
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:301 / 315
页数:15
相关论文
共 22 条
  • [11] Ontology-Based Learning Content Management System in Programming Languages Domain
    Kultsova, Marina
    Anikin, Anton
    Zhukova, Irina
    Dvoryankin, Alexander
    [J]. CREATIVITY IN INTELLIGENT TECHNOLOGIES AND DATA SCIENCE, CIT&DS 2015, 2015, 535 : 767 - 777
  • [12] Newby G. B., 1996, P TREC 5 NAT I SCI T
  • [13] Cognitive space and information space
    Newby, GB
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2001, 52 (12): : 1026 - 1048
  • [14] Semantically Enrichable Research Information System SocioNet
    Parinov, Sergey
    Lyapunov, Victor
    Puzyrev, Roman
    Kogalovsky, Mikhail
    [J]. KNOWLEDGE ENGINEERING AND SEMANTIC WEB, KESW 2015, 2015, 518 : 147 - 157
  • [15] Semantic linkages in research information systems as a new data source for scientometric studies
    Parinov, Sergey
    Kogalovsky, Mikhail
    [J]. SCIENTOMETRICS, 2014, 98 (02) : 927 - 943
  • [16] Pound J., 2010, Proceedings of the 19th International Conference on World Wide Web, P771, DOI [DOI 10.1145/1772690.1772769, 10.1145/ 1772690.1772769]
  • [17] Ontology Matching: State of the Art and Future Challenges
    Shvaiko, Pavel
    Euzenat, Jerome
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 25 (01) : 158 - 176
  • [18] The MATHESIS meta-knowledge engineering framework: Ontology-driven development of intelligent tutoring systems
    Sklavakis, Dimitrios
    Refanidis, Ioannis
    [J]. APPLIED ONTOLOGY, 2014, 9 (3-4) : 237 - 265
  • [19] Stock W. G., 2013, HDB INFORM SCI, P901
  • [20] Tarasowa Darya, 2016, Open Data for Education Linked, Shared and Reusable Data for Teaching and Learning. LNCS 9500, P103, DOI 10.1007/978-3-319-30493-9_6