Abstract
Nowadays, organizing a repository of documents and resources for learning on a special field as Information Technology, together with search techniques based on domain knowledge or document content is an urgent need in practice of teaching, learning and researching. There have been several works related to methods of organization and search by content. However, the results are still limited and insufficient to meet user’s demand for semantic document retrieval. This paper presents a solution for the organization of a repository that supports semantic representation and processing in search. The proposed solution is a model that shows the integration of components such as an ontology describing domain knowledge, a database of document repository, semantic representation for documents and a file system; with problems, semantic processing techniques and advanced search techniques based on measuring semantic similarity. The solution is applied to build a document retrieval system in the field of Information Technology, with semantic search function serving students, teachers, and manager as well. The application has been implemented, tested at the University of Information Technology, Ho Chi Minh City, Vietnam and has achieved good results.
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Do, V., Huynh, T.T., PhamNguyen, T. (2013). Semantic Representation and Search Techniques for Document Retrieval Systems. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36546-1_49
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DOI: https://doi.org/10.1007/978-3-642-36546-1_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36545-4
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