Abstract
This research aims to introduce our Semantic Linked Data Retrieval Model (SLDRM) which is conceived to perform the traditional Ad-hoc Retrieval task of INEX 2013 Linked Data Track. SLDRM was built based on combining some novel semantic representation models for processing English retrieval queries, and proposed techniques for creating and optimizing queries on Indri search engine to effectively retrieve structured text data. Based on SLDRM, a Semantic Linked Data Retrieval System (SLDRS) was built to assess the performance of SLDRM. The evaluation methods of the INEX 2013 Linked Data Track, based on using standard Ad-hoc search task’s testing topics and two standard scores MRR and TREC MAiP, were used to evaluate the accuracy of SLDRS. The experiments show that MAiP score of our SLDRS is the highest in comparision with all of submitted runs of INEX 2013 Linked Data Track.
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Nguyen, V.B., Nguyen, D.T. (2014). Towards a Semantic Linked Data Retrieval Model. In: Dang, T.K., Wagner, R., Neuhold, E., Takizawa, M., Küng, J., Thoai, N. (eds) Future Data and Security Engineering. FDSE 2014. Lecture Notes in Computer Science, vol 8860. Springer, Cham. https://doi.org/10.1007/978-3-319-12778-1_23
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DOI: https://doi.org/10.1007/978-3-319-12778-1_23
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