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Comparison of Semantic-Enhanced Search Services in UPnP-AV Multimedia Systems

Awatif Abudayor and Suntorn Witosurapot
Department of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, Thailand
Abstract—Ubiquitous home multimedia systems can be realized by the use of UPnP-AV standard so that home users can play and share multimedia contents across a wide range of devices from any locations inside the local home network. However, due to the lack of semantic support in the native search service, user queries are merely limited to media-specific properties of audio/video resources in locality. This paper aims to investigate the performance of semantic-based searching mechanisms on the support of user queries with more usability advantages. Based on our simulated data set of enhanced UPnP-AV data with external annotation from the Linked Data cloud, the semantically enhanced search service semantic with indexing search algorithm is far more appropriate than the keyword-based counterpart. Thus, it should be recommended by default, especially in the latest version of UPnP-AV, where the power of new features is utterly driven by the semantic-based content description.

Index Terms—UPnP-AV, RDF, linked data, semantic keyword search, semantic indexing search

Cite: Awatif Abudayor and Suntorn Witosurapot, "Comparison of Semantic-Enhanced Search Services in UPnP-AV Multimedia Systems," Vol. 7, No. 3, pp. 167-170, August, 2016. doi: 10.12720/jait.7.3.167-170
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