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pro vyhledávání: '"Belkhatir, Mohammed"'
Semantic concepts and relations encoded in domain-specific ontologies and other medical semantic resources play a crucial role in deciphering terms in medical queries and documents. The exploitation of these resources for tackling the semantic gap is
Externí odkaz:
http://arxiv.org/abs/2005.08259
Global security concerns have raised a proliferation of video surveillance devices. Intelligent surveillance systems seek to discover possible threats automatically and raise alerts. Being able to identify the surveyed object can help determine its t
Externí odkaz:
http://arxiv.org/abs/2005.02148
Autor:
Fauzi, Fariza, Belkhatir, Mohammed
Publikováno v:
International Journal Human Computer Studies 2010
The contextual information of Web images is investigated to address the issue of enriching their index characterizations with semantic descriptors and therefore bridge the semantic gap (i.e. the gap between the low-level content-based description of
Externí odkaz:
http://arxiv.org/abs/2005.02156
Autor:
Fauzi, Fariza, Belkhatir, Mohammed
The contextual information of Web images is investigated to address the issue of characterizing their content with semantic descriptors and therefore bridge the semantic gap, i.e. the gap between their automated low-level representation in terms of c
Externí odkaz:
http://arxiv.org/abs/2005.02127
In this paper, we propose a linguistically-motivated query expansion framework that recognizes and en-codes significant query constituents that characterize query intent in order to improve retrieval performance. Concepts-of-Interest are recognized a
Externí odkaz:
http://arxiv.org/abs/2004.13481
Publikováno v:
J Intell Inf Syst 2012
The availability of an abundance of knowledge sources has spurred a large amount of effort in the development and enhancement of Information Retrieval techniques. Users information needs are expressed in natural language and successful retrieval is v
Externí odkaz:
http://arxiv.org/abs/2004.11093
Publikováno v:
Knowledge & Information Systems 2018
Poor information retrieval performance has often been attributed to the query-document vocabulary mismatch problem which is defined as the difficulty for human users to formulate precise natural language queries that are in line with the vocabulary o
Externí odkaz:
http://arxiv.org/abs/2004.11083
Autor:
Maree, Mohammed, Belkhatir, Mohammed
Publikováno v:
Journal Intelligent Information Systems 2013
With the development of the Semantic Web technology, the use of ontologies to store and retrieve information covering several domains has increased. However, very few ontologies are able to cope with the ever-growing need of frequently updated semant
Externí odkaz:
http://arxiv.org/abs/2004.11081
The search of information in large text repositories has been plagued by the so-called document-query vocabulary gap, i.e. the semantic discordance between the contents in the stored document entities on the one hand and the human query on the other
Externí odkaz:
http://arxiv.org/abs/2004.10035
Due to several issues arising in the rapidly-expanding Halal industry, among them the production of non-genuine or contaminated products and meats, there is a need to develop effective solutions for ensuring authenticity and quality. This paper propo
Externí odkaz:
http://arxiv.org/abs/2004.09796