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Ontology learning for semantic web services [PDF]
, 2009 Semantic Web Services promise automatic service discovery and composition, relying heavily on domain ontology as a core component. With large Web Service repository, manual ontology development is proving a bottleneck (with associated expense and likely ...
Lycett, M, Bell, D, Auhood, A
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Ontology learning for Semantic Web Services [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 18/10/2010.The expansion of Semantic Web Services is restricted by traditional ontology engineering methods. Manual ontology development is time consuming,
Alfaries, Auhood
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MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation
Applied Sciences, 2020 Fundus blood vessel image segmentation plays an important role in the diagnosis and treatment of diseases and is the basis of computer-aided diagnosis.
Hongwei Ding +3 more
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AN OBJECT PROPERTIES FILTER FOR MULTI-MODALITY ONTOLOGY SEMANTIC IMAGE RETRIEVAL
Journal of ICT, 2017 Ontology is a semantic technology that provides the possible approach to bridge the issue on semantic gap in image retrieval between low-level visual features and high-level human semantic.
Mohd Suffian Sulaiman +2 more
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A Domain Adaptive Semantic Segmentation Network Based on Improved Transformation Network
Shanghai Jiaotong Daxue xuebao, 2021 Due to the high cost and time-consumption of artificial semantic tags, domain-based adaptive semantics segmentation is very necessary. For scenes with large gaps or pixels, it is easy to limit model training and reduce the accuracy of semantic ...
ZHANG Junning, SU Qunxing, WANG Cheng, XU Chao, LI Yining
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Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation
IEEE Access, 2019 Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper proposes
Juli Zhang +3 more
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Understanding Heterogeneous EO Datasets: A Framework for Semantic Representations
IEEE Access, 2018 Earth observation (EO) has become a valuable source of comprehensive, reliable, and persistent information for a wide number of applications. However, dealing with the complexity of land cover is sometimes difficult, as the variety of EO sensors reflects
Corina Vaduva +2 more
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Large Scale Integration of Senses for the Semantic Web [PDF]
, 2009 Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues due to the heterogeneity of the available semantic resources.
Jorge Gracia +5 more
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An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
IEEE Access, 2020 Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song +6 more
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A Study of Ontology Convergence in a Semantic Wiki
, 2008 Semantic Wikis propose a combination of both easy collaboration and semantic expressivity; characteristics of the WikiWikiWeb and the Semantic Web respectively. In this paper we look to define and analyse the Semantic Wiki method, in order to explore the
Kousetti, Chrysovalanto +5 more
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