Information is said to be valid and knowledgeable only if all the subjects and objects with respect to a particular domain are all arranged in a quantitative manner. To design a semantic information retrieval system, all these subjects and objects with respect to its predicate have to be defined in the given database. This can be done by Ontology Engineering. The main scope of this work is to build an intellectual multimodal semantic search framework, which has the combination of both textual semantic and visual semantics. To support the concept of multimodality, the concept of ontology is used in this research. The domain knowledge of basketball with respect to image and textual modal are integrated into an ontology. This ontology will be the backbone to a semantic search framework. Yet, to refine the search instead of providing crisp data attribute with respect to image feature, fuzzy data sets are provided. A novel procedure needs to be followed to identify the textual and image based feature vector to fill in the fuzzy ontology data attributes.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Information is said to be valid and knowledgeable only if all the subjects and objects with respect to a particular domain are all arranged in a quantitative manner. To design a semantic information retrieval system, all these subjects and objects with respect to its predicate have to be defined in the given database. This can be done by Ontology Engineering. The main scope of this work is to build an intellectual multimodal semantic search framework, which has the combination of both textual semantic and visual semantics. To support the concept of multimodality, the concept of ontology is used in this research. The domain knowledge of basketball with respect to image and textual modal are integrated into an ontology. This ontology will be the backbone to a semantic search framework. Yet, to refine the search instead of providing crisp data attribute with respect to image feature, fuzzy data sets are provided. A novel procedure needs to be followed to identify the textual and image based feature vector to fill in the fuzzy ontology data attributes. 56 pp. Englisch. N° de réf. du vendeur 9786200091857
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Govindan NagarajanDr G Nagarajan is a Professor in the Department of CSE at Sathyabama Institute of Science and Technology, where he has been since 2006. He has totally 20 years of teaching experience in various colleges in India. H. N° de réf. du vendeur 385883971
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Information is said to be valid and knowledgeable only if all the subjects and objects with respect to a particular domain are all arranged in a quantitative manner. To design a semantic information retrieval system, all these subjects and objects with respect to its predicate have to be defined in the given database. This can be done by Ontology Engineering. The main scope of this work is to build an intellectual multimodal semantic search framework, which has the combination of both textual semantic and visual semantics. To support the concept of multimodality, the concept of ontology is used in this research. The domain knowledge of basketball with respect to image and textual modal are integrated into an ontology. This ontology will be the backbone to a semantic search framework. Yet, to refine the search instead of providing crisp data attribute with respect to image feature, fuzzy data sets are provided. A novel procedure needs to be followed to identify the textual and image based feature vector to fill in the fuzzy ontology data attributes. N° de réf. du vendeur 9786200091857
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Information is said to be valid and knowledgeable only if all the subjects and objects with respect to a particular domain are all arranged in a quantitative manner. To design a semantic information retrieval system, all these subjects and objects with respect to its predicate have to be defined in the given database. This can be done by Ontology Engineering. The main scope of this work is to build an intellectual multimodal semantic search framework, which has the combination of both textual semantic and visual semantics. To support the concept of multimodality, the concept of ontology is used in this research. The domain knowledge of basketball with respect to image and textual modal are integrated into an ontology. This ontology will be the backbone to a semantic search framework. Yet, to refine the search instead of providing crisp data attribute with respect to image feature, fuzzy data sets are provided. A novel procedure needs to be followed to identify the textual and image based feature vector to fill in the fuzzy ontology data attributes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. N° de réf. du vendeur 9786200091857
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Taschenbuch. Etat : Neu. A Monograph on Multimodal Semantic Information Retrieval | An Artificial Intelligent Based Ontology Approach | Nagarajan Govindan | Taschenbuch | 56 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200091857 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 116777570
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