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Semantic Gap

by Christian Schneider, Jonas Pfoh, Claudia Eckert, Struct A, Struct B, Struct C, Struct D, Struct E, Struct F, Struct G , 2012
"... 3 Implementation 4 Conclusion ..."
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3 Implementation 4 Conclusion

Bridging the Semantic Gap

by Tanveer J. Siddiqui
"... Abstract — Content-based image retrieval systems were introduced as an alternative to avoid the need of manual tagging in traditional keyword-based image retrieval systems. However, the representation of image using visual features only involves a loss of information which is referred to as semanti ..."
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to as semantic gap. A number of techniques have been proposed to deal with ‘semantic gap’. This paper reviews existing approaches to handle the well-known ‘semantic gap ’ problem in image retrieval systems with a particular focus to approaches based on text and image fusion.

Bridging the Music Semantic Gap

by Òscar Celma, Perfecto Herrera, Xavier Serra
"... Abstract. In this paper we present the music information plane and the different levels of information extraction that exist in the musical domain. Based on this approach we propose a way to overcome the existing semantic gap in the music field. Our approximation is twofold: we propose a set of musi ..."
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Abstract. In this paper we present the music information plane and the different levels of information extraction that exist in the musical domain. Based on this approach we propose a way to overcome the existing semantic gap in the music field. Our approximation is twofold: we propose a set

The Semantic Gap of Formalized Meaning.”, in

by Sebastian Hellmann - of Lecture Notes in Computer Science , 2010
"... Abstract. Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially improve a wide range of existing approaches by minimizing the underlying problem: The Semantic Gap between fo ..."
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Abstract. Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially improve a wide range of existing approaches by minimizing the underlying problem: The Semantic Gap between

Bridging Semantic Gap

by Pronab Ganguly, Fethi A. Rabhi, Pradeep K. Ray
"... Software interoperation by semantics ensures that the requestor and the provider have a common understanding of the requested information. An example of semantic heterogeneity is the use of synonyms, such as employees or staff, which are used to refer to the same concept in different information sys ..."
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systems. This type of software interoperation includes the semantics of the user queries and of information sources. The bridging gap pattern intends to bridge the semantic gap between the requestor and the provider. 2. Context Semantic incompatibility often occurs when old data or procedures are used

Bridging the Semantic Gap in Multimedia . . .

by Jonathon S. Hare, Patrick A. S. Sinclair, Paul H. Lewis, Kirk Martinez, Peter G. B. Enser, Christine J. Sandom - IN PROC. 3RD EUROPEAN SEMANTIC WEB CONFERENCE, BUDVA , 2006
"... Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways ..."
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Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways

Bridging Semantic Gaps with Migrating Agents

by Susan L. Mabry A, Lubomir F. Bic B
"... This paper professes how the SimAgents[1] migrating agent system bridges semantic gaps, particularly as encountered in modeling and simulation of flows. Sim-Agents provides an underlying execution model true to the domain view of order and structure, thereby providing greater programming ease in a d ..."
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This paper professes how the SimAgents[1] migrating agent system bridges semantic gaps, particularly as encountered in modeling and simulation of flows. Sim-Agents provides an underlying execution model true to the domain view of order and structure, thereby providing greater programming ease in a

The Reality of the Semantic Gap in Image Retrieval

by Presenters Peter, G. B. Enser, Christine J. S, Paul H. Lewis, Jonathon S. Hare , 2006
"... The semantic gap is referred to frequently in papers on image retrieval or multimedia information handling. However, whilst many authors have been happy to make reference to it, few have attempted to characterize the gap in any detail. This tutorial will attempt to rectify this situation by characte ..."
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The semantic gap is referred to frequently in papers on image retrieval or multimedia information handling. However, whilst many authors have been happy to make reference to it, few have attempted to characterize the gap in any detail. This tutorial will attempt to rectify this situation

Bridging the Semantic Gap in Image Retrieval

by Rong Zhao, William I. Grosky - Distributed Multimedia Databases: Techniques and Applications
"... the gap between them is still a huge barrier in front of researchers. Intuitive and heuristic approaches do not provide us with satisfactory performance. Therefore, there is an urgent need of finding the latent correlation between low-level features and high-level concepts and merging them from a di ..."
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different perspective. How to find this new perspective and bridge the gap between visual features and semantic features has been a major challenge in this research field. Our paper addresses these issues. Bridging the Semantic Gap in Image Retrieval 15 INTRODUCTION The emergence of multimedia technology

A LEXICA FAMILY WITH SMALL SEMANTIC GAP

by Jiemin Liu, Qi Tian, Yijuan Lu, Changhu Wang, Lei Zhang, Xiaokang Yang, Shipeng Li
"... Defining a lexicon of high-level concepts is the first step for data collection and model construction in concept-based image retrieval. Differences of semantic gaps among concepts are well worth considering. By measuring consistency in visual space and textual space, concepts with small semantic ga ..."
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Defining a lexicon of high-level concepts is the first step for data collection and model construction in concept-based image retrieval. Differences of semantic gaps among concepts are well worth considering. By measuring consistency in visual space and textual space, concepts with small semantic
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