The Experts below are selected from a list of 1275 Experts worldwide ranked by ideXlab platform
Qing Li - One of the best experts on this subject based on the ideXlab platform.
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IEEE Pacific Rim Conference on Multimedia - MediaView: A Semantic View Mechanism for Multimedia Modeling
Advances in Multimedia Information Processing — PCM 2002, 2020Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The Semantics of multimedia data, which features context-dependency and media-independency, is of vital importance to multimedia applications but inadequately supported by the state-of-the-art database technology. In this paper, we address this problem by proposing MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View, which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of media Views. The usefulness and elegancy of MediaView are demonstrated by its application in a multi-modal information retrieval system.
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Multimedia Data Modeling Through a Semantic View Mechanism
World Wide Web, 2008Co-Authors: Qing Li, Jianmin ZhaoAbstract:The Semantics of multimedia data, which features context-dependency and media-independency, is of vital importance to multimedia applications but inadequately supported by the state-of-the-art database technology. In this paper, we address this problem by proposing MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modelling construct named media View, which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. Due to the complex ingredients and dynamic application requirements of multimedia databases, it is however difficult for users to define by themselves individual media Views in a top---down fashion. To this end, a unique approach of constructing media Views logically is devised. In addition, a set of user level operators is defined and implemented to accommodate the specialization and generalization relationships among the Views. The usefulness and elegancy of MediaView are demonstrated by its application in a multi-modal information retrieval system.
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Multimedia data modeling through a Semantic View mechanism
World Wide Web, 2008Co-Authors: Qing Li, Jianmin Zhao, Xinzhong ZhuAbstract:The Semantics of multimedia data, which features context-dependency and media-independency, is of vital importance to multimedia applications but inadequately supported by the state-of-the-art database technology. In this paper, we address this problem by proposing MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modelling construct named media View, which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. Due to the complex ingredients and dynamic application requirements of multimedia databases, it is however difficult for users to define by themselves individual media Views in a top-down fashion. To this end, a unique approach of constructing media Views logically is devised. In addition, a set of user level operators is defined and implemented to accommodate the specialization and generalization relationships among the Views. The usefulness and elegancy of MediaView are demonstrated by its application in a multi-modal information retrieval system. © 2008 Springer Science+Business Media, LLC.
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Multi-modal information retrieval with a Semantic View mechanism
19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The explosive growth of multimedia information on the Web in recent years calls for an elegant means to model and manage multimedia content to facilitate Semantic-level access and sharing across diversified applications. From the perspective of retrieval, the Semantics of multimedia data features context-dependency and media-independency; both are inadequately supported by the state-of-the-art data modeling technology. In this paper, we address this problem by advocating MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View (MV), which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of individual MVs, which can be fit into the desired real-life scenarios automatically. The usefulness and elegancy of MediaView are demonstrated by its applications in various (subjective) activities supporting multi-modal retrieval.
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AINA - Multi-modal information retrieval with a Semantic View mechanism
19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The explosive growth of multimedia information on the Web in recent years calls for an elegant means to model and manage multimedia content to facilitate Semantic-level access and sharing across diversified applications. From the perspective of retrieval, the Semantics of multimedia data features context-dependency and media-independency; both are inadequately supported by the state-of-the-art data modeling technology. In this paper, we address this problem by advocating MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View (MV), which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of individual MVs, which can be fit into the desired real-life scenarios automatically. The usefulness and elegancy of MediaView are demonstrated by its applications in various (subjective) activities supporting multi-modal retrieval.
Yueting Zhuang - One of the best experts on this subject based on the ideXlab platform.
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IEEE Pacific Rim Conference on Multimedia - MediaView: A Semantic View Mechanism for Multimedia Modeling
Advances in Multimedia Information Processing — PCM 2002, 2020Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The Semantics of multimedia data, which features context-dependency and media-independency, is of vital importance to multimedia applications but inadequately supported by the state-of-the-art database technology. In this paper, we address this problem by proposing MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View, which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of media Views. The usefulness and elegancy of MediaView are demonstrated by its application in a multi-modal information retrieval system.
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Multi-modal information retrieval with a Semantic View mechanism
19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The explosive growth of multimedia information on the Web in recent years calls for an elegant means to model and manage multimedia content to facilitate Semantic-level access and sharing across diversified applications. From the perspective of retrieval, the Semantics of multimedia data features context-dependency and media-independency; both are inadequately supported by the state-of-the-art data modeling technology. In this paper, we address this problem by advocating MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View (MV), which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of individual MVs, which can be fit into the desired real-life scenarios automatically. The usefulness and elegancy of MediaView are demonstrated by its applications in various (subjective) activities supporting multi-modal retrieval.
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AINA - Multi-modal information retrieval with a Semantic View mechanism
19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), 2005Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The explosive growth of multimedia information on the Web in recent years calls for an elegant means to model and manage multimedia content to facilitate Semantic-level access and sharing across diversified applications. From the perspective of retrieval, the Semantics of multimedia data features context-dependency and media-independency; both are inadequately supported by the state-of-the-art data modeling technology. In this paper, we address this problem by advocating MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View (MV), which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of individual MVs, which can be fit into the desired real-life scenarios automatically. The usefulness and elegancy of MediaView are demonstrated by its applications in various (subjective) activities supporting multi-modal retrieval.
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mediaView a Semantic View mechanism for multimedia modeling
Pacific Rim Conference on Multimedia, 2002Co-Authors: Qing Li, Jun Yang, Yueting ZhuangAbstract:The Semantics of multimedia data, which features context-dependency and media-independency, is of vital importance to multimedia applications but inadequately supported by the state-of-the-art database technology. In this paper, we address this problem by proposing MediaView as an extended object-oriented View mechanism to bridge the "Semantic gap" between conventional databases and Semantics-intensive multimedia applications. This mechanism captures the dynamic Semantics of multimedia using a modeling construct named media View, which formulates a customized context where heterogeneous media objects with similar/related Semantics are characterized by additional properties and user-defined Semantic relationships. View operators are proposed for the manipulation and derivation of media Views. The usefulness and elegancy of MediaView are demonstrated by its application in a multi-modal information retrieval system.
Bas C. Van Fraassen - One of the best experts on this subject based on the ideXlab platform.
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One or Two Gentle Remarks about Hans Halvorson’s Critique of the Semantic View
Philosophy of Science, 2014Co-Authors: Bas C. Van FraassenAbstract:In recent papers Hans Halvorson has offered a critique of the Semantic View of theories, showing that theories may be the same although the corresponding sets of models are different and, conversely, that theories may be different although the corresponding sets of models are the same. This critique will be assessed, first, as it pertains to issues concerning scientific models in the empirical sciences and, second, independent of any concern with empirical science.
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one or two gentle remarks about hans halvorson s critique of the Semantic View
Philosophy of Science, 2014Co-Authors: Bas C. Van FraassenAbstract:In recent papers Hans Halvorson has offered a critique of the Semantic View of theories, showing that theories may be the same although the corresponding sets of models are different and, conversely, that theories may be different although the corresponding sets of models are the same. This critique will be assessed, first, as it pertains to issues concerning scientific models in the empirical sciences and, second, independent of any concern with empirical science.
Dongyan Xu - One of the best experts on this subject based on the ideXlab platform.
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stealthy malware detection and monitoring through vmm based out of the box Semantic View reconstruction
ACM Transactions on Information and System Security, 2010Co-Authors: Xuxian Jiang, Xinyuan Wang, Dongyan XuAbstract:An alarming trend in recent malware incidents is that they are armed with stealthy techniques to detect, evade, and subvert malware detection facilities of the victim. On the defensive side, a fundamental limitation of traditional host-based antimalware systems is that they run inside the very hosts they are protecting (“in-the-box”), making them vulnerable to counter detection and subversion by malware. To address this limitation, recent solutions based on virtual machine (VM) technologies advocate placing the malware detection facilities outside of the protected VM (“out-of-the-box”). However, they gain tamper resistance at the cost of losing the internal Semantic View of the host, which is enjoyed by “in-the-box” approaches. This poses a technical challenge known as the Semantic gap. In this article, we present the design, implementation, and evaluation of VMwatcher—an “out-of-the-box” approach that overcomes the Semantic gap challenge. A new technique called guest View casting is developed to reconstruct internal Semantic Views (e.g., files, processes, and kernel modules) of a VM nonintrusively from the outside. More specifically, the new technique casts Semantic definitions of guest OS data structures and functions on virtual machine monitor (VMM)-level VM states, so that the Semantic View can be reconstructed. Furthermore, we extend guest View casting to reconstruct details of system call events (e.g., the process that makes the system call as well as the system call number, parameters, and return value) in the VM, enriching the Semantic View. With the Semantic gap effectively narrowed, we identify three unique malware detection and monitoring capabilities: (i) View comparison-based malware detection and its demonstration in rootkit detection; (ii) “out-of-the-box” deployment of off-the-shelf anti malware software with improved detection accuracy and tamper-resistance; and (iii) nonintrusive system call monitoring for malware and intrusion behavior observation. We have implemented a proof-of-concept VMwatcher prototype on a number of VMM platforms. Our evaluation experiments with real-world malware, including elusive kernel-level rootkits, demonstrate VMwatcher's practicality and effectiveness.
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Stealthy malware detection and monitoring through VMM-based “out-of-the-box” Semantic View reconstruction
ACM Transactions on Information and System Security, 2010Co-Authors: Xuxian Jiang, Xinyuan Wang, Dongyan XuAbstract:An alarming trend in malware attacks is that they are armed with stealthy techniques to detect, evade, and subvert malware detection facilities of the victim. On the defensive side, a fundamental limitation of traditional host-based anti-malware systems is that they run inside the very hosts they are protecting ("in the box"), making them vulnerable to counter-detection and subversion by malware. To address this limitation, recent solutions based on virtual machine (VM) technologies advocate placing the malware detection facilities outside of the protected VM ("out of the box"). However, they gain tamper resistance at the cost of losing the native, Semantic View of the host which is enjoyed by the "in the box" approach, thus leading to a technical challenge known as the Semantic gap. In this paper, we present the design, implementation, and evaluation of VMwatcher - an "out-of-the-box" approach that overcomes the Semantic gap challenge. A new technique called guest View casting is developed to systematically reconstruct internal Semantic Views (e.g., files, processes, and kernel modules) of a VM from the outside in a non-intrusive manner. Specifically, the new technique casts Semantic definitions of guest OS data structures and functions on virtual machine monitor (VMM)-level VM states, so that the Semantic View can be reconstructed. With the Semantic gap bridged, we identify two unique malware detection capabilities: (1) View comparison-based malware detection and its demonstration in rootkit detection and (2) "out-of-the-box" deployment of host-based anti-malware software with improved detection accuracy and tamper-resistance. We have implemented a proof-of-concept prototype on both Linux and Windows platforms and our experimental results with real-world malware, including elusive kernel-level rootkits, demonstrate its practicality and effectiveness.
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ACM Conference on Computer and Communications Security - Stealthy malware detection through vmm-based "out-of-the-box" Semantic View reconstruction
Proceedings of the 14th ACM conference on Computer and communications security - CCS '07, 2007Co-Authors: Xuxian Jiang, Xinyuan Wang, Dongyan XuAbstract:An alarming trend in malware attacks is that they are armed with stealthy techniques to detect, evade, and subvert malware detection facilities of the victim. On the defensive side, a fundamental limitation of traditional host-based anti-malware systems is that they run inside the very hosts they are protecting ("in the box"), making them vulnerable to counter-detection and subversion by malware. To address this limitation, recent solutions based on virtual machine (VM) technologies advocate placing the malware detection facilities outside of the protected VM ("out of the box"). However, they gain tamper resistance at the cost of losing the native, Semantic View of the host which is enjoyed by the "in the box" approach, thus leading to a technical challenge known as the Semantic gap. In this paper, we present the design, implementation, and evaluation of VMwatcher - an "out-of-the-box" approach that overcomes the Semantic gap challenge. A new technique called guest View casting is developed to systematically reconstruct internal Semantic Views (e.g., files, processes, and kernel modules) of a VM from the outside in a non-intrusive manner. Specifically, the new technique casts Semantic definitions of guest OS data structures and functions on virtual machine monitor (VMM)-level VM states, so that the Semantic View can be reconstructed. With the Semantic gap bridged, we identify two unique malware detection capabilities: (1) View comparison-based malware detection and its demonstration in rootkit detection and (2) "out-of-the-box" deployment of host-based anti-malware software with improved detection accuracy and tamper-resistance. We have implemented a proof-of-concept prototype on both Linux and Windows platforms and our experimental results with real-world malware, including elusive kernel-level rootkits, demonstrate its practicality and effectiveness.
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Stealthy malware detection through vmm-based "out-of-the-box"Semantic View reconstruction
Ccs, 2007Co-Authors: Xuxian Jiang, Xinyuan Wang, Dongyan XuAbstract:An alarming trend in malware attacks is that they are armed with stealthy techniques to detect, evade, and subvert malware detection facilities of the victim. On the defensive side, a fundamental limitation of traditional host-based anti-malware systems is that they run inside the very hosts they are protecting ("in the box"), making them vulnerable to counter-detection and subversion by malware. To address this limitation, recent solutions based on virtual machine (VM) technologies advocate placing the malware detection facilities outside of the protected VM ("out of the box"). However, they gain tamper resistance at the cost of losing the native, Semantic View of the host which is enjoyed by the "in the box" approach, thus leading to a technical challenge known as the Semantic gap. In this paper, we present the design, implementation, and evaluation of VMwatcher - an "out-of-the-box" approach that overcomes the Semantic gap challenge. A new technique called guest View casting is developed to systematically reconstruct internal Semantic Views (e.g., files, processes, and kernel modules) of a VM from the outside in a non-intrusive manner. Specifically, the new technique casts Semantic definitions of guest OS data structures and functions on virtual machine monitor (VMM)-level VM states, so that the Semantic View can be reconstructed. With the Semantic gap bridged, we identify two unique malware detection capabilities: (1) View comparison-based malware detection and its demonstration in rootkit detection and (2) "out-of-the-box" deployment of host-based anti-malware software with improved detection accuracy and tamper-resistance. We have implemented a proof-of-concept prototype on both Linux and Windows platforms and our experimental results with real-world malware, including elusive kernel-level rootkits, demonstrate its practicality and effectiveness.
Eero Hyvonen - One of the best experts on this subject based on the ideXlab platform.
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ontogator a Semantic View based search engine service for web applications
International Semantic Web Conference, 2006Co-Authors: Eetu Makela, Eero Hyvonen, Samppa SaarelaAbstract:View-based search provides a promising paradigm for formulating complex Semantic queries and representing results on the Semantic Web. A challenge for the application of the paradigm is the complexity of providing View-based search services through application programming interfaces (API) and web services. This paper presents a solution on how Semantic View-based search can be provided efficiently through an API or as web service to external applications. The approach has been implemented as the open source tool Ontogator, that has been applied successfully in several practical Semantic portals on the web.
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International Semantic Web Conference - Ontogator — a Semantic View-based search engine service for web applications
Lecture Notes in Computer Science, 2006Co-Authors: Eetu Makela, Eero Hyvonen, Samppa SaarelaAbstract:View-based search provides a promising paradigm for formulating complex Semantic queries and representing results on the Semantic Web. A challenge for the application of the paradigm is the complexity of providing View-based search services through application programming interfaces (API) and web services. This paper presents a solution on how Semantic View-based search can be provided efficiently through an API or as web service to external applications. The approach has been implemented as the open source tool Ontogator, that has been applied successfully in several practical Semantic portals on the web.
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a Semantic View based portal utilizing learning object metadata
2006Co-Authors: Teppo Kansala, Eero HyvonenAbstract:This paper presents a case-study of converting the content of an existing eLearning portal based on the Learning Object Metadata (LOM) format into a Semantic portal. It is shown how the content can be provided for the end-user from different Semantic perspectives (Views) based on a set of ontologies whose concepts are extracted from the original metadata. A Semantic recommender system based on the same ontologies and metadata enhances the system usability further. This recommender system links the learning objects of the portal with each other with short labels that explain to the end-user the reason for the links, which is especially important in the eLearning domain. Furthermore, the system links the material also with the content of another cultural Semantic portal, providing interportal Semantic links. The application, consisting of some 2200 video and audio clips as learning objects, is available on the web where it can be compared with the original portal.
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fuzzy View based Semantic search
Lecture Notes in Computer Science, 2006Co-Authors: Markus Holi, Eero HyvonenAbstract:This paper presents a fuzzy version of the Semantic View-based search paradigm. Our framework contributes to previous work in two ways: First, the fuzzification introduces the notion of relevance to View-based search by enabling the ranking of search results. Second, the framework makes it possible to separate the end-user's Views from content indexer's taxonomies or ontologies. In this way, search queries can be formulated and results organized using intuitive categories that are different from the Semantically complicated indexing concepts. The fuzziness is the result of allowing more accurate weighted annotations and fuzzy mappings between search categories and annotation ontologies. A prototype implementation of the framework is presented and its application to a data set in a Semantic eHealth portal discussed.
