The Experts below are selected from a list of 88581 Experts worldwide ranked by ideXlab platform
Dirk Haase - One of the best experts on this subject based on the ideXlab platform.
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biomoby successfully integrates distributed heterogeneous bioinformatics web services the planet exemplar case
Plant Physiology, 2005Co-Authors: Mark D Wilkinson, Heiko Schoof, Rebecca Ernst, Dirk HaaseAbstract:The burden of noninteroperability between on-line genomic resources is increasingly the rate-limiting step in large-scale genomic analysis. BioMOBY is a biological Web Service interoperability initiative that began as a retreat of representatives from the model organism Database Community in September, 2001. Its long-term goal is to provide a simple, extensible platform through which the myriad of on-line biological Databases and analytical tools can offer their information and analytical services in a fully automated and interoperable way. Of the two branches of the larger BioMOBY project, the Web Services branch (MOBY-S) has now been deployed over several dozen data sources worldwide, revealing some significant observations about the nature of the integrative biology problem; in particular, that Web Service interoperability in the domain of bioinformatics is, unexpectedly, largely a syntactic rather than a semantic problem. That is to say, interoperability between bioinformatics Web Services can be largely achieved simply by specifying the data structures being passed between the services (syntax) even without rich specification of what those data structures mean (semantics). Thus, one barrier of the integrative problem has been overcome with a surprisingly simple solution. Here, we present a nontechnical overview of the critical components that give rise to the interoperable behaviors seen in MOBY-S and discuss an exemplar case, the PlaNet consortium, where MOBY-S has been deployed to integrate the on-line plant genome Databases and analytical services provided by a European consortium of Databases and data service providers.
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biomoby successfully integrates distributed heterogeneous bioinformatics web services the planet exemplar case
Plant Physiology, 2005Co-Authors: Mark D Wilkinson, Heiko Schoof, Rebecca Ernst, Dirk HaaseAbstract:The burden of noninteroperability between on-line genomic resources is increasingly the rate-limiting step in large-scale genomic analysis. BioMOBY is a biological Web Service interoperability initiative that began as a retreat of representatives from the model organism Database Community in September, 2001. Its long-term goal is to provide a simple, extensible platform through which the myriad of on-line biological Databases and analytical tools can offer their information and analytical services in a fully automated and interoperable way. Of the two branches of the larger BioMOBY project, the Web Services branch (MOBY-S) has now been deployed over several dozen data sources worldwide, revealing some significant observations about the nature of the integrative biology problem; in particular, that Web Service interoperability in the domain of bioinformatics is, unexpectedly, largely a syntactic rather than a semantic problem. That is to say, interoperability between bioinformatics Web Services can be largely achieved simply by specifying the data structures being passed between the services (syntax) even without rich specification of what those data structures mean (semantics). Thus, one barrier of the integrative problem has been overcome with a surprisingly simple solution. Here, we present a nontechnical overview of the critical components that give rise to the interoperable behaviors seen in MOBY-S and discuss an exemplar case, the PlaNet consortium, where MOBY-S has been deployed to integrate the on-line plant genome Databases and analytical services provided by a European consortium of Databases and data service providers.
Mark D Wilkinson - One of the best experts on this subject based on the ideXlab platform.
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biomoby successfully integrates distributed heterogeneous bioinformatics web services the planet exemplar case
Plant Physiology, 2005Co-Authors: Mark D Wilkinson, Heiko Schoof, Rebecca Ernst, Dirk HaaseAbstract:The burden of noninteroperability between on-line genomic resources is increasingly the rate-limiting step in large-scale genomic analysis. BioMOBY is a biological Web Service interoperability initiative that began as a retreat of representatives from the model organism Database Community in September, 2001. Its long-term goal is to provide a simple, extensible platform through which the myriad of on-line biological Databases and analytical tools can offer their information and analytical services in a fully automated and interoperable way. Of the two branches of the larger BioMOBY project, the Web Services branch (MOBY-S) has now been deployed over several dozen data sources worldwide, revealing some significant observations about the nature of the integrative biology problem; in particular, that Web Service interoperability in the domain of bioinformatics is, unexpectedly, largely a syntactic rather than a semantic problem. That is to say, interoperability between bioinformatics Web Services can be largely achieved simply by specifying the data structures being passed between the services (syntax) even without rich specification of what those data structures mean (semantics). Thus, one barrier of the integrative problem has been overcome with a surprisingly simple solution. Here, we present a nontechnical overview of the critical components that give rise to the interoperable behaviors seen in MOBY-S and discuss an exemplar case, the PlaNet consortium, where MOBY-S has been deployed to integrate the on-line plant genome Databases and analytical services provided by a European consortium of Databases and data service providers.
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biomoby successfully integrates distributed heterogeneous bioinformatics web services the planet exemplar case
Plant Physiology, 2005Co-Authors: Mark D Wilkinson, Heiko Schoof, Rebecca Ernst, Dirk HaaseAbstract:The burden of noninteroperability between on-line genomic resources is increasingly the rate-limiting step in large-scale genomic analysis. BioMOBY is a biological Web Service interoperability initiative that began as a retreat of representatives from the model organism Database Community in September, 2001. Its long-term goal is to provide a simple, extensible platform through which the myriad of on-line biological Databases and analytical tools can offer their information and analytical services in a fully automated and interoperable way. Of the two branches of the larger BioMOBY project, the Web Services branch (MOBY-S) has now been deployed over several dozen data sources worldwide, revealing some significant observations about the nature of the integrative biology problem; in particular, that Web Service interoperability in the domain of bioinformatics is, unexpectedly, largely a syntactic rather than a semantic problem. That is to say, interoperability between bioinformatics Web Services can be largely achieved simply by specifying the data structures being passed between the services (syntax) even without rich specification of what those data structures mean (semantics). Thus, one barrier of the integrative problem has been overcome with a surprisingly simple solution. Here, we present a nontechnical overview of the critical components that give rise to the interoperable behaviors seen in MOBY-S and discuss an exemplar case, the PlaNet consortium, where MOBY-S has been deployed to integrate the on-line plant genome Databases and analytical services provided by a European consortium of Databases and data service providers.
Elisa Bertino - One of the best experts on this subject based on the ideXlab platform.
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A supermodularity-based differential privacy preserving algorithm for data anonymization
IEEE Transactions on Knowledge and Data Engineering, 2014Co-Authors: Mohamed R. Fouad, Khaled Elbassioni, Elisa BertinoAbstract:Maximizing data usage and minimizing privacy risk are two conflicting\ngoals. Organizations always apply a set of transformations on their data\nbefore releasing it. While determining the best set of transformations\nhas been the focus of extensive work in the Database Community, most of\nthis work suffered from one or both of the following major problems:\nscalability and privacy guarantee. Differential Privacy provides a\ntheoretical formulation for privacy that ensures that the system\nessentially behaves the same way regardless of whether any individual is\nincluded in the Database. In this paper, we address both scalability and\nprivacy risk of data anonymization. We propose a scalable algorithm that\nmeets differential privacy when applying a specific random sampling. The\ncontribution of the paper is two-fold: 1) we propose a personalized\nanonymization technique based on an aggregate formulation and prove that\nit can be implemented in polynomial time; and 2) we show that combining\nthe proposed aggregate formulation with specific sampling gives an\nanonymization algorithm that satisfies differential privacy. Our results\nrely heavily on exploring the supermodularity properties of the risk\nfunction, which allow us to employ techniques from convex optimization.\nThrough experimental studies we compare our proposed algorithm with\nother anonymization schemes in terms of both time and privacy risk.
Adam Oneill - One of the best experts on this subject based on the ideXlab platform.
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order preserving symmetric encryption
IACR Cryptology ePrint Archive, 2012Co-Authors: Alexandra Boldyreva, Nathan Chenette, Younho Lee, Adam OneillAbstract:We initiate the cryptographic study of order-preserving symmetric encryption (OPE), a primitive suggested in the Database Community by Agrawal et al. (SIGMOD ’04) for allowing efficient range queries on encrypted data. Interestingly, we first show that a straightforward relaxation of standard security notions for encryption such as indistinguishability against chosenplaintext attack (IND-CPA) is unachievable by a practical OPE scheme. Instead, we propose a security notion in the spirit of pseudorandom functions (PRFs) and related primitives asking that an OPE scheme look “as-random-as-possible” subject to the order-preserving constraint. We then design an efficient OPE scheme and prove its security under our notion based on pseudorandomness of an underlying blockcipher. Our construction is based on a natural relation we uncover between a random order-preserving function and the hypergeometric probability distribution. In particular, it makes black-box use of an efficient sampling algorithm for the latter. ∗School of Computer Science, Georgia Institute of Technology, 266 Ferst Drive, Atlanta, GA 30332, USA. E-mail: sasha@gatech.edu. †Department of Mathematical Sciences, Clemson University, O-110 Martin Hall, Box 340975, Clemson, SC 29634, USA. E-mail: nchenet@clemson.edu. Most of the work done while at the Georgia Institute of Technology. ‡Department of Information and Communication Engineering Yeungnam University, Republic of Korea. E-mail: younholee@yu.ac.kr. Work done while at the Georgia Institute of Technology. §Department of Computer Science, Boston University, 111 Cummington St., Boston, MA 02215, USA. E-mail: amoneill@bu.edu. Work done while at the Georgia Institute of Technology and University of Texas.
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order preserving symmetric encryption
International Cryptology Conference, 2009Co-Authors: Alexandra Boldyreva, Nathan Chenette, Younho Lee, Adam OneillAbstract:We initiate the cryptographic study of order-preserving symmetric encryption (OPE), a primitive suggested in the Database Community by Agrawal et al. (SIGMOD '04) for allowing efficient range queries on encrypted data. Interestingly, we first show that a straightforward relaxation of standard security notions for encryption such as indistinguishability against chosen-plaintext attack (IND-CPA) is unachievable by a practical OPE scheme. Instead, we propose a security notion in the spirit of pseudorandom functions (PRFs) and related primitives asking that an OPE scheme look "as-random-as-possible" subject to the order-preserving constraint. We then design an efficient OPE scheme and prove its security under our notion based on pseudorandomness of an underlying blockcipher. Our construction is based on a natural relation we uncover between a random order-preserving function and the hypergeometric probability distribution. In particular, it makes black-box use of an efficient sampling algorithm for the latter.
Rebecca Ernst - One of the best experts on this subject based on the ideXlab platform.
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biomoby successfully integrates distributed heterogeneous bioinformatics web services the planet exemplar case
Plant Physiology, 2005Co-Authors: Mark D Wilkinson, Heiko Schoof, Rebecca Ernst, Dirk HaaseAbstract:The burden of noninteroperability between on-line genomic resources is increasingly the rate-limiting step in large-scale genomic analysis. BioMOBY is a biological Web Service interoperability initiative that began as a retreat of representatives from the model organism Database Community in September, 2001. Its long-term goal is to provide a simple, extensible platform through which the myriad of on-line biological Databases and analytical tools can offer their information and analytical services in a fully automated and interoperable way. Of the two branches of the larger BioMOBY project, the Web Services branch (MOBY-S) has now been deployed over several dozen data sources worldwide, revealing some significant observations about the nature of the integrative biology problem; in particular, that Web Service interoperability in the domain of bioinformatics is, unexpectedly, largely a syntactic rather than a semantic problem. That is to say, interoperability between bioinformatics Web Services can be largely achieved simply by specifying the data structures being passed between the services (syntax) even without rich specification of what those data structures mean (semantics). Thus, one barrier of the integrative problem has been overcome with a surprisingly simple solution. Here, we present a nontechnical overview of the critical components that give rise to the interoperable behaviors seen in MOBY-S and discuss an exemplar case, the PlaNet consortium, where MOBY-S has been deployed to integrate the on-line plant genome Databases and analytical services provided by a European consortium of Databases and data service providers.
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biomoby successfully integrates distributed heterogeneous bioinformatics web services the planet exemplar case
Plant Physiology, 2005Co-Authors: Mark D Wilkinson, Heiko Schoof, Rebecca Ernst, Dirk HaaseAbstract:The burden of noninteroperability between on-line genomic resources is increasingly the rate-limiting step in large-scale genomic analysis. BioMOBY is a biological Web Service interoperability initiative that began as a retreat of representatives from the model organism Database Community in September, 2001. Its long-term goal is to provide a simple, extensible platform through which the myriad of on-line biological Databases and analytical tools can offer their information and analytical services in a fully automated and interoperable way. Of the two branches of the larger BioMOBY project, the Web Services branch (MOBY-S) has now been deployed over several dozen data sources worldwide, revealing some significant observations about the nature of the integrative biology problem; in particular, that Web Service interoperability in the domain of bioinformatics is, unexpectedly, largely a syntactic rather than a semantic problem. That is to say, interoperability between bioinformatics Web Services can be largely achieved simply by specifying the data structures being passed between the services (syntax) even without rich specification of what those data structures mean (semantics). Thus, one barrier of the integrative problem has been overcome with a surprisingly simple solution. Here, we present a nontechnical overview of the critical components that give rise to the interoperable behaviors seen in MOBY-S and discuss an exemplar case, the PlaNet consortium, where MOBY-S has been deployed to integrate the on-line plant genome Databases and analytical services provided by a European consortium of Databases and data service providers.
