Gupta, A., Luda scher, B., & Martone, M. E. (2000). Knowledge-based integration of neuroscience data sources. 12th International Conference on Scientific and Statistical Database Management (SSDBM), Berlin: IEEE Computer Society, pp. 39 -- 52.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... and query the system at a conceptual level, many e#orts are being made to develop semantic approaches, including RDF (Resource Description Framework) 2] Knowledge Sharing E#ort [16] Intelligent Integration of Information [15] the Digital Library Initiative [10] and Knowledge based Integration [12, 17]. Several ontology languages have been developed for data and knowledge representation, and reasoning formalism to help data integration from semantic perspective, such as F Logic [12, 17, 18] Ontolingua [11] XOL [4] OIL and DLR [7, 6] But despite some optimistic projections to the contrary, ....

.... Integration of Information [15] the Digital Library Initiative [10] and Knowledge based Integration [12, 17] Several ontology languages have been developed for data and knowledge representation, and reasoning formalism to help data integration from semantic perspective, such as F Logic [12, 17, 18], Ontolingua [11] XOL [4] OIL and DLR [7, 6] But despite some optimistic projections to the contrary, the representation of meaning in anything like the sense that humans use that term, is far beyond current technology. The meaning of a document often involves a deep understanding of its social ....

A. Gupta, B. Ludascher, M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources, 12th Intl. Conference on Scientific and Statistical Database Management (SSDBM), Berlin, Germany, IEEE Computer Society, July, 2000.

.... of semistructured data is emerging to address a specialized segment of the research on DOOD systems [1] In this paper, we report our work on FLORA, a practical DOOD system that has already been successfully used to build a number of sophisticated Webbased information systems, as reported in [13, 19, 26]. By practical we mean a DOOD system that has high expressive power, is built on strong theoretical foundations and o ers competitive performance and convenient software development environment. Work supported in part by a grant from New York State through the program for Strategic ....

A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-based integration of neuroscience data sources. In 12th Intl. Conference on Scientic and Statistical Database Management (SSDBM), Berlin, Germany, July 2000. IEEE Computer Society.

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Gupta, A., Luda scher, B., & Martone, M. E. (2000). Knowledge-based integration of neuroscience data sources. 12th International Conference on Scientific and Statistical Database Management (SSDBM), Berlin: IEEE Computer Society, pp. 39 -- 52.

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A. Gupta, B. Lud ascher, and M. E. Martone. "Knowledge-Based Integration of Neuroscience Data Sources." In Proceedings of the Twelfth International Conference on Scientific and Statistical Database Management (SSDBM),39--52. IEEE Computer Society, 2000.

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Gupta, A., Luda scher, B., & Martone, M. E. (2000). Knowledge-based integration of neuroscience data sources. 12th International Conference on Scientific and Statistical Database Management (SSDBM), Berlin: IEEE Computer Society, pp. 39 -- 52.

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A. Gupta, B. Lud ascher, and M. E. Martone. "Knowledge-Based Integration of Neuroscience Data Sources." In Proceedings of the Twelfth International Conference on Scientific and Statistical Database Management (SSDBM),39--52. IEEE Computer Society, 2000.

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A. Gupta, B. Lud ascher, and M. E. Martone. "Knowledge-Based Integration of Neuroscience Data Sources." In Proceedings of the Twelfth International Conference on Scientific and Statistical Database Management (SSDBM),39--52. IEEE Computer Society, 2000.

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A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. In Intl. Conference on Scientific and Statistical Database Management (SSDBM), 2000.

....is accomplished by defining reconciliation correspondences , specifications that a query rewriter uses to match a conceptual level term to data in di#erent sources. Recently Peim et al. PFPG02] have proposed an extension to the well known TAMBIS system 01] Their approach is similar to ours [GLM00, LGM01] in that a logic based ontology (in their case the ALCQI description logic) interfaces with an object wrapped source. While we use F logic [KLW95] as the internal knowledge representation and query language, their work focuses on how a query on the ontology is transformed to monoid ....

A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. In 12th Intl. Conference on Scientific and Statistical Database Management (SSDBM), pp. 39--52, Berlin, Germany, July 2000. IEEE Computer Society.

....schemas and their data objects are defined as views over the global schema. For query evaluation, the rules have to be inverted or folded (if possible) LRO96,Hal01,GM02] Recently, research has been devoted to the problem of semantic (also called knowledge based or model based) mediation [GLM00,LGM00,LGM01] Semantic mediation adds a few additional considerations to the logical information integration problem as described above. In this scenario, sources not only export their logical schema, but also their conceptual model to the mediator, thus exposing their concepts, roles, ....

....facts and rules that hold in the specific domain of application (or common sense knowledge as for a dictionary [MWK00] and some additional rules that explicitly specify the relationships among the conceptual models of the different sources. In this paper, we continue our prior research [GLM00,LGM00,LGM01] on semantic integration of scientific information, and address the source registration problem. In a state of the art information mediation scenario (semantic or otherwise) it is presumed that all sources, including their schemas, are known before the integrated view is defined. ....

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A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. In Intl. Conference on Scientific and Statistical Database Management (SSDBM), 2000.

....in Modelbased Mediation Amarnath Gupta Bertram Ludscher Maryann E. Martone Xufei Qian Edward Ross Joshua Tran Ilya Zaslavsky San Diego Supercomputer Center University of California San Diego gupta,ludaesch,xqian,eross,trantj,zaslavsk sdsc.edu ( mmartone ncmir.ucsd.edu Introduction In [1,3], we have described the problem of model based mediation (MBM) as an extension of the global as view paradigm of information integration. The need for this extension arises in many application domains where the information sources to be integrated not only differ in their export formats, data ....

A. Gupta, B. Ludscher, M. Martone, "Knowledge-based Integration of Neuroscience Data Sources", 12 th Int. Conf. Scientific and Statistical Database Management Systems, Berlin, 39-52, 2000.

....in Modelbased Mediation Amarnath Gupta Bertram Ludscher Maryann E. Martone Xufei Qian Edward Ross Joshua Tran Ilya Zaslavsky San Diego Supercomputer Center University of California San Diego gupta,ludaesch,xqian,eross,trantj,zaslavsk sdsc.edu ( mmartone ncmir.ucsd.edu Introduction. In [1,3], we have described the problem of model based mediation (MBM) as an extension of the global as view paradigm of information integration. The need for this extension arises in many application domains where the information sources to be integrated not only differ in their export formats, data ....

....rules at the mediator. Integrated views are defined in MBM on top of the exported schemas from the information sources together with the glue knowledge source that ties them together. We have successfully applied the MBM technique to develop the KIND mediator or Neuroscience information sources [1,2,3,4]. To accomplish this, sources in the MBM framework export their conceptual models (CMs) consisting of the logical schema, domain constraints, and object contexts, i.e. formulas that relate their conceptual schema with the global domain knowledge maintained at the mediator. Thus model based ....

A. Gupta, B. Ludscher, M. Martone, "Knowledge-based Integration of Neuroscience Data Sources", 12 th Int. Conf. Scientific and Statistical Database Management Systems, Berlin, 39-52, 2000.

....in a Neuroscience Mediator System Bertram Ludascher Amarnath Gupta Maryann E. Martone z San Diego Supercomputer Center, UCSD fgupta,ludaeschg sdsc.edu z Department of Neurosciences, UCSD mmartone ucsd.edu 1 Overview We present the information mediator prototype called Kind 1 [GLM00] recently developed as part of an integrated Neuroscience workbench project at SDSC UCSD within the NPACI 2 project. The broad goal of the workbench is to serve as an environment where, among other tasks, the Neuroscientist can query a mediator to retrieve information from across a number of ....

A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. In 12th Intl. Conference on Scientific and Statistical Database Management (SSDBM), Berlin, July 2000. IEEE Computer Society.

....mediation engineer only with a tree structured model of the source, i.e. the names and possible nesting structure of XML elements as defined by an XML DTD, but gives no hint on semantic relationships, class structures, not to mention application domain specific constraints. Indeed, as shown in [4, 1, 3], mediation should be lifted to the conceptual level when mediating across complex sources whose data comes from seemingly disjoint worlds , e.g. two neuroscience labs creating information on neurotransmitters and protein distributions, respectively. 1 To this end, we present a mediator ....

....to encode it indirectly say as in Datalog. In particular, the flexible, higher order FL syntax turned out to be extremly useful in the real system. Finally, FL implementations like FLORA [6] are readily available and have been successfully used in an earlier version of our neuroscience mediator [1]. 2 2.2 CM Plug In Mechanism A goal of our extensible architecture is to make the mediator independent of a source s choice of CM formalism (like (E)ER or UML diagrams) for communicating CM schema and data. As a first step, all information (queries, CM signatures and data, mediator wrapper ....

A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. 12th Intl. Conf. on Scientific and Statistical Database Management (SSDBM), July 2000.

.... 8 Last but not least, FL implementations like FLORA [YK00] and FLORID [FLORID] are readily available and have been successfully used in related areas like querying of semistructured data [LHL 98] mediation of Web sources [MHL 99] and in an earlier version of our Neuroscience mediator [GLM00] As the GCM, we use a fragment of FL that can host all standard CM formalisms as logic plugins . Table 1 shows the equivalent FL syntax for the GCM core expressions and a minimial set of FL axioms specifying the reflexive and transitive closure of : and the upward propagation of : ....

A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. Intl. Conf. on Scientific and Statistical Database Management (SSDBM), 2000.

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A. Gupta, B. Ludscher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data 6 Sources. In O. G unther and H.-J. Lenz, editors, 12th International Conference on Scientific and Statistical Database Management (SSDBM 2000.

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A. Gupta, B. Ludascher, and M. E. Martone. Knowledge-Based Integration of Neuroscience Data Sources. In O. Gunther and H.-J. Lenz, editors, 12th International Conference on Scientific and Statistical Database Management (SSDBM 2000), pages 39--52, Berlin, Germany, July 26-28, 2000. IEEE Computer Society.

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A. Gupta, B. Ludascher, and M. E. Martone. KnowledgeBased Integration of Neuroscience Data Sources. In Intl. Conference on Scientific and Statistical Database Management (SSDBM). 2000.

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