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9th International Conference on Advanced Computing and Communication Technologies (ICACCT)

作者： Sheokand, Vishal Singh, Vikram Natl Inst Technol Dept Comp Engn Kurukshetra 136119 Haryana India

ISBN: (纸本)9789811010231;9789811010217

With the wide use of information expertise in advanced analytics, basically three characteristics of big data have been identified. These are volume, velocity and variety. The first of these two have enjoyed quite a lot of focus, volume of data and velocity of data, less thought has been focused on variety of available data worldwide. data variety refers to the nature of data in store and under processing, which has three orthogonal natures: structured, semi-structured and unstructured. To handle the variety of data, current universally acceptable solutions are either costlier than customized solutions or less efficient to cater data heterogeneity. Thus, a basic idea is to, first design data processing systems that create abstraction that covers a wide range of data types and support fundamental processing on underlying heterogeneous data. In this paper, we conceptualized data management architecture 'Big dataSpace', for big data processing with the capability to combine heterogeneous data from various data sources. Further, we explain how Big dataSpace architecture can help in processing the heterogeneous and distributed data, a fundamental task in data management.

关键词： Big data Mining dataspace system data Intensive Computing data Variety data Volume data integration system

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TPC-DI: The First Industry Benchmark for data integration

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PROCEEDINGS OF THE VLDB ENDOWMENT 2014年第13期7卷 1367-1378页

作者： Poess, Meikel Rabl, Tilmann Jacobsen, Hans-Arno Caufield, Brian Oracle Corp Server Technol Redwood Shores CA 94065 USA Univ Toronto Res Grp Middleware Syst Toronto ON Canada IBM Corp InfoSphere DataStage San Jose CA USA

Historically, the process of synchronizing a decision support system with data from operational systems has been referred to as Extract, Transform, Load (ETL) and the tools supporting such process have been referred to as ETL tools. Recently, ETL was replaced by the more comprehensive acronym, data integration (DI). DI describes the process of extracting and combining data from a variety of data source formats, transforming that data into a unified data model representation and loading it into a data store. This is done in the context of a variety of scenarios, such as data acquisition for business intelligence, analytics and data warehousing, but also synchronization of data between operational applications, data migrations and conversions, master data management, enterprise data sharing and delivery of data services in a service-oriented architecture context, amongst others. With these scenarios relying on up-to-date information it is critical to implement a highly performing, scalable and easy to maintain data integration system. This is especially important as the complexity, variety and volume of data is constantly increasing and performance of data integration systems is becoming very critical. Despite the significance of having a highly performing DI system, there has been no industry standard for measuring and comparing their performance. The TPC, acknowledging this void, has released TPC-DI, an innovative benchmark for data integration. This paper motivates the reasons behind its development, describes its main characteristics including workload, run rules, metric, and explains key decisions.

关键词： Artificial intelligence data acquisition data warehouses Decision support systems Information management Information services Metadata Service oriented architecture (SOA) data integration system Enterprise data Industry benchmarks Industry standards Master data management Model representation Operational applications Operational systems data integration

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Online Ordering of Overlapping data Sources

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PROCEEDINGS OF THE VLDB ENDOWMENT 2013年第3期7卷 133-144页

作者： Salloum, Mariam Dong, Xin Luna Srivastava, Divesh Tsotras, Vassilis J. UC Riverside Riverside CA 92521 USA Google Inc Redwood City CA USA AT&T Labs Res Middletown NJ USA

data integration systems offer a uniform interface for querying a large number of autonomous and heterogeneous data sources. Ideally, answers are returned as sources are queried and the answer list is updated as more answers arrive. Choosing a good ordering in which the sources are queried is critical for increasing the rate at which answers are returned. However, this problem is challenging since we often do not have complete or precise statistics of the sources, such as their coverage and overlap. It is further exacerbated in the Big data era, which is witnessing two trends in Deep-Web data: first, obtaining a full coverage of data in a particular domain often requires extracting data from thousands of sources;second, there is often a big variation in overlap between different data sources. In this paper we present OASIS, an Online query Answering system for overlappIng Sources. OASIS has three key components for source ordering. First, the Overlap Estimation component estimates overlaps between sources according to available statistics under the Maximum Entropy principle. Second, the Source Ordering component orders the sources according to the new contribution they are expected to provide, and adjusts the ordering based on statistics collected during query answering. Third, the Statistics Enrichment component selects critical missing statistics to enrich at runtime. Experimental results on both real and synthetic data show high efficiency and scalability of our algorithm.

关键词： Big data data integration data mining Statistics data integration system Heterogeneous data sources High efficiency Maximum entropy principle Overlapping data Query answering Query answering systems Uniform interface

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Transparent mediation-based access to multiple yeast data sources using an ontology driven interface

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BMC BIOINFORMATICS 2012年第s1期13卷 1-19页

作者： Briache, Abdelaali Marrakchi, Kamar Kerzazi, Amine Navas-Delgado, Ismael Hassani, Badr D. Rossi Lairini, Khalid Aldana-Montes, Jose F. Univ Malaga Higher Tech Sch Comp Sci Engn Dept Comp Languages & Comp Sci E-29071 Malaga Spain Univ Abdelmalek Essaadi Fac Sci & Tech Dept Biol Tangier 90000 Morocco

Background: Saccharomyces cerevisiae is recognized as a model system representing a simple eukaryote whose genome can be easily manipulated. Information solicited by scientists on its biological entities (Proteins, Genes, RNAs...) is scattered within several data sources like SGD, Yeastract, CYGD-MIPS, BioGrid, PhosphoGrid, etc. Because of the heterogeneity of these sources, querying them separately and then manually combining the returned results is a complex and time-consuming task for biologists most of whom are not bioinformatics expert. It also reduces and limits the use that can be made on the available data. Results: To provide transparent and simultaneous access to yeast sources, we have developed YeastMed: an XML and mediator-based system. In this paper, we present our approach in developing this system which takes advantage of SB-KOM to perform the query transformation needed and a set of data Services to reach the integrated data sources. The system is composed of a set of modules that depend heavily on XML and Semantic Web technologies. User queries are expressed in terms of a domain ontology through a simple form-based web interface. Conclusions: YeastMed is the first mediation-based system specific for integrating yeast data sources. It was conceived mainly to help biologists to find simultaneously relevant data from multiple data sources. It has a biologist-friendly interface easy to use. The system is available at http://***/yeastmed/.

关键词： data Warehouse Conjunctive Query Query Plan Biological database data integration system

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A Survey on dataspace

A Survey on Dataspace

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4th International Conference on Network Security and Applications (CNSA 2011)

作者： Singh, Mrityunjay Jain, S. K. Natl Inst Technol Dept Comp Engn Kurukshetra 136119 Haryana India

ISBN: (纸本)9783642225390

In many large/small organization or enterprises, managing the heterogeneity among data at various level has made a challenging task for its management community. In an organization, data may vary from fully structured to completely unstructured. The existing data management systems fail to manage such data in efficient manner. Now, dataspace technology addresses the problem of heterogeneity present in data and solving various shortcomings of the existing systems. This paper presents a survey on dataspace and discusses issues related to the dataspace like system architecture, data modelling, querying and answering techniques, and indexing.

关键词： dataspace data integration system pay-as-you-go data integration PIM mediated schema semantic mappings inverted list

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Rewriting Fuzzy Queries Using Imprecise Views

Rewriting Fuzzy Queries Using Imprecise Views

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15th International Conference on Advances in databases and Information systems

作者： Jaudoin, Helene Pivert, Olivier Univ Rennes 1 Irisa Enssat F-22305 Lannion France

ISBN: (纸本)9783642237362;9783642237379

This paper proposes an approach to the tolerant rewriting of queries in terms of views when the views and the queries may involve fuzzy value constraints in the context of a Local-As-View mediation system. These constraints describe attribute values as a set of elements attached with a degree in [0, 1] that expresses the plausibility attached to a given element, i.e., attribute values more or less plausible/typical in the views, while in the queries, they denotes preferences, i.e., more or less desired values. The problem of rewriting queries is formalized in the setting of the description logic FL0 extended to fuzzy value constraints. We propose an algorithm of gradual and structural subsumption for this extended logic, that plays a key role in the query rewriting algorithm. Finally, we characterize the tolerant query rewriting forms and propose an algorithm to compute them.

关键词： data integration system LAV Approach Fuzzy preferences Imprecise views

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Architecture of a semantic data integration system based on a semantically complete model and a semantically complete query language

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PROGRAMMING AND COMPUTER SOFTWARE 2006年第4期32卷 228-242页

作者： Ovchinnikov, V. V. Lipetsk State Tech Univ Lipetsk Russia

The availability of numerous sources of structured data on the Internet poses the problem of their integration into a unified information space just as the unstructured data and weakly structured data sources are integrated in the framework of the WWW. The main requirement for such an information space is the simplicity of operation for the users that are not trained IT experts. The architecture of a system of semantic integration of distributed and heterogeneous data sources is proposed in the framework of a unified semantic access interface. The semantic nature of this interface lies in the fact that one can interact with such a system in terms of the concepts of the application domain completely ignoring the implementation details of the systems being integrated. The proposed architecture simplifies the users' work, the integration process, and the development of user forms with a rich functionality including a semantic navigation between the forms. A distinctive feature of this architecture is that the system integration and the development of user forms are performed declaratively in the interactive mode without programming. The simplification of the users' work with the system is achieved due to some special properties of the semantically complete model (SCM) and of the semantically complete query language (SCQL), which provide a basis for the system. A prototype of the system under study is briefly described. The prototype is implemented as a type of the client-server technology based on the SCM-SCQL.

关键词： systems integration Semantics Frameworks information space data base language ARCHITECTURE unstructured data Building construction interactive mode data integration system data sources Complete Client-server

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Rank Queries in Probabilistic data integration systems for Digital Library Federation

Rank Queries in Probabilistic Data Integration Systems for D...

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IEEE International Symposium on IT in Medicine and Education

作者： Pan, Peng Li, Qizhong Sun, YuQing Shandong Univ Sch Comp Sci & Technol Jinan Peoples R China

ISBN: (纸本)9781424425105

In digital library federation, a challenge is how to exchange and share information on heterogeneous digital libraries. The mediator-based approach of data integration provide a uniform view by creating the semantic relationship between sources and mediated schema. Since automatic matching produce probabilities, it's necessary to take the probability of mappings into consideration. Further more, for tuples' probabilities arise as an additional ranking dimension, both tuple probabilities and scores be factored in the interpretation of top-k queries in probabilistic databases. In this paper, after proposing a architecture of data integration for DLF, we demonstrate the probabilities for the schema mappings and query answerings. Then, having discussed the opt_U-kRank algorithm, we describe the revised_U-kRank algorithm which may improve the efficiency of execution. Finally, based on the experiment results of two U-kRank algorithms, we discuss the effect of probabilities distribution on executions.

关键词： data integration system data integration digital libraries federations Legal Executions schema

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Evaluating the accuracy of a functional SNP annotation system

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BMC BIOINFORMATICS 2009年第Sup9期10卷 S11-S11页

作者： Shen, Terry H. Carlson, Christopher S. Tarczy-Hornoch, Peter Univ Washington Dept Biomed & Hlth Informat Seattle WA 98195 USA Univ Washington Dept Genome Sci Seattle WA 98195 USA Univ Washington Dept Comp Sci & Engn Seattle WA 98195 USA Univ Washington Dept Pediat Seattle WA 98195 USA Fred Hutchinson Canc Res Ctr Seattle WA 98104 USA

Many common and chronic diseases are influenced at some level by genetic variation. Research done in population genetics, specifically in the area of single nucleotide polymorphisms (SNPs) is critical to understanding human genetic variation. A key element in assessing role of a given SNP is determining if the variation is likely to result in change in function. The SNP integration Tool (SNPit) is a comprehensive tool that integrates diverse, existing predictors of SNP functionality, providing the user with information for improved association study analysis. To evaluate the SNPit system, we developed an alternative gold standard to measure accuracy using sensitivity and specificity. The results of our evaluation demonstrated that our alternative gold standard produced encouraging results.

关键词： data integration system Annotation Category Regulatory SNPs Mediate Schema Public Health Geneticist

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AMMO-Prot: amine system project 3D-model finder

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BMC BIOINFORMATICS 2008年第4期9卷 1-14页

作者： Navas-Delgado, Ismael Montanez, Raul Pino-Angeles, Almudena Moya-Garcia, Aurelio A. Luis Urdiales, Jose Sanchez-Jimenez, Francisca Aldana-Montes, Jose F. Univ Malaga Comp Languages & Comp Sci Dept Malaga 29071 Spain Univ Malaga Dept Biochem & Mol Biol Malaga 29071 Spain Natl Inst Hlth CIBER Rare Dis Malaga 29071 Spain

Background: Amines are biogenic amino acid derivatives, which play pleiotropic and very important yet complex roles in animal physiology. For many other relevant biomolecules, biochemical and molecular data are being accumulated, which need to be integrated in order to be effective in the advance of biological knowledge in the field. For this purpose, a multidisciplinary group has started an ontology-based system named the Amine system Project (ASP) for which amine-related information is the validation bench. Results: In this paper, we describe the Ontology-Based Mediator developed in the Amine system Project (http://***) using the infrastructure of Semantic Directories, and how this system has been used to solve a case related to amine metabolism-related protein structures. Conclusions: This infrastructure is used to publish and manage not only ontologies and their relationships, but also metadata relating to the resources committed with the ontologies. The system developed is available at http://***/WebMediator.

关键词： integration Schema Conjunctive Query Query Plan data integration system Common data Model

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