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A Comprehensive Guide Through the Italian Database Research Over the Last 25 YearsFrom Data Integration to Big Data Integration

A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years: From Data... [TheBeneventano, DomenicoDatabaseMandreoli, FedericaGroupGuerra, Francesco (DBGroup, www.dbgroup.unimore.it) andSimonini, GiovanniInformationPo, LauraSystemGagliardelli, LucaGroupMagnotta, Luca (ISGroup, www.isgroup.unimore.it) researchVincini, MaurizioactivitiesOrsini, MirkohaveMartoglia, RiccardobeenZhu, SongmainlyBergamaschi, Sonia devoted to the Data Integration Reserach Area. The DBGroup designed and developed the MOMIS data integration system, giving raise to a successful innovative enterprise DataRiver (www.datariver.it), distributing MOMIS as open source. MOMIS provides an integrated access to structured and semistructured data sources and allows a user to pose a single query and to receive a single unified answer. Description Logics, Automatic Annotation of schemata plus clustering techniques constitute the theoretical framework. In the context of data integration, the ISGroup addressed problems related to the management and querying of heterogeneous data sources in large-scale and dynamic scenarios. The reference architectures are the Peer Data Management Systems and its evolutions toward dataspaces. In these contexts, the ISGroup proposed and evaluated effective and efficient mechanisms for network creation with limited information loss and solutions for mapping management query reformulation and processing and query routing. The main issues of data integration have been faced: automatic annotation, mapping discovery, global query processing, provenance, multidimensional Information integration, keyword search, within European and national projects. With the incoming new requirements of integrating open linked data, textual and multimedia data in a big data scenario, the research has been devoted to the Big Data Integration Research Area. In particular, the most relevant achieved research results are: a scalable entity resolution method, a scalable join operator and a tool, LODEX, for automatically extracting metadata from Linked Open Data (LOD) resources and for visual querying formulation on LOD resources. Moreover, in collaboration with DATARIVER, Data Integration was successfully applied to smart e-health.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Comprehensive Guide Through the Italian Database Research Over the Last 25 YearsFrom Data Integration to Big Data Integration

Part of the Studies in Big Data Book Series (volume 31)
Editors: Flesca, Sergio; Greco, Sergio; Masciari, Elio; Saccà, Domenico
Springer Journals — May 31, 2017

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2018
ISBN
978-3-319-61892-0
Pages
43 –59
DOI
10.1007/978-3-319-61893-7_3
Publisher site
See Chapter on Publisher Site

Abstract

[TheBeneventano, DomenicoDatabaseMandreoli, FedericaGroupGuerra, Francesco (DBGroup, www.dbgroup.unimore.it) andSimonini, GiovanniInformationPo, LauraSystemGagliardelli, LucaGroupMagnotta, Luca (ISGroup, www.isgroup.unimore.it) researchVincini, MaurizioactivitiesOrsini, MirkohaveMartoglia, RiccardobeenZhu, SongmainlyBergamaschi, Sonia devoted to the Data Integration Reserach Area. The DBGroup designed and developed the MOMIS data integration system, giving raise to a successful innovative enterprise DataRiver (www.datariver.it), distributing MOMIS as open source. MOMIS provides an integrated access to structured and semistructured data sources and allows a user to pose a single query and to receive a single unified answer. Description Logics, Automatic Annotation of schemata plus clustering techniques constitute the theoretical framework. In the context of data integration, the ISGroup addressed problems related to the management and querying of heterogeneous data sources in large-scale and dynamic scenarios. The reference architectures are the Peer Data Management Systems and its evolutions toward dataspaces. In these contexts, the ISGroup proposed and evaluated effective and efficient mechanisms for network creation with limited information loss and solutions for mapping management query reformulation and processing and query routing. The main issues of data integration have been faced: automatic annotation, mapping discovery, global query processing, provenance, multidimensional Information integration, keyword search, within European and national projects. With the incoming new requirements of integrating open linked data, textual and multimedia data in a big data scenario, the research has been devoted to the Big Data Integration Research Area. In particular, the most relevant achieved research results are: a scalable entity resolution method, a scalable join operator and a tool, LODEX, for automatically extracting metadata from Linked Open Data (LOD) resources and for visual querying formulation on LOD resources. Moreover, in collaboration with DATARIVER, Data Integration was successfully applied to smart e-health.]

Published: May 31, 2017

Keywords: Data Integration; Keyword Query; Link Open Data; Entity Resolution; Data Integration System

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