Warehousing and OLAPing Complex, Spatial and Spatio-Temporal Data

Track of the

14th East-European Conference on Advances in Databases and Information Systems (ADBIS 2010)

September 20-24, 2010, Novi Sad, Serbia

Selected papers from the track will be invited for submission to a special issue of

FUNDAMENTA INFORMATICAE
 

IOS Press

 

[Aim and Scope | Conference Location | Submission Guidelines and Instructions | Paper Publication | Important Dates | Program Committee]

ACCEPTED PAPERS

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Aim and Scope

Complex, spatial and spatio-temporal data arise in a plethora of modern database and data mining applications and complex information systems.  Complex, spatial and spatio-temporal data require more and more for effective and efficient models, algorithms and techniques for representing, managing, querying, indexing and discovering useful knowledge beyond such kind of data. A successful solution to issues above consists in applying well-consolidated methodologies coming from the Data Warehousing and OLAP research area. This allows us to take advantages from several nice amenities supported by Data Warehousing and OLAP, such as multidimensional and multi-resolution representation and analysis, multidimensional aggregations, hierarchy-based data representation and mining, complex query answering tools, and so forth. Application fields where Data Warehousing and OLAP over complex, spatial and spatio-temporal data have already demonstrated their success are many-fold. Among these, an unrestricted list is the following one:

  • Warehousing and OLAPing Complex Database Objects;

  • Warehousing and OLAPing  Objects derived from Software Systems;

  • Warehousing and OLAPing Data Streams;

  • Warehousing and OLAPing Sensor Network Data;  

  • Warehousing and OLAPing RFID Data;

  • Warehousing and OLAPing Sequence Data;

  • Warehousing and OLAPing Graph Data;

  • Warehousing and OLAPing Sample Data;

  • Warehousing and OLAPing Text Data;

  • Warehousing and OLAPing Spatial Data;

  • Warehousing and OLAPing GIS Data;

  • Warehousing and OLAPing Temporal Data;

  • Warehousing and OLAPing Multi-Granularity Temporal Data;

  • Warehousing and OLAPing Time Series Data;

  • Warehousing and OLAPing Real-Time Data;

  • Warehousing and OLAPing Trajectory Data;

  • Warehousing and OLAPing Spatio-Temporal Data;

  • Warehousing and OLAPing Multi-Resolution Data;

  • Warehousing and OLAPing Web Data;

  • Warehousing and OLAPing XML Data;

  • Warehousing and OLAPing RDF Data;

  • Warehousing and OLAPing Unstructured Data;

  • Warehousing and OLAPing Semi-Structured Data;

  • Warehousing and OLAPing Ontological Datasets;

  • Warehousing and OLAPing Hierarchical Data;

  • Warehousing and OLAPing Heterogenous-In-Nature Data;

  • Warehousing and OLAPing Scientific Data;

  • Warehousing and OLAPing Microarray Data;

  • Warehousing and OLAPing Biological Data;

  • Warehousing and OLAPing Medical/Clinical Data;

  • Warehousing and OLAPing Statistical Data;

  • Warehousing and OLAPing Financial Data;

  • Warehousing and OLAPing E-Commerce Data;

  • Warehousing and OLAPing Business Process Data;

  • Warehousing and OLAPing Workflow Data;

  • Warehousing and OLAPing Mining Results;

  • Warehousing and OLAPing Probabilistic Data;

  • Warehousing and OLAPing Uncertain and Imprecise Data;

  • Warehousing and OLAPing Distributed Data;

  • Warehousing and OLAPing P2P Data;

  • Warehousing and OLAPing Grid Datasets;

  • Warehousing and OLAPing Cloud Datasets;

  • Warehousing and OLAPing Mobile Data.

As orthogonal to these emerging research contexts, a number of research challenges are capturing the attention of a large community of researchers. Among these, we recall: models, algorithms and techniques for warehousing and OLAPing complex, spatial and spatio-temporal data; ETL approaches for warehousing and OLAPing complex, spatial and spatio-temporal data; data integration approaches for warehousing and OLAPing complex, spatial and spatio-temporal data; data cleaning approaches for warehousing and OLAPing complex, spatial and spatio-temporal data; storage issues of warehousing and OLAPing complex, spatial and spatio-temporal data; privacy-preserving issues of warehousing and OLAPing complex, spatial and spatio-temporal data; models and techniques for representing complex, spatial and spatio-temporal data in warehouse and OLAP environments; models, algorithms and techniques for managing complex, spatial and spatio-temporal data in warehouse and OLAP environments; models, algorithms and techniques for querying complex, spatial and spatio-temporal data in warehouse and OLAP environments; models, algorithms and techniques for indexing complex, spatial and spatio-temporal data in warehouse and OLAP environments; models, algorithms and techniques for mining complex, spatial and spatio-temporal data in warehouse and OLAP environments.    

The Track Warehousing and OLAPing Complex, Spatial and Spatio-Temporal Data of the 14th East-European Conference on Advances in Databases and Information Systems (ADBIS 2010), to be held in Novi Sad, Serbia during September 20-24, 2010 focuses on these aspects, by posing the emphasis on a theoretical as well as a practical point of view, and provides a forum for researchers and practitioners interested in Warehousing and OLAPing complex, spatial and spatio-temporal data to meet and exchange preliminary ideas and mature results. 

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Conference Location

University of Novi Sad, Novi Sad, Serbia.

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Submission Guidelines and Instructions

Contributions are invited from prospective authors with interests in the indicated session topics and related areas of application. All contributions should be high quality, original and not published elsewhere or submitted for publication during the review period.

Submitted papers should strictly follow the instructions to LNCS authors. Maximum regular camera-ready paper length allowed is 5,000 words. Submitted papers will be thoroughly reviewed by members of the Track Program Committee for quality, correctness, originality and relevance. Submitted papers may be accepted as communications in additional local proceedings. Notification and reviews will be communicated via e-mail. All accepted papers must be presented by one of the authors, who must register.

Abstracts (deadline April 19, 2010) should be sent by e-mail (preferably in an enclosed MS Word file) to the Program Chair Alfredo Cuzzocrea at cuzzocrea@si.deis.unical.it. Abstracts must include paper title, abstract, list of keywords, and list of authors with full names and affiliations. One of the authors must be designated as the primary contact point to receive notification and reviews.

Papers (deadline April 23, 2010) should be submitted in PDF or Postscript format by e-mail (preferably in an enclosed MS Word file) to the Program Chair Alfredo Cuzzocrea at cuzzocrea@si.deis.unical.it.

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Paper Publication

Accepted papers will appear in the ADBIS 2010 proceedings, published by Springer in the LNCS series, or in additional local proceedings.

Authors of selected papers from the track will be invited to submit an extended version of their paper to a special issue of Fundamenta Informaticae, IOS Press.

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Important Dates

Abstract submission: April 5, 2010 >>> April 19, 2010
Paper submission: April 10, 2010 >>> April 23, 2010
Notification of acceptance: May 23, 2010
Camera-ready paper due: June 15, 2010
Conference: September 20-24, 2010

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Program Committee Chair

Alfredo Cuzzocrea, ICAR-CNR & University of Calabria, Italy

Program Committee

Alberto Abello, Polytechnical University of Catalunya, Spain
Fabrizio Angiulli, University of Calabria, Italy
Ladjel Bellatreche, ENSMA, France
Antonios Deligiannakis, Technical University of Crete, Greece
Curtis Dyreson, Utah State University, UT, USA
Todd Eavis, Concordia University, Canada
Filippo Furfaro, University of Calabria, Italy
Anne Laurent, LIRMM, France
Jens Lechtenborger, University of Munster, Germany
Jason Li, Drexel University, PA, USA
Pat Martin, Queen's University, Ontario, Canada
Torben Bach Pedersen, Aalborg University, Denmark
Mirek Riedewald, Cornell University, NY, USA
Alkis Simitsis, Stanford University, CA, USA
David Taniar, Monash University, Australia
Panos Vassiliadis, University of Ioannina, Greece
Wei Wang, University of New South Wales, Australia
Robert Wrembel, Poznan University of Technology, Poland
Karine Zeitouni, University of Versailles Saint-Quentin-en-Yvelines, France
Bin Zhou, Simon Fraser University, Canada
Esteban Zimanyi, Université Libre de Bruxelles, Belgium

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For more information and any inquire, please contact Alfredo Cuzzocrea at cuzzocrea@si.deis.unical.it