Enhancing spatial data warehouse exploitation: A SOLAP recommendation approach

This paper presents a recommendation approach that proposes personalized queries to SOLAP users in order to enhance the exploitation of spatial data warehouses. The approach allows implicit extraction of the preferences and needs of SOLAP users using a spatial-semantic similarity measure between queries of different users. The proposal is defined theoretically and validated by experiments.

[1]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[2]  Irene Garrigós,et al.  A Conceptual Modeling Approach for OLAP Personalization , 2009, ER.

[3]  Matteo Golfarelli,et al.  Expressing OLAP Preferences , 2009, SSDBM.

[4]  Mohamed Salah Gouider,et al.  A New Similairty Measure For Spatial Personalization , 2012, ArXiv.

[5]  Khaled Ghedira,et al.  Theoretical Formulas of Semantic Measure: A Survey , 2013 .

[6]  Irene Garrigós,et al.  A personalization process for spatial data warehouse development , 2012, Decis. Support Syst..

[7]  Mohamed Salah Gouider,et al.  Towards the Next Generation of Data Warehouse Personalization System: A Survey and a Comparative Study , 2012, ArXiv.

[8]  Olivier Teste,et al.  Personalization and OLAP Databases , 2009, New Trends in Data Warehousing and Data Analysis.

[9]  Arnaud Giacometti,et al.  Query Recommendations for OLAP Discovery-Driven Analysis , 2011, Int. J. Data Warehous. Min..

[10]  E. Negre.  Ou comment générer des recommandations (requêtes MDX) en adéquation avec les préférences de l'utilisateur , 2011 .

[11]  Arnaud Giacometti,et al.  A personalization framework for OLAP queries , 2005, DOLAP '05.

[12]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..

[13]  Yvan Bédard,et al.  MGsP: Extending the GsP to Support Semantic Interoperability of Geospatial Datacubes , 2010, ER Workshops.

[14]  Isabelle Tellier,et al.  De la Classification d'Opinion à la Recommandation : l'Apport des Textes Communautaires , 2010 .

[15]  Olivier Teste,et al.  Personnalisation de bases de données multidimensionnelles , 2007, INFORSID.

[16]  Max J. Egenhofer,et al.  Similarity of Spatial Scenes , 1998 .

[17]  Arnaud Giacometti,et al.  Query recommendations for OLAP discovery driven analysis , 2009, DOLAP.

[18]  Olivier Teste,et al.  Personnalisation de Systèmes OLAP annotés , 2010, INFORSID.

[19]  Olivier Teste,et al.  Recommandation de requêtes dans les bases de données multidimensionnelles annotées , 2011, Ingénierie des Systèmes d Inf..

[20]  Frederico T. Fonseca,et al.  TDD - A Comprehensive Model for Qualitative Spatial Similarity Assessment , 2005 .

[21]  Matteo Golfarelli,et al.  Mining Preferences from OLAP Query Logs for Proactive Personalization , 2011, ADBIS.

[22]  Cécile Favre,et al.  A user-driven data warehouse evolution approach for concurrent personalized analysis needs , 2008, Integr. Comput. Aided Eng..

[23]  Arnaud Giacometti,et al.  A framework for recommending OLAP queries , 2008, DOLAP '08.

[24]  Irene Garrigós,et al.  Using web-based personalization on spatial data warehouses , 2010, EDBT '10.

[25]  Max J. Egenhofer,et al.  Similarity of Cardinal Directions , 2001, SSTD.

[26]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[27]  International symposium on spatial data handling , 1984 .

[28]  Alejandro Bellogín,et al.  Precision-oriented evaluation of recommender systems: an algorithmic comparison , 2011, RecSys '11.

[29]  Carsten Sapia,et al.  PROMISE: Predicting Query Behavior to Enable Predictive Caching Strategies for OLAP Systems , 2000, DaWaK.

[30]  Arnaud Giacometti,et al.  Personalization of MDX Queries , 2006, BDA.

[31]  Lamjed Ben Said,et al.  Enhancing Spatial Datacube Exploitation: A Spatio-semantic Similarity Perspective , 2014, ICIST.

[32]  Fadila Bentayeb.  K-Means Based Approach for OLAP Dimension Updates , 2008, ICEIS.

[33]  Matteo Golfarelli,et al.  Preference-based datacube analysis with MYOLAP , 2011, 2011 IEEE 27th International Conference on Data Engineering.

[34]  Jalel Akaichi,et al.  A Novel Approach for a Collaborative Exploration of a Spatial Data Cube , 2014 .

[35]  Cécile Favre,et al.  Evolution et personnalisation des analyses dans les entrepôts de données - Une approche orientée utilisateur , 2007, INFORSID.