Personnalisation OLAP et SIG : Etude comparative et perspectives de personnalisation SOLAP

Les systèmes SOLAP (spatial online analytical processing) gèrent de grandes quantités de données spatiales permettant leur analyse en ligne. Ces systèmes couplent les fonctionnalités avancées des systèmes OLAP (online analytical processing) et des systèmes d’information géographique (SIG). Afin d’adapter ces systèmes aux besoins et préférences de l’utilisateur, plusieurs travaux se sont intéressés à leur personnalisation. Dans ce papier, nous présentons un cadre conceptuel pour l’évaluation des travaux existants concernant la personnalisation dans les systèmes OLAP et les SIG. En plus, nous détaillons des nouvelles pistes de recherche pour la personnalisation des systèmes SOLAP. SOLAP (spatial online analytical processing) systems store spatial data, and allow online analysis of such data. These systems combine the advanced features of online analytical processing (OLAP) and geographic information systems (GIS). The personalisation of these systems aims at adapting them to users’ needs and preferences. Various studies are interested in the personalisation of OLAP systems and GIS by defining different tools and methods. In this paper, we present a conceptual framework to evaluate existing work dealing with the personalisation of OLAP systems and GIS. In addition, several evaluation criteria are used to identify the existence of trends as well as potential needs for further investigation.

[1]  Arnaud Giacometti,et al.  Recommending Multidimensional Queries , 2009, DaWaK.

[2]  Jiawei Han,et al.  Fundamentals of spatial data warehousing for geographic knowledge discovery , 2001 .

[3]  Cláudio de Souza Baptista,et al.  Towards a logical multidimensional model for spatial data warehousing and OLAP , 2006, DOLAP '06.

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

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

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

[7]  Shi-Kuo Chang,et al.  Iconic Indexing by 2-D Strings , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[9]  Michela Bertolotto,et al.  RecoMap: an interactive and adaptive map-based recommender , 2010, SAC '10.

[10]  Esteban Zimányi,et al.  Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications , 2010 .

[11]  Elsa Negre Quand la recommandation rencontre la personnalisation. Ou comment générer des recommandations (requêtes MDX) en adéquation avec les préférences de l'utilisateur , 2011, Tech. Sci. Informatiques.

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

[13]  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.

[14]  Olivier Teste,et al.  Cold-start recommender system problem within a multidimensional data warehouse , 2013, IEEE 7th International Conference on Research Challenges in Information Science (RCIS).

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

[16]  Pamela J. Wisniewski,et al.  Charting new ground: modeling user behavior in interactive geovisualization , 2008, GIS '08.

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

[18]  Gérard Ligozat,et al.  Reasoning about Cardinal Directions , 1998, J. Vis. Lang. Comput..

[19]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

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

[21]  Cyril Ray,et al.  A Design Process for the Development of an Interactive and Adaptive GIS , 2008, W2GIS.

[22]  Olivier Teste,et al.  A Framework for OLAP Content Personalization , 2010, ADBIS.

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

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

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

[26]  Suh-Yin Lee,et al.  Retrieval of similar pictures on pictorial databases , 1991, Pattern Recognit..

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

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

[29]  Tony Veale,et al.  An Intrinsic Information Content Metric for Semantic Similarity in WordNet , 2004, ECAI.

[30]  Yvan Bédard,et al.  Toward better support for spatial decision making: Defining the characteristics of spatial on-line analytical processing (SOLAP) , 2001 .

[31]  Dimitris Papadias,et al.  Relation-based similarity , 1997, GIS '97.

[32]  Michael Schrefl,et al.  Active data warehouses: complementing OLAP with analysis rules , 2001, Data Knowl. Eng..

[33]  Michela Bertolotto,et al.  Personalization in adaptive and interactive GIS , 2009, Ann. GIS.

[34]  Alexander Budanitsky,et al.  Lexical Semantic Relatedness and Its Application in Natural Language Processing , 1999 .

[35]  Andrew U. Frank,et al.  Qualitative Spatial Reasoning: Cardinal Directions as an Example , 1996, Int. J. Geogr. Inf. Sci..

[36]  Esteban Zimányi,et al.  Spatial Hierarchies and Topological Relationships in the Spatial MultiDimER Model , 2005, BNCOD.

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

[38]  Cyril Ray,et al.  A user context approach for adaptive and distributed GIS , 2007, AGILE Conf..

[39]  Yvan Bédard,et al.  SOLAP technology: Merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data , 2005 .

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

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

[42]  Christian Freksa,et al.  Temporal Reasoning Based on Semi-Intervals , 1992, Artif. Intell..

[43]  Jiawei Han,et al.  Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes , 2000, IEEE Trans. Knowl. Data Eng..

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

[45]  H. Chertkow,et al.  Semantic memory , 2002, Current neurology and neuroscience reports.

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

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