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Towards Semantic Geo/BI: A Novel Approach for Semantically Enriching Geo/BI Data with OWL Ontological Layers (OOLAP and ODW) to Enable Semantic Exploration, Analysis and Discovery of Geospatial Business Intelligence Knowledge

Belko Abdoul Aziz Diallo, West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL), Competence Centre, Ouagadougou, Burkina Faso, Aziz Diallo, Frédéric Hubert, Sylvie Daniel
2018 International Journal of Information Engineering and Electronic Business  
Ontology-based semantic annotation: semantic annotation is another method proposed by authors to fill in the semantic gap within BI data. [15] for example proposed to enrich OLAP data cubes by annotating  ...  The same technique is used by [14] to "integrate Goals with Process Warehouse for Business Process Analysis".  ...  We also thank the West African Science Service on Climate Change and Adapted Land Use (WASCAL) where the first author is currently acting as Senior Data Manager and Head of IT.  ... 
doi:10.5815/ijieeb.2018.06.01 fatcat:p6qs6aqddrbxnpgqf6oktzo4zm

Mob-Warehouse: A Semantic Approach for Mobility Analysis with a Trajectory Data Warehouse [chapter]

Ricardo Wagner, José Antonio Fernandes de Macedo, Alessandra Raffaetà, Chiara Renso, Alessandro Roncato, Roberto Trasarti
2014 Lecture Notes in Computer Science  
In this paper, we introduce Mob-Warehouse, a Trajectory Data Warehouse which goes a step further to the state of the art on mobility analysis since it models trajectories enriched with semantics.  ...  The unit of movement is the (spatio-temporal) point endowed with several semantic dimensions including the activity, the transportation means and the mobility patterns.  ...  Conclusion and Future Work We presented Mob-Warehouse, a semantic-enhanced warehouse for trajectories.  ... 
doi:10.1007/978-3-319-14139-8_15 fatcat:ykypeugpzvh4hngidanqtocxhe

OLAPing social media

Nafees Ur Rehman, Andreas Weiler, Marc H. Scholl
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
The capabilities of OLAP are extended by semantic enrichment of the underlying dataset to discover new measures and dimensions for building data cubes and by supporting up-todate analysis of the evolving  ...  The benefits of such an analysis platform are demonstrated by building a data warehouse for a social network of Twitter, dynamically enriching the underlying dataset and enabling multidimensional analysis  ...  However, they used a static medical taxonomy to relate words in a hierarchy.  ... 
doi:10.1145/2492517.2500273 dblp:conf/asunam/RehmanWS13 fatcat:4tyig4m4ozh77d66vjjeyr2ove

Using Ontologies for the Design of Data Warehouses

Jesus Pardillo, Jose Norberto Mazon
2011 International Journal of Database Management Systems  
This work is a starting point for discussing the convenience of using ontologies in data warehouse design.  ...  The aim of this article is to describe several shortcomings of current data warehouse design approaches and discuss the benefit of using ontologies to overcome them.  ...  This taxonomy can also be used for completing aggregation hierarchies, whenever a data warehouse requires a dimension on computer-related topics.  ... 
doi:10.5121/ijdms.2011.3205 fatcat:qu3izwhiofdzliccehbtvg6fc4

Yet Another Multidimensional Model for XML Documents

Maha Azabou, Kais Khrouf, Jamel Feki, Chantal Soulé-Dupuy, Nathalie Vallès
2017 International Journal of Strategic Technology and Applications  
This could not be applied systematically in the data warehouse design. Indeed, a i → a k may be useful according to the semantic of the application domain.  ...  It is composed of the hierarchy: Id_Descriptor < Semantic resource. The Semantic dimension is extracted from an external semantic resource related to the domain of the document set.  ... 
doi:10.4018/ijsita.2017070105 fatcat:qvosvo5m6bbcrefvgabmeq7fgy

Multidimensional Enrichment of Spatial RDF Data for SOLAP – Full Version [article]

Nurefsan Gür, Torben Bach Pedersen, Katja Hose, Mikael Midtgaard
2020 arXiv   pre-print
SOLAP queries over spatial data using SPARQL.  ...  Furthermore, we present and evaluate a wide range of enrichment algorithms and apply them on a non-trivial real-world use case involving governmental open data with complex geometry types.  ...  These multi-dimensional semantic modeling approaches and querying with OLAP on the Semantic Web lead us to find ways for modeling, publishing, and querying spatial data warehouses in particular since modeling  ... 
arXiv:2002.06608v1 fatcat:hluzh6svhffjjccqbjif52jayq

Multidimensional enrichment of spatial RDF data for SOLAP

Nurefşan Gür, Torben Bach Pedersen, Katja Hose, Mikael Midtgaard, Boyan Brodaric
2021 Semantic Web Journal  
SOLAP queries over spatial data using SPARQL.  ...  Furthermore, we present and evaluate a wide range of enrichment algorithms and apply them on a non-trivial real-world use case involving governmental open data with complex geometry types.  ...  Acknowledgements This research is partially funded by the European Commission through the Erasmus Mundus Joint Doctorate Information Technologies for Business Intelligence (EM IT4BI-DC), the Danish Council  ... 
doi:10.3233/sw-210423 fatcat:icj6rcryyzczdb54f5fupadwru

SETLBI: An Integrated Platform for Semantic Business Intelligence

Rudra Pratap Deb Nath, Katja Hose, Torben Bach Pedersen, Oscar Romero, Amrit Bhattacharjee
2020 Companion Proceedings of the Web Conference 2020  
Additionally, users can enrich the generated TBox with RDFS and OWL constructs. BACKGROUND AND RELATED WORK Nowadays, the fusion of Semantic Web and Data Warehouse technologies has become popular.  ...  In doing so, we can elegantly define a TBox with essential Data Warehouse concepts, such as cube structures, dimensions, levels, level attributes, OLAP operations, and complex hierarchies.  ... 
doi:10.1145/3366424.3383533 dblp:conf/www/NathHP0B20 fatcat:ej4k656t4jc6hiw5wvgag4c7fq


Nectaria Tryfona, Frank Busborg, Jens G. Borch Christiansen
1999 Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP - DOLAP '99  
Understanding the semantics of these concepts, allow us to build a conceptual model−namely, the starER model−for their efficient handling.  ...  added to support hierarchies.  ...  This work was supported by the Nykredit Coorporation (Denmark).  ... 
doi:10.1145/319757.319776 dblp:conf/dolap/TryfonaBC99 fatcat:xebxfecmlrdypk6buiuhvxai3q

ETL4Social-Data: Modeling Approach for Topic Hierarchy

Afef Walha, Faiza Ghozzi, Faïez Gargouri
2017 Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  
A key role in the analysis of textual data is also played by topics, meant as specific concepts of interest within a subject area.  ...  Integrating such data into Social Data Warehouse (SDW) is in charge of ETL (Extraction, Transformation and Loading) which are the typical processes recognized as a complex combination of operations and  ...  A tweet object stores several data fields that can be assigned directly or by semantic enrichment as fact/measures, dimensions or dimensional hierarchies.  ... 
doi:10.5220/0006588901070118 dblp:conf/ic3k/WalhaGG17 fatcat:tis2f6pfavhslls4mzoaunpdcq

DC Proposal: Online Analytical Processing of Statistical Linked Data [chapter]

Benedikt Kämpgen
2011 Lecture Notes in Computer Science  
To automatically, flexibly, and scalable integrate statistical Linked Data for expressive and reliable analysis, we propose to use expressive Semantic Web ontologies to build and evolve a well-interlinked  ...  conceptual model of statistical data for Online Analytical Processing.  ...  At the moment, most Dimensions only have one Hierarchy and Level, represented by rdfs:label from the Dimension Value.  ... 
doi:10.1007/978-3-642-25093-4_22 fatcat:4ahg6n73erd3lauji7hd45n5pi

Innovative Approaches for efficiently Warehousing Complex Data from the Web [article]

Fadila Bentayeb, Hadj Mahboubi, Cécile Favre, Omar Boussaïd
2017 arXiv   pre-print
data warehouses, (2) associating data mining to OLAP to allow elaborated analysis tasks for complex data and (3) schema evolution in complex data warehouses for personalized analyses.  ...  Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support.  ...  Enriched Data Warehouse Rules are then integrated within the data warehouse model (integration phase) and used to create new levels in the dimension hierarchy (evolution phase).  ... 
arXiv:1701.08643v1 fatcat:2u67xdmvsnfizieie2qtajfmze

Fuzzy Ontology-based Spatial Data Warehouse for Context-aware Search and Recommendation

Hajer Baazaoui-Zghal
2016 Proceedings of the 11th International Joint Conference on Software Technologies  
In addition, contextualized results are considered as key challenges in data warehouses, which are frequently related to only one context.  ...  The need to build a spatial data warehouse over all structured and unstructured data is becoming necessary in many fields.  ...  Recent works proposed to describe data sources by using global and local ontologies, for more semantic data warehouses (Bellatreche et al., 2013) (Cuzzocrea and Simitsis, 2012) .  ... 
doi:10.5220/0006010501610166 dblp:conf/icsoft/Zghal16 fatcat:te2mfuw6mrcz7encsz2j2apfh4

Combining objects with rules to represent aggregation knowledge in data warehouse and OLAP systems

Nicolas Prat, Isabelle Comyn-Wattiau, Jacky Akoka
2011 Data & Knowledge Engineering  
Data warehouses are based on multidimensional modeling. Using On-Line Analytical Processing (OLAP) tools, decision makers navigate through and analyze multidimensional data.  ...  Typically, users need to analyze data at different aggregation levels (using roll-up and drill-down functions).  ...  A data cube is composed of cells and axes. Each axis has a default hierarchy (the default hierarchy used for rollup, as proposed in the Common Warehouse Metamodel [12]).  ... 
doi:10.1016/j.datak.2011.03.004 fatcat:aratzf5zwndd5cw4fg6fjlqcv4

OLAP on Information Networks: A New Framework for Dealing with Bibliographic Data [chapter]

Wararat Jakawat, Cécile Favre, Sabine Loudcher
2014 Advances in Intelligent Systems and Computing  
In the context of decision making, data warehouses support OLAP technology and they have been very useful for efficient analysis onto structured data.  ...  For several years, OLAP is also used to analyze and visualize more complex data. Now, many data sets of interest can be described as a linked collection of interrelated objects.  ...  to enrich this information (such as detecting communities to enrich dimension hierarchies of the data warehouse) ; and (iv) developing appropriate tools (inspired from OLAP navigation process) for visualizing  ... 
doi:10.1007/978-3-319-01863-8_38 fatcat:bwu3omhlo5blxmpbz5i2zld2ua
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