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A relevance-extended multi-dimensional model for a data warehouse contextualized with documents

Juan Manuel Pérez, Rafael Berlanga, María José Aramburu, Torben Bach Pedersen
2005 Proceedings of the 8th ACM international workshop on Data warehousing and OLAP - DOLAP  
In this paper we propose to combine the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse.  ...  In this work we extend an existing multi-dimensional data model and algebra for representing the R-cubes.  ...  ACKNOWLEDGEMENTS This work was started during a stay performed by the first author at the Database and Programming Technologies research group at the Department of Computer Science at Aalborg University  ... 
doi:10.1145/1097002.1097007 dblp:conf/dolap/PerezLAP05 fatcat:rv4m2wsajvd7vballhkijtqqpe

Integrating Data Warehouses with Web Data: A Survey

J.M. Perez, R. Berlanga, M.J. Aramburu, T.B. Pedersen
2008 IEEE Transactions on Knowledge and Data Engineering  
This paper surveys the most relevant research on combining Data Warehouse (DW) and Web data.  ...  It also introduces the problem of dealing with semistructured data in a DW.  ...  In the data model, called Warehouse Object Model (WHOM) [46] , a Web warehouse is conceived as a collection of the socalled Web tables.  ... 
doi:10.1109/tkde.2007.190746 fatcat:drcxlccqqfaifcjuzbzspyzlpu

Combining Business Intelligence with Semantic Web : Overview and Challenges

Sébastien Laborie, Franck Ravat, Jiefu Song, Olivier Teste
2015 Congrès INFORSID  
A combination of BI technologies with SW will both enhance BI analysis with web data and allow analyzing SW data through BI tools.  ...  At last, we identify challenges requiring future research efforts to achieve a complete incorporation of BI with SW.  ...  ., 2008) present an architecture of data warehouse contextualized with documents.  ... 
dblp:conf/inforsid/LaborieRST15 fatcat:soimg4dyo5gzvocjwi2dilbr5m

Linking Context to Data Warehouse Design

Aadil Bouchra, Kzaz Larbi, Ait Wakrime, Sekkaki Abderrahim
2019 International Journal of Advanced Computer Science and Applications  
Our proposal consists of a context model and a comprehensive Data Warehouse construction method that attaches the context to data warehouses and uses it to produce customized data marts adapted to the  ...  Data warehouses are now widely used for analysis and decision support purposes.  ...  In [34] , the author combines data warehouse with a document repository to build a contextual data warehouse, which helps to produce Data marts characterized by two dimensions: Relevance and Context.  ... 
doi:10.14569/ijacsa.2019.0100102 fatcat:t5ij47tgz5hddb3agirpqwg4u4

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 this paper, we propose a fuzzy Ontology-based Spatial Data Warehouse for contextual search and recommendation, composed of 3 main layers: (1) Data layer composed of structred, unstructred and users  ...  The need to build a spatial data warehouse over all structured and unstructured data is becoming necessary in many fields.  ...  and recommendation based on the approach of the data warehouses and data marts which store the relevant data for the decision-makers.  ... 
doi:10.5220/0006010501610166 dblp:conf/icsoft/Zghal16 fatcat:te2mfuw6mrcz7encsz2j2apfh4

An Algorithm for Summarization of Paragraph Up to One Third with the Help of Cue Words Comparison

Noopur Srivastava, Bineet Kumar
2014 International Journal of Advanced Computer Science and Applications  
In this technology data could be refined and sourced with certainty and relevance.  ...  So, Auto Summarization Model is an agnostic content summarization technology that automatically parses news, information, documents and many more into relevant and contextually accurate abbreviated summaries  ...  Data Mining Approach Data mining is very helpful for extracting word or sentence after comparing each word from data warehouse.  ... 
doi:10.14569/ijacsa.2014.050526 fatcat:h5hn45d33fggxpf2ng3k3x56gq

Designing ETL Tools to Feed a Data Warehouse Based on Electronic Healthcare Record Infrastructure

Fabrizio Pecoraro, Daniela Luzi, Fabrizio L Ricci
2015 Studies in Health Technology and Informatics  
This paper describes the main activities to be performed to map the information collected in the different types of document with the dimensional model primitives.  ...  Aim of this paper is to propose a methodology to design Extract, Transform and Load (ETL) tools in a clinical data warehouse architecture based on the Electronic Healthcare Record (EHR).  ...  This approach is going to be tested using the EHR developed within the Smart Health 2.0 project that collects CDA documents produced by heterogeneous systems, such as GP's records, laboratory information  ... 
pmid:25991292 fatcat:el4puq73nzcyddorbswemoiogy

Context-based Data Quality Metrics in Data Warehouse Systems

Flavia Serra, Adriana Marotta
2017 CLEI Electronic Journal  
Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry.  ...  The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through context-based DQ metrics.  ...  However, in this case, the context is determined by the relevant documents of the organization and its contents. We extract from Table I the most important contextualized objects for our work.  ... 
doi:10.19153/cleiej.20.2.3 fatcat:a6kq2vze6rfjdh4234fpbxwlpu

A Domain Ontology to Support Evidence-Based Practice and Context Usage on Crime Prevention

Expedito Carlos Lopes, Gabriela P. R. Rezende, Vaninha Vieira, Teresinha F. Burnham
2011 Joint Seminar on Ontology Research in Brazil / International Workshop on Metamodels, Ontologies and Semantic Technologies  
Context is a kind of knowledge that supports the ability to define what is or is not relevant in a given situation.  ...  One of the main reasons for developing context models based on ontologies is the knowledge sharing that enables computational entities, such as agents and services to find actors' similar profiles in decision  ...  The authors present a data model for building a federated Data Warehouse considering adopted international standards for the exchange of healthcare data.  ... 
dblp:conf/ontobras/LopesRVB11 fatcat:ix3hoy2vffh6lj2x53u3ank4ky

Improving a Secondary Use Health Data Warehouse: Proposing a Multi-Level Data Quality Framework

Sandra Henley-Smith, Douglas Boyle, Kathleen Gray
2019 eGEMs  
in an actual health data warehouse.  ...  After review of literature to identify relevant research, an existing data quality framework was refined and expanded to encompass the contextual requirements not present.  ...  Level 1 testing was undertaken within a test data warehouse modelled on a real-world data warehouse, on data from two General Practice EHR systems from which data are sourced and stored there; both warehouses  ... 
doi:10.5334/egems.298 pmid:31531384 pmcid:PMC6676919 fatcat:sstx5fbwu5bebgkzznl4sju7a4

Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories

Vojtech Huser, James J Cimino
2013 AMIA Annual Symposium Proceedings  
We look at how a set of sample facts is represented in each repository and conclude with a list of desiderata for IDRs that deal with the information storage model, terminology model, data integration  ...  We compare three large IDRs (Informatics for Integrating Biology and the Bedside (i2b2), HMO Research Network's Virtual Data Warehouse (VDW) and Observational Medical Outcomes Partnership (OMOP) repository  ...  At such institutions, often with homegrown EHR systems, the importance of having a data warehouse is well understood and there are decades of experience with data warehouse evolution.  ... 
pmid:24551366 pmcid:PMC3900207 fatcat:zpuz3fh5gvew3etkjyd2jwb5vy

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.  ...  Our contributions cover the main phases of the data warehouse design process: data integration and modeling and user driven-OLAP analysis.  ...  In such a context, it is very helpful to provide users with the most relevant data warehouse model for personalized decision queries.  ... 
arXiv:1701.08643v1 fatcat:2u67xdmvsnfizieie2qtajfmze

A report on the Eighth ACM International Workshop on Data Warehousing and OLAP (DOLAP'05)

Juan Trujillo, Il-Yeol Song
2006 SIGMOD record  
We also thank all the authors for submitting their papers and the CIKM2005 organizing committee for all their support. Another gratitude is for our technician Miguel A.  ...  This workshop was organized with the support from the following projects: METASIGN (TIN2004-00779), DADASMECA (GV05/ 220) and DADS (PBC-05-012-2).  ...  Thus, the authors propose a Relevance-Extended Multidimensional Model to combine structure of DWs and documents in what they call Data Warehouse Contextualized with Documents.  ... 
doi:10.1145/1228268.1228280 fatcat:qsdylxhyn5d2tacfw5vwpbgdiy

Context-aware generalization for cube measures

Yoann Pitarch, Cécile Favre, Anne Laurent, Pascal Poncelet
2010 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP - DOLAP '10  
Hierarchies are crucial for analysis in data warehouses. But they can hardly be defined on measure attributes.  ...  For instance, a given blood pressure can be either low, normal or high regarding not only the collected measure but also characteristics of the patient such as the age.  ...  In [5] , the authors propose to contextualize data warehouses with documents. However, it does not focus on the measures themselves.  ... 
doi:10.1145/1871940.1871961 dblp:conf/dolap/PitarchFLP10 fatcat:fh3yft7p5fejnfhn2htv5u2gcu

On Modelling Digital Healthcare Ecosystems and their Knowledge Management

Shastri L. Nimmagadda, Torsten Reiners, Lincoln C. Wood, Sashi K. Chitti
2019 Americas Conference on Information Systems  
The purpose of the research is to build a framework and integrate multilayered models in multidimensional warehouse repository.  ...  Knowledge-based data models are needed to manage unstructured cognitive healthcare Big Data.  ...  Many interlinked fact instances are documented for building logical and physical data models. The type and size of the data demand a rational modelling approach.  ... 
dblp:conf/amcis/NimmagaddaRWC19 fatcat:fyv2kusyqbhd7mdniyn6atgczu
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