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A relevance-extended multi-dimensional model for a data warehouse contextualized with documents
2005
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP - DOLAP
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In this work we extend an existing multi-dimensional data model and algebra for representing the R-cubes. ...
In this paper we propose to combine the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. ...
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
2008
IEEE Transactions on Knowledge and Data Engineering
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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. ...
Multi-Dimensional eXpressions (MDX) [37] is the most used query language for reporting from multidimensional data stores. ...
doi:10.1109/tkde.2007.190746
fatcat:drcxlccqqfaifcjuzbzspyzlpu
Innovative Approaches for efficiently Warehousing Complex Data from the Web
[article]
2017
arXiv
pre-print
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In this chapter, we present three innovative researches recently introduced to extend the capabilities of decision support systems, namely (1) the use of XML as a logical and physical model for complex ...
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. ...
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
DW2RDF4SDG – Ontology modeling from multi-dimensional cubes for Sustainable Development Goals
2018
Sistemas y Telemática
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This work provides a basic methodology to obtain an ontology RDF from a multidimensional model of a data warehouse, capable to be aligned to other ontology of the Sustainable Developments Goals. ...
Multidimensional models and their measures regarding different dimensions are powerful instruments for decision makers. ...
While BI is a powerful tool for decision making in any organization, linking the data models of a DW with open semantic data models, would allow it to extend static queries stored in a data warehouse and ...
doi:10.18046/syt.v16i44.2724
fatcat:spzaz4hharbk5d5f4auo7hhnia
Generating Data Warehouse Schema
2014
International Journal in Foundations of Computer Science & Technology
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Most of the creation of data multidimensional data warehouses is done manually, but it is a very complex and takes a long time and usually has a risk of fail. ...
to design data warehouse schema. ...
Tarig Ahmed who kindly supervised this study with greatest care. He has been a real source of useful support and careful guidance. ...
doi:10.5121/ijfcst.2014.4101
fatcat:qrau72mvbvcxtj2egc6apqjzby
Improving a Secondary Use Health Data Warehouse: Proposing a Multi-Level Data Quality Framework
2019
eGEMs
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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
Proximal Business Intelligence on the Semantic Web
[chapter]
2010
Lecture Notes in Business Information Processing
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models for adaptive information system strategies of this type. ...
The paper concludes with an ontology engineering framework for systems of this type -named UBIS-ONTO. ...
Large amounts of data are brought together in data warehouses (from different sources) providing multi-dimensional views of the data. ...
doi:10.1007/978-3-642-15141-5_12
fatcat:lpopnguutzd7jcnrcuhkrkvtau
Deep Communicating Agents for Abstractive Summarization
[article]
2018
arXiv
pre-print
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We present deep communicating agents in an encoder-decoder architecture to address the challenges of representing a long document for abstractive summarization. ...
With deep communicating agents, the task of encoding a long text is divided across multiple collaborating agents, each in charge of a subsection of the input text. ...
Model We extend the CommNet model of Sukhbaatar et al. (2016) for sequence generation. ...
arXiv:1803.10357v3
fatcat:lib2ihncgnhvdbvirwasa7d6qa
GeoVIBE: A Visual Interface for Geographic Digital Libraries
[chapter]
2002
Lecture Notes in Computer Science
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Document relevance may be judged visually by inspecting spatial arrangement and relations of documents in a map view and the similarities among documents defined on a vector space model. ...
GeoView imposes a geographical order to the document space based on the idea of hypermaps where "icons" and "footprints" may be embedded in maps as the clickable hotspots linking to relevant documents. ...
In the meantime, geographical model based on multi-layered index maps has limited ability in dealing with the complex, high-dimensional thematic space of textual documents. ...
doi:10.1007/3-540-36222-3_13
fatcat:swychzrqwbe5tdk3wbrl6guxea
An Improved Similarity Matching based Clustering Framework for Short and Sentence Level Text
2017
International Journal of Electrical and Computer Engineering (IJECE)
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Text clustering plays a key role in navigation and browsing process. For an efficient text clustering, the large amount of information is grouped into meaningful clusters. ...
The similarities between the components are compared and the vector data is created. From the vector data the clustering particle is computed. ...
A fuzzy relevance measure was used to convert the high dimensional document into a low dimensional document. The proposed clustering technique splitted the relevance space into multiple sub regions. ...
doi:10.11591/ijece.v7i1.pp551-558
fatcat:uczortzfc5hzjklygrfbplvoze
DSS from an RE Perspective: A systematic mapping
2016
Journal of Systems and Software
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We have also identified a gap in the literature on how to design the DSS main constructs (typically, the data warehouse and data flows) in a methodological manner from the business needs. ...
Although this is well-known, there is still a surprising gap on how to address requirements engineering (RE) for DSS. ...
multi-dimensional (MD) model. ...
doi:10.1016/j.jss.2016.03.046
fatcat:pqcpxlceqna5xospezrxq2ttki
Deep Communicating Agents for Abstractive Summarization
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
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We present deep communicating agents in an encoder-decoder architecture to address the challenges of representing a long document for abstractive summarization. ...
With deep communicating agents, the task of encoding a long text is divided across multiple collaborating agents, each in charge of a subsection of the input text. ...
Model We extend the CommNet model of Sukhbaatar et al. (2016) for sequence generation. ...
doi:10.18653/v1/n18-1150
dblp:conf/naacl/CelikyilmazBHC18
fatcat:yg52xgv7ezajtkcv4r4lj5df6y
Integration of Context Awareness in Smart Service Provision System Based on Wireless Sensor Networks for Sustainable Cargo Transportation
2021
Sensors
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To address the adequate provision of contextual data, we examined the problems of multi-dimensional definitions of contextual data and the choice of appropriate artificial intelligence (AI) methods for ...
The proposed methodology is based on methods of smart system architecture development that integrate the identification of context-aware data, conceptual structures of data warehouses, and algorithms for ...
Acknowledgments: Authors acknowledged the specialists-experts of the transportation sector and Mindaugas Kurmis, the Head of the Department of Informatics and Statistics at Klaipėda Univerity for competitive ...
doi:10.3390/s21155140
fatcat:hdwt53ey4jespgmn2lnyxidkai
Augmented Understanding and Automated Adaptation of Curation Rules
[article]
2020
arXiv
pre-print
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We propose: ~(1) a feature-based and automated technique for curating the raw data. ~(2) We propose an autonomic approach for adapting data curation rules. ~(3) We provide a solution to augment users in ...
Data curation has been defined as activities and processes an analyst undertakes to transform the raw data into contextualized data and knowledge. ...
ConceptMap arranges documents based on their relevancy to queries. To compute the relevancy of a query and a document, we imple-mented a Vector Space Model (VSM). ...
arXiv:2007.08710v1
fatcat:cw4ka6pzw5ev3hlfidpfllv5sy
Managing Metadata in Data Warehouses: Pitfalls and Possibilities
2004
Communications of the Association for Information Systems
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Managing metadata is essential for managing and maintaining the data warehouse. ...
The inherent complexity of an integrated metadata repository is demonstrated by reviewing the metadata functionality required in a data warehouse: a decision support environment where its importance is ...
A common feature in these tools is the concept of "Internal Cube" -the data is restructured into a multi-dimensional cube, optimized for reporting and on-line analysis. ...
doi:10.17705/1cais.01413
fatcat:ws2bovqztrehzh3zhw44c2nuay
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