SETLBI: An Integrated Platform for Semantic Business Intelligence

Rudra Pratap Nath; Katja Hose; Torben Bach Pedersen; Oscar Romero; Amrit  Bhattacharjee

doi:10.1145/3366424.3383533

SETLBI: An Integrated Platform for Semantic Business Intelligence

Rudra Pratap Nath, Katja Hose, Torben Bach Pedersen, Oscar Romero, Amrit Bhattacharjee

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

With the growing popularity of Semantic Web technologies, more and more organizations natively manage data using Semantic Web standards, in particular RDF. This development gives rise to new
requirements for Business Intelligence tools to enable analyses in the style of On-Line Analytical Processing (OLAP) over RDF data. In this demonstration, we therefore present the SETLBI (Semantic Extract-Transform-Load and Business Intelligence) integration platform that brings together the Semantic Web and Business Intelligence technologies. SETLBI covers all phases of integration:
target definition, source to target mappings generation, semantic and non-semantic source extraction, data transformation, and target population and update. It facilitates Data Warehouse designers to build a semantic Data Warehouse, either from scratch or by defining a multi-dimensional view over existing RDF data sources, and further enables OLAP-style analyses.

Original language	English
Title of host publication	The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Number of pages	5
Volume	2020
Place of Publication	Taipei
Publisher	Association for Computing Machinery
Publication date	24 Apr 2020
Pages	167-171
ISBN (Electronic)	9781450370240
DOIs	https://doi.org/10.1145/3366424.3383533
Publication status	Published - 24 Apr 2020
Event	29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan, Province of China Duration: 20 Apr 2020 → 24 Apr 2020

Conference

Conference	29th International World Wide Web Conference, WWW 2020
Country	Taiwan, Province of China
City	Taipei
Period	20/04/2020 → 24/04/2020
Sponsor	Chunghwa Telecom, et al., Microsoft, Quanta Computer, Taiwan Mobile, ZOOM

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1 Ph.D. thesis

Aspects of Semantic ETL
Nath, R. P., 2020, Aalborg Universitetsforlag. 221 p. (Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet).
Research output: Book/Report › Ph.D. thesis

Open Access
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title = "SETLBI: An Integrated Platform for Semantic Business Intelligence",

abstract = "With the growing popularity of Semantic Web technologies, more and more organizations natively manage data using Semantic Web standards, in particular RDF. This development gives rise to newrequirements for Business Intelligence tools to enable analyses in the style of On-Line Analytical Processing (OLAP) over RDF data. In this demonstration, we therefore present the SETLBI (Semantic Extract-Transform-Load and Business Intelligence) integration platform that brings together the Semantic Web and Business Intelligence technologies. SETLBI covers all phases of integration:target definition, source to target mappings generation, semantic and non-semantic source extraction, data transformation, and target population and update. It facilitates Data Warehouse designers to build a semantic Data Warehouse, either from scratch or by defining a multi-dimensional view over existing RDF data sources, and further enables OLAP-style analyses.",

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Nath, RP , Hose, K , Pedersen, TB, Romero, O & Bhattacharjee, A 2020, SETLBI: An Integrated Platform for Semantic Business Intelligence. in The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. vol. 2020, Association for Computing Machinery, Taipei, pp. 167-171, 29th International World Wide Web Conference, WWW 2020, Taipei, Taiwan, Province of China, 20/04/2020. https://doi.org/10.1145/3366424.3383533

SETLBI : An Integrated Platform for Semantic Business Intelligence. / Nath, Rudra Pratap ; Hose, Katja ; Pedersen, Torben Bach; Romero, Oscar; Bhattacharjee, Amrit .

The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. Vol. 2020 Taipei : Association for Computing Machinery, 2020. p. 167-171.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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T2 - 29th International World Wide Web Conference, WWW 2020

AU - Nath, Rudra Pratap

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AU - Bhattacharjee, Amrit

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M3 - Article in proceeding

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BT - The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

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SETLBI: An Integrated Platform for Semantic Business Intelligence

Abstract

Conference

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