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

11 Citations (Scopus)

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 (ACM)
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/Territory	Taiwan, Province of China
City	Taipei
Period	20/04/2020 → 24/04/2020
Sponsor	Chunghwa Telecom, et al., Microsoft USA, Quanta Computer, Taiwan Mobile, ZOOM

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10.1145/3366424.3383533

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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.",

author = "Nath, {Rudra Pratap} and Katja Hose and Pedersen, {Torben Bach} and Oscar Romero and Amrit Bhattacharjee",

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doi = "10.1145/3366424.3383533",

language = "English",

volume = "2020",

pages = "167--171",

booktitle = "The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "29th International World Wide Web Conference, WWW 2020 ; Conference date: 20-04-2020 Through 24-04-2020",

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

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

TY - GEN

T1 - SETLBI

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

AU - Nath, Rudra Pratap

AU - Hose, Katja

AU - Pedersen, Torben Bach

AU - Romero, Oscar

AU - Bhattacharjee, Amrit

PY - 2020/4/24

Y1 - 2020/4/24

N2 - 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.

AB - 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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U2 - 10.1145/3366424.3383533

DO - 10.1145/3366424.3383533

M3 - Article in proceeding

VL - 2020

SP - 167

EP - 171

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

PB - Association for Computing Machinery (ACM)

CY - Taipei

Y2 - 20 April 2020 through 24 April 2020

ER -

SETLBI: An Integrated Platform for Semantic Business Intelligence

Abstract

Conference

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Poul Due Jensen Professorate in Big Data and Artificial Intelligence

RelWeb: A Reliable Web of Data

Aspects of Semantic ETL

Cite this

SETLBI: An Integrated Platform for Semantic Business Intelligence

Abstract

Conference

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Poul Due Jensen Professorate in Big Data and Artificial Intelligence

RelWeb: A Reliable Web of Data

Research output

Aspects of Semantic ETL

Cite this