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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

6 Citationer (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.

Originalsprog	Engelsk
Titel	The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
Antal sider	5
Vol/bind	2020
Udgivelsessted	Taipei
Forlag	Association for Computing Machinery
Publikationsdato	24 apr. 2020
Sider	167-171
ISBN (Elektronisk)	9781450370240
DOI	https://doi.org/10.1145/3366424.3383533
Status	Udgivet - 24 apr. 2020
Begivenhed	29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan Varighed: 20 apr. 2020 → 24 apr. 2020

Konference

Konference	29th International World Wide Web Conference, WWW 2020
Land/Område	Taiwan
By	Taipei
Periode	20/04/2020 → 24/04/2020
Sponsor	Chunghwa Telecom, et al., Microsoft, Quanta Computer, Taiwan Mobile, ZOOM

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2 Igangværende

Poul Due Jensen Professorate in Big Data and Artificial Intelligence
Hose, K., Jendal, T. E. & Hansen, E. R.
01/11/2019 → 31/10/2024
Projekter: Projekt › Forskning
RelWeb: A Reliable Web of Data
Hose, K.
01/09/2019 → 31/08/2024
Projekter: Projekt › Forskning

6 Citationer
1 Ph.d.-afhandling

Aspects of Semantic ETL
Nath, R. P., 2020, Aalborg Universitetsforlag. 221 s.
Publikation: Ph.d.-afhandling

Åben adgang
Fil

Citationsformater

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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",

year = "2020",

month = apr,

day = "24",

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",

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. i The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. bind 2020, Association for Computing Machinery, Taipei, s. 167-171, 29th International World Wide Web Conference, WWW 2020, Taipei, Taiwan, 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. Bind 2020 Taipei: Association for Computing Machinery, 2020. s. 167-171.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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

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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.

UR - http://www.scopus.com/inward/record.url?scp=85091708745&partnerID=8YFLogxK

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

CY - Taipei

Y2 - 20 April 2020 through 24 April 2020

ER -

SETLBI: An Integrated Platform for Semantic Business Intelligence

Abstract

Konference

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Projekter

Poul Due Jensen Professorate in Big Data and Artificial Intelligence

RelWeb: A Reliable Web of Data

Publikation

Aspects of Semantic ETL

Citationsformater