A Tool for Automatic Extraction of Informationfrom Company Web Sites in the Field of International Servitization

Gabor Berend, Christian Stadlmann, Stefan Mang, Margarethe Überwimmer

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

Abstract

This paper introduces the first prototype of a tool developedas part of an interdisciplinary applied research effort. Ourlong-term goal is to develop such a service which is capa-ble of providing valuable information aiding decision mak-ing regarding international servitization. Our platform is cur-rently able to identify the industry for some company basedon the contents of its web site. Key terms, including the ex-traction of multiword expressions – that we deem as relevantindustry-specific terms – and named entities are also part ofour demo application. The platform also incorporates a pre-liminary information retrieval component, which returns themost similar company websites included in our database ofcompanies. Our demo is accessible from https://rgai.inf.u-szeged.hu/prosperAM/demo.
OriginalspracheEnglisch
TitelProceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence
Seitenumfang4
PublikationsstatusVeröffentlicht - 2020
VeranstaltungThirty-Fourth AAAI Conference on Artificial Intelligence - New York, USA/Vereinigte Staaten
Dauer: 7 Feb. 202012 Feb. 2020
https://aaai.org/Conferences/AAAI-20/

Konferenz

KonferenzThirty-Fourth AAAI Conference on Artificial Intelligence
Land/GebietUSA/Vereinigte Staaten
OrtNew York
Zeitraum07.02.202012.02.2020
Internetadresse

Schlagwörter

  • Servitization
  • Machine Learning
  • Tool

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