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

Gabor Berend; Christian Stadlmann; Stefan Mang; Margarethe Überwimmer

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

Gabor Berend, Christian Stadlmann, Stefan Mang, Margarethe Überwimmer

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence
Number of pages	4
Publication status	Published - 2020
Event	Thirty-Fourth AAAI Conference on Artificial Intelligence - New York, United States Duration: 7 Feb 2020 → 12 Feb 2020 https://aaai.org/Conferences/AAAI-20/

Conference

Conference	Thirty-Fourth AAAI Conference on Artificial Intelligence
Country/Territory	United States
City	New York
Period	07.02.2020 → 12.02.2020
Internet address	https://aaai.org/Conferences/AAAI-20/

Keywords

Servitization
Machine Learning
Tool

Cite this

@inproceedings{fedb55e6fe02467585015880e26198a6,

title = "A Tool for Automatic Extraction of Informationfrom Company Web Sites in the Field of International Servitization",

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.",

keywords = "Servitization, Machine Learning, Tool, Servitization, Machine Learning, Tool",

author = "Gabor Berend and Christian Stadlmann and Stefan Mang and Margarethe {\"U}berwimmer",

year = "2020",

language = "English",

booktitle = "Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence",

note = "Thirty-Fourth AAAI Conference on Artificial Intelligence ; Conference date: 07-02-2020 Through 12-02-2020",

url = "https://aaai.org/Conferences/AAAI-20/",

}

TY - GEN

T1 - A Tool for Automatic Extraction of Informationfrom Company Web Sites in the Field of International Servitization

AU - Berend, Gabor

AU - Stadlmann, Christian

AU - Mang, Stefan

AU - Überwimmer, Margarethe

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Servitization

KW - Machine Learning

KW - Tool

KW - Servitization

KW - Machine Learning

KW - Tool

UR - https://aaai-kdf2020.github.io/assets/pdfs/kdf2020_paper_25.pdf

M3 - Conference contribution

BT - Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence

T2 - Thirty-Fourth AAAI Conference on Artificial Intelligence

Y2 - 7 February 2020 through 12 February 2020

ER -

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

Abstract

Conference

Keywords

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