The internet is a valuable source of information where many ideas can be found dealing with different topics. A few numbers of ideas might be able to solve an existing problem. However, it is time-consuming to identify these ideas within the large amount of textual information in the internet. This paper introduces a new web mining approach that enables an automated identification of new technological ideas extracted from internet sources that are able to solve a given problem. It adapts and combines several existing approaches from literature: approaches that extract new technological ideas from a user given text, approaches that investigate the different idea characteristics in different technical domains, and multi-language web mining approaches. In contrast to previous work, the proposed approach enables the identification of problem solution ideas in the internet considering domain dependencies and language aspects. In a case study, new ideas are identified to solve existing technological problems as occurred in research and development (R&D) projects. This supports the process of research planning and technology development.
%0 Journal Article
%1 thorleuchter_web_2013
%A Thorleuchter, D.
%A Van den Poel, D.
%D 2013
%J Expert Systems with Applications
%K terminologieextraktion
%N 10
%P 3961--3969
%R 10.1016/j.eswa.2013.01.013
%T Web mining based extraction of problem solution ideas
%V 40
%X The internet is a valuable source of information where many ideas can be found dealing with different topics. A few numbers of ideas might be able to solve an existing problem. However, it is time-consuming to identify these ideas within the large amount of textual information in the internet. This paper introduces a new web mining approach that enables an automated identification of new technological ideas extracted from internet sources that are able to solve a given problem. It adapts and combines several existing approaches from literature: approaches that extract new technological ideas from a user given text, approaches that investigate the different idea characteristics in different technical domains, and multi-language web mining approaches. In contrast to previous work, the proposed approach enables the identification of problem solution ideas in the internet considering domain dependencies and language aspects. In a case study, new ideas are identified to solve existing technological problems as occurred in research and development (R&D) projects. This supports the process of research planning and technology development.
@article{thorleuchter_web_2013,
abstract = {The internet is a valuable source of information where many ideas can be found dealing with different topics. A few numbers of ideas might be able to solve an existing problem. However, it is time-consuming to identify these ideas within the large amount of textual information in the internet. This paper introduces a new web mining approach that enables an automated identification of new technological ideas extracted from internet sources that are able to solve a given problem. It adapts and combines several existing approaches from literature: approaches that extract new technological ideas from a user given text, approaches that investigate the different idea characteristics in different technical domains, and multi-language web mining approaches. In contrast to previous work, the proposed approach enables the identification of problem solution ideas in the internet considering domain dependencies and language aspects. In a case study, new ideas are identified to solve existing technological problems as occurred in research and development (R\&D) projects. This supports the process of research planning and technology development.},
added-at = {2018-11-04T17:02:36.000+0100},
author = {Thorleuchter, D. and Van den Poel, D.},
biburl = {https://www.bibsonomy.org/bibtex/2f785a25ab5aaa951e2b5e479e85345dd/lepsky},
doi = {10.1016/j.eswa.2013.01.013},
interhash = {286febb673963e8bab8b410da3949c9b},
intrahash = {f785a25ab5aaa951e2b5e479e85345dd},
issn = {09574174},
journal = {Expert Systems with Applications},
keywords = {terminologieextraktion},
month = aug,
number = 10,
pages = {3961--3969},
timestamp = {2018-11-04T17:02:36.000+0100},
title = {Web mining based extraction of problem solution ideas},
volume = 40,
year = 2013
}