Web Information Retrieval System for Technological Forecasting
Technological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to mak...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2017-04-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/451 |
| _version_ | 1818847818488479744 |
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| author | Raúl Montiel Luis Lezcano Airaldi Fabián Favret Karina Eckert |
| author_facet | Raúl Montiel Luis Lezcano Airaldi Fabián Favret Karina Eckert |
| author_sort | Raúl Montiel |
| collection | DOAJ |
| description | Technological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to make strategic decisions. This paper describes a Web mining system which gathers the users’ information requirements through a series of guided questions, constructs various search keys with the answers and uses them to perform a continuous search and analysis process by means of several web search engines and different information retrieval algorithms to score the relevance of the documents obtained. These documents are later presented to the user as an aid in the decision making process. After the description, the system was tested in several scenarios and the obtained results are shown and discussed. |
| first_indexed | 2024-12-19T06:07:29Z |
| format | Article |
| id | doaj.art-4156cf872fdb48028e243937d7096f2f |
| institution | Directory Open Access Journal |
| issn | 1666-6046 1666-6038 |
| language | English |
| last_indexed | 2024-12-19T06:07:29Z |
| publishDate | 2017-04-01 |
| publisher | Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
| record_format | Article |
| series | Journal of Computer Science and Technology |
| spelling | doaj.art-4156cf872fdb48028e243937d7096f2f2022-12-21T20:33:05ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382017-04-0117014958231Web Information Retrieval System for Technological ForecastingRaúl Montiel0Luis Lezcano Airaldi1Fabián Favret2Karina Eckert3Universidad Tecnológica Nacional, Facultad Regional Resistencia, Resistencia, Chaco, H3500CHJ, ArgentinaUniversidad Tecnológica Nacional, Facultad Regional Resistencia, Resistencia, Chaco, H3500CHJ, ArgentinaUniversidad Gastón Dachary. Posadas, Misiones, 3300, ArgentinaUniversidad Gastón Dachary. Posadas, Misiones, 3300, ArgentinaTechnological Forecasting and Competitive Intelligence are two different disciplines that, used together, provide the organizations with an invaluable analytic tool for the environment and the competing companies’ behavior. This kind of technology can be used for extracting useful information to make strategic decisions. This paper describes a Web mining system which gathers the users’ information requirements through a series of guided questions, constructs various search keys with the answers and uses them to perform a continuous search and analysis process by means of several web search engines and different information retrieval algorithms to score the relevance of the documents obtained. These documents are later presented to the user as an aid in the decision making process. After the description, the system was tested in several scenarios and the obtained results are shown and discussed.https://journal.info.unlp.edu.ar/JCST/article/view/451web mining algorithmstechnological forecastingcompetitive intelligenceinformation retrieval |
| spellingShingle | Raúl Montiel Luis Lezcano Airaldi Fabián Favret Karina Eckert Web Information Retrieval System for Technological Forecasting Journal of Computer Science and Technology web mining algorithms technological forecasting competitive intelligence information retrieval |
| title | Web Information Retrieval System for Technological Forecasting |
| title_full | Web Information Retrieval System for Technological Forecasting |
| title_fullStr | Web Information Retrieval System for Technological Forecasting |
| title_full_unstemmed | Web Information Retrieval System for Technological Forecasting |
| title_short | Web Information Retrieval System for Technological Forecasting |
| title_sort | web information retrieval system for technological forecasting |
| topic | web mining algorithms technological forecasting competitive intelligence information retrieval |
| url | https://journal.info.unlp.edu.ar/JCST/article/view/451 |
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