2026-04-21T19:54:09Zhttps://ebiltegia.mondragon.edu/oai/requestoai:ebiltegia.mondragon.edu:20.500.11984/11172024-04-15T15:46:40Zcom_20.500.11984_460col_20.500.11984_469
eBiltegia
advisor
Larrinaga Barrenechea, Félix
advisor
Igartua López, Juan Ignacio
author
Perez Riaño, Alain
2018-11-06T12:41:54Z
2018-11-06T12:41:54Z
2016
https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=126070
https://hdl.handle.net/20.500.11984/1117
Innovation is a key process for Small and Medium Enterprises in order to survive and evolve in a competitive environment. Ideas and idea management are considered the basis for Innovation. Gathering data on how current technologies and competitors evolve is another key factor for companies' innovation. Therefore, this thesis focuses the application of Information and Communication Technologies and more specifically Semantic Web and Semantic Technologies on Idea Management Systems and Technology Watch Systems.
Innovation and Technology Watch platform managers usually face many problems related with the data they collect and manage. Those managers have to deal with a large amount of information distributed in different platforms, not always interoperable among them. It is vital to share data between platforms so it can be converted into knowledge. Many of the tasks they perform are non productive and too much time and effort is expended on them. Moreover, Innovation process managers have difficulties in identifying why an idea contest has been successful.
Our proposal is to analyze different Information and Communication Technologies
that can assist companies with their Innovation and Technology Watch processes. Thus, we studied several Semantic and Web technologies, we build some conceptual models and tested them in different case studies to see the results achieved in real scenarios.
The outcome of this thesis has been the creation of a solution architecture to enable interoperability among platforms and to ease the work of the process' managers. In this framework and to complement the architecture, two ontologies have been developed: (1) Gi2Mo Wave and (2) Mentions Ontology. On one hand, Gi2Mo Wave focused on annotating the background of idea contests, assisting on the analysis of the contests and easing its replication. On the other hand, Mentions Ontology focused on annotating the elements mentioned in plain text content, such as ideas or news items. That way, Mentions Ontology creates a way to link the related content, enabling the interoperability among content from different platforms.
In order to test the architecture, a new web Idea Management System and a
Technology Watch system have been also developed. The platforms incorporate semantic
ontologies and tools to enable interoperability. We also demonstrate how Semantic Technologies reduce human workload by contributing on the automatic classification of content in the Technology Watch process. Finally, conclusions have been gathered according to the results achieved testing the used technologies, identifying the ones with best results.
eng
© Alain Pérez Riaño
Informática
ODS 9 Industria, innovación e infraestructura
Semantic web and semantic technologies to enhance innovation and technology watch processes
http://purl.org/coar/resource_type/c_db06
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URL
http://ebiltegia.mondragon.edu/xmlui/bitstream/20.500.11984/1117/1/Tesis%20Alain%20Perez.pdf
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Tesis Alain Perez.pdf.txt