Idea relationship analysis in open innovation crowdsourcing systems


Autoria(s): Westerski, Adam; Iglesias Fernandez, Carlos Angel; Espinosa García, Javier
Data(s)

2012

Resumo

Idea Management Systems are an implementation of open innovation notion in the Web environment with the use of crowdsourcing techniques. In this area, one of the popular methods for coping with large amounts of data is duplicate de- tection. With our research, we answer a question if there is room to introduce more relationship types and in what degree would this change affect the amount of idea metadata and its diversity. Furthermore, based on hierarchical dependencies between idea relationships and relationship transitivity we propose a number of methods for dataset summarization. To evaluate our hypotheses we annotate idea datasets with new relationships using the contemporary methods of Idea Management Systems to detect idea similarity. Having datasets with relationship annotations at our disposal, we determine if idea features not related to idea topic (e.g. innovation size) have any relation to how annotators perceive types of idea similarity or dissimilarity.

Formato

application/pdf

Identificador

http://oa.upm.es/19366/

Idioma(s)

eng

Publicador

E.T.S.I. Telecomunicación (UPM)

Relação

http://oa.upm.es/19366/1/INVE_MEM_2012_140901.pdf

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6450918

info:eu-repo/semantics/altIdentifier/doi/null

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

Proceedings 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) | 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) | 14/10/2012 - 17/10/2012 | Pittsburgh, Pennsylvania, USA

Palavras-Chave #Telecomunicaciones #Informática
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

PeerReviewed