Idea relationship analysis in open innovation crowdsourcing systems

Westerski, Adam and Iglesias Fernandez, Carlos Angel and Espinosa García, Javier (2012). Idea relationship analysis in open innovation crowdsourcing systems. In: "8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)", 14/10/2012 - 17/10/2012, Pittsburgh, Pennsylvania, USA. pp. 289-296.

Description

Title: Idea relationship analysis in open innovation crowdsourcing systems
Author/s:
  • Westerski, Adam
  • Iglesias Fernandez, Carlos Angel
  • Espinosa García, Javier
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)
Event Dates: 14/10/2012 - 17/10/2012
Event Location: Pittsburgh, Pennsylvania, USA
Title of Book: Proceedings 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)
Date: 2012
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 19366
DC Identifier: http://oa.upm.es/19366/
OAI Identifier: oai:oa.upm.es:19366
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6450918
Deposited by: Memoria Investigacion
Deposited on: 11 Sep 2013 18:56
Last Modified: 21 Apr 2016 17:37
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