Idea relationship analysis in open innovation crowdsourcing systems

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

Descripción

Título: Idea relationship analysis in open innovation crowdsourcing systems
Autor/es:
  • Westerski, Adam
  • Iglesias Fernandez, Carlos Angel
  • Espinosa García, Javier
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)
Fechas del Evento: 14/10/2012 - 17/10/2012
Lugar del Evento: Pittsburgh, Pennsylvania, USA
Título del Libro: Proceedings 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)
Fecha: 2012
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (764kB) | Vista Previa

Resumen

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.

Más información

ID de Registro: 19366
Identificador DC: http://oa.upm.es/19366/
Identificador OAI: oai:oa.upm.es:19366
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6450918
Depositado por: Memoria Investigacion
Depositado el: 11 Sep 2013 18:56
Ultima Modificación: 21 Abr 2016 17:37
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM