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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Westerski, A. Iglesias, C.A. Garcia, J.E. |
| Copyright Year | 2012 |
| Description | Author affiliation: Univ. Politec. de Madrid, Madrid, Spain (Westerski, A.; Iglesias, C.A.; Garcia, J.E.) |
| 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 detection. 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. |
| Starting Page | 289 |
| Ending Page | 296 |
| File Size | 989533 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467327404 |
| DOI | 10.4108/icst.collaboratecom.2012.250412 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ICST |
| Subject Keyword | Measurement Graphics Technological innovation idea management crowdsourcing Blogs open innovation clustering Internet Servers community relationship |
| Content Type | Text |
| Resource Type | Article |
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