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ICWSM_SISoM-11
- 1. Structuring E-Brainstorming to Better Support Innovation Processes Lorea Lorenzo, Osane Lizarralde, Igor Santo, Alexandre Passant
- 2. Motivation Gather knowledge by idea generation Accessible + scalable communication techniques Allow creation + exchange of user-generated content Brainstorming Team-based technique to create/discuss ideas Promote creativity by synergy Rapid acquisition of large amount of information
- 3. Brainstorming drawbacks We met in the big Apple ... We? Who does she refer to? Ambiguity when talking Apple? Is that the Apple Store? NYC?
- 4. Brainstorming drawbacks Brainstorming session A Brainstorming session B Topic: Political Diversity in Twitter Topic: Political Polarization in Twitter Information Isolation
- 5. Our goal Brainstorming session A Brainstorming session B
- 6. Electronic Brainstorming Simulate traditional Brainstorming sessions Real-Time collaborative text editors. Eg. Gobby
- 7. No loss of information Information becomes archival Easyto track ideas Content Remains as text No added value Add SEMANTIC DATA To represent its MEANING
- 8. Brainstorm Ontology Represent content using vocabularies Duration Reviews Online Community Online Community SIOC Semantically-Interlinked Online Communities Person User Account User Account Site Reuse existing Social Vocabularies has Ideas Participants Brainstorm Brainstorm administrate Topics Objectives Tags
- 9. Brainstorm Ontology Represent content by a vocabulary Online Community FOAF Friend of a Friend “peter” peter@gmail.com “peter” “Mary” “Mary” “snowflake” has mail Participants Brainstorm has friend has nickName
- 10. Brainstorm Ontology Represent content by a vocabulary Online Community SKOS Simple Knowledge Organisation System Brainstorm Idea Idea Concept Ideas Participants has Collection Brainstorm is a
- 11. Brainstorm Ontology Represent content by a vocabulary Duration Online Community Reviews Ideas Participants Brainstorm Topics Objectives Tags
- 12. http://vocab.deri.ie/br skos:Collection Br:Participant is_a is_type_of Br:Brainstorm has_Participant “Mary” has_Name has_Topic foaf:Person has_Idea has_Tagged_a_Tag has_NickName Br:Topic tags:Tag “Snowflake” has_Tag has_Reviewer Br:Idea has_Review Review:Review
- 13. With Semantic Data Human readable data vs. Machine understandable data Semantics to add meaning to the content Previous example: “We met in the big Apple…”
- 14. BIG APPLE WE MET IN THE PETER and MARY
- 19. Future Work Data Privacy Create/Reuse existing platforms Google Wave/Apache Wave
- 20. Conclusions Electronic Brainstorming enriched with Semantics Brainstorm Ontology Tool able to interlink People User generated Ideas Web content DERI IDA Business Park Lower Dangan – Galway Ireland Lorea Lorenzo lorea.lorenzo@deri.org lorea.lorenzo@gmail.com
Notes de l'éditeur
- So as a conclusion, we outline the significant role that science and technology can play duringinnovation processes.It questions the view that holds that semantic data applied to user generated content can enrich decision making tasks.And, it suggests electronic brainstorming sessions to better perform idea generation activities.