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A Framework Concept for Profiling Researchers on Twitter using the Web of Data
The document presents a framework for profiling researchers on Twitter by utilizing linked data to enhance research collaboration. It outlines the use case of connecting researchers through shared scientific events, implementation using commonly accepted ontologies, and evaluation of user profiles and event discovery services. Future work includes improving information reliability by integrating additional resources and user context.
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A Framework Concept for Profiling Researchers on Twitter using the Web of Data
- 1. ELIS – MultimediaLab Laurens De Vocht, Erik Mannens, Rik Van de Walle (Ghent University – iMinds) Selver Softic, Martin Ebner (Graz University of Technology) A Framework Concept for Profiling Researchers on Twitter using the Web of Data
- 2. 2/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 1. Introduction 2. Use Case 3. Implementation 4. Evaluation 5. Aligning Multiple Resources 6. Conclusions & Future Work Overview
- 3. 3/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Introduction (1/3) Who has scientific information relevant for me? Web users generate a huge unstructured information flow ?
- 4. 4/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Introduction: Research 2.0 (2/3) Digital Libraries Google Social Media Online Events and Announcements ? Web of Data
- 5. 5/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Introduction: Facilitate Research Collaboration (3/3)
- 6. 6/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Use Case: Overview Connecting researchers based on shared scientific events (conferences)
- 7. 7/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Use Case: Example Bob is giving an interesting presentation at #ISEMANTICS2012 in Graz Wondering how Graz people are dealing with #semantics… Linked Data Entities Explicit Connection Implicit Connection
- 8. 8/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Implementation Commonly used Ontologies e.g. FOAF, SIOC Annotated Data from Social Networks Linked Open Data Connect People and Resources Conferences Locations Tags, Posts, Mentions General Concepts and Facts
- 9. 9/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Implementation: Architecture
- 10. 10/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Implementation: Match rating between two users
- 11. 11/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Evaluation ‣ get User Profile ‣ find People or Events given a User Profile ‣ register a new User Profile ‣ get Event Details Service for efficient discovery of people and events
- 12. 12/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Evaluation: User Profile
- 13. 13/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Evaluation: Find People
- 14. 14/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Evaluation: Find Events
- 15. 15/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 How to combine information from multiple sources? More connections from more sources would lead to more reliability according to qualitative user evaluation. (De Vocht et al., 2011)
- 16. 16/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Aligning Resources: Example Linked Data Entities More Connections!
- 17. 17/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Conclusions & Future Work Future Work Measure precision and recall of presented results Align more resources to obtain more reliability and information quality Integrate user profile and context to improve matching and interlinking. Conclusions Enrichment of Social Media Data with Linked data: Allows semantically motivated comparison between resources Implemented framework with current state-of-the art technologies Possible to discover connections between resources in big datasets
- 18. 18/18 ELIS – MultimediaLab A Framework Concept for Profiling Researchers on Twitter using the Web of Data Laurens De Vocht 09-05-2013 Some References De Vocht, L., Van Deursen, D., Mannens, E., & Van de Walle, R. (2012). A Semantic Approach to Cross-Disciplinary Research Collaboration. International Journal Of Emerging Technologies In Learning (IJET), 7(S2), pages 22 - 30. Laurens De Vocht, Selver Softic, Martin Ebner, and Herbert Mühlburger. 2011. Semantically driven social data aggregation interfaces for Research 2.0. In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW '11), Article 43, 9 pages. laurens.devocht@ugent.be @laurens_d_v Contact