Research:DBpedia Spotlight
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This project page documents a research project currently in progress. Information may be incomplete and can change rapidly as science advances. |
| DBpedia Spotlight | |
|---|---|
| main contact |
Pablo Mendes
|
| co-investigators |
Christian Bizer
|
| start | 2010-June |
| status | in progress  |
| fields | computer science linguistics |
| open data |  |
| open access | |
 Wikimedia research projects |
|
Contents |
[edit] Key Personnel
[edit] Project Summary
DBpedia Spotlight uses structured information extracted from Wikipedia to perform information extraction from text. On the one hand, disambiguations, redirects, entity types and entity properties are invaluable to complement natural language text in several information extraction tasks such as entity linking and relationship extraction. On the other hand, results from these information extraction tasks can be employed as suggestion engines that help users to provide more complete and interconnected encyclopaedic knowledge. This synergistic cycle is likely to figure both as productivity booster (more results with less effort) and as incentive for all involved parts to increase their participation (easier to find where to put effort).
[edit] Methods
[edit] Dissemination
[edit] Wikimedia Policies, Ethics, and Human Subjects Protection
[edit] Benefits for the Wikimedia community
[edit] Time Line
[edit] Funding
[edit] References
Pablo N. Mendes, Max Jakob, Andrés García-Silva and Christian Bizer. DBpedia Spotlight: Shedding Light on the Web of Documents. In the Proceedings of the 7th International Conference on Semantic Systems (I-Semantics). Graz, Austria, 7–9 September 2011. (to appear)
