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Wikulu - Self-Organizing Wikis
Project Goals
The importance of web-based collaboration systems called Wikis has grown tremendously over the last years, e.g. Wikipedia, corporate wikis. As the usability of a wiki is initially very high, the amount of content grows very fast. A common drawback of wikis is however that the usability decreases with the increased content amount. The Wikulu - Self-Organizing Wikis project at the UKP Lab employs the latest Natural Language Processing (NLP) technologies to manage unstructured information, i.e. to structure the content in corporate Wikis. The objective of the project is thus to implement intelligent approaches to assist the user while creating, editing, or searching content. Wikulu should relieve the user of manual information management, leaving more room for productive work. Why is it called Wikulu? Kukulu is Hawaiian for to organize!
Screencast
Project Publications
| Text Reuse Detection Using a Composition of Text Similarity Measures |
| Daniel Bär and Torsten Zesch and Iryna Gurevych In: Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), p. 167-184, December 2012. |
| Evaluation of a Layered Approach to Question Answering over Linked Data |
| Sebastian Walter and Christina Unger and Philipp Cimiano and Daniel Bär In: Proceedings of the 11th International Semantic Web Conference, p. 362-374, November 2012. |
| UKP-UBC Entity Linking at TAC-KBP |
| Nicolai Erbs and Eneko Agirre and Aitor Soroa and Ander Barrena and Ugaitz Etxebarria and Iryna Gurevych and Torsten Zesch In: Proceedings of the TAC 2012 Workshop, p. to appear, November 2012. |
| UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures |
| Daniel Bär and Chris Biemann and Iryna Gurevych and Torsten Zesch In: Proceedings of the 6th International Workshop on Semantic Evaluation, held in conjunction with the 1st Joint Conference on Lexical and Computational Semantics, p. 435--440, June 2012. |
| A Reflective View on Text Similarity |
| Daniel Bär and Torsten Zesch and Iryna Gurevych In: Proceedings of the International Conference on Recent Advances in Natural Language Processing, p. 515-520, September 2011. |
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People
- Prof. Dr. Iryna Gurevych, Principal Investigator
- Dr. Torsten Zesch, Project Coordinator
- Daniel Bär, Doctoral Researcher
- Nicolai Erbs, Doctoral Researcher
We are always looking for students who are interested in Wikulu and want to help us with our programming and research tasks. Please contact us if you want to know more!
Related Projects
The Wikulu project builds upon cutting-edge fundamental NLP technologies developed at UKP Lab to solve real-life knowledge management problems. It builds upon several successful projects ongoing at the UKP Lab, such as:
- WiWeb funded by the Förderinitiative Interdisziplinäre Forschung: Utilizing Web Knowledge: Language Technologies and Psychological Processes
- SIR 1+2 funded by the German Research Foundation (DFG): Extracting structured lexical semantic knowledge from wiki-based web 2.0 sources such as Wikipedia and Wiktionary and integrating contextually-aware semantic relatedness into information retrieval and keyphrase extraction
- DKPro funded by UIMA 2007 Innovation Award and by two UIA 2008 Innovation Awards from IBM: Integrating NLP components in a repository of semantic information management software based on an industrial strength IBM’s Unstructured Information Management Architecture (UIMA) framework
Klaus Tschira Foundation
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