Semantic Relatedness of Web Resources by XESA - Philipp Scholl

Extended Explicit Semantic Analysis for Calculating Semantic Relatedness of Web Resources Presentation 2010/10/01 EC-TEL, Barcelona 2010-10-01 EC-TEL Presentation Scholl.ppt Recommendation WP WP WP WP WP WP

Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]

Scenario: Crokodil ,[object Object],[object Object],[object Object],[object Object],[object Object]

Study Results: Snippets of Web Resources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[SBB09] Scholl, P., Benz, B. F., Böhnstedt, D., Rensing, C., Schmitz, B., Steinmetz, R. (2009): Implementation and Evaluation of a Tool for Setting Goals in Self-Regulated Learning with Web Resources, In: Learning in the Synergy of Multiple Disciplines, EC-TEL 2009 , pp. 521-534, Springer-Verlag Berlin/Heidelberg

Structural Recommendations ,[object Object],[object Object],[object Object],Recommendation Blog entry: Visualization of Learning with Web 2.0 Paper excerpt: Social Network Analysis and Visualizations for Learning Web 2.0 Life long learning EC-TEL 2010 E-Learning TEL

Challenge: Sparse Knowledge Networks ,[object Object],[object Object],Goal: semantic recommendation based on snippets.  Some measure of similarity / relatedness between snippets is needed for recommendation Blog entry: e-learning in Web 2.0 Paper excerpt: Web 2.0 for learning Web 2.0 Life long learning TEL E-learning Recommendation ?

Implications for Recommending Snippets ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],“ TEL refers to the assistance of activities in knowledge acquisition through technology ” “ E-Learning comprises all forms of electronically supported learning and teaching .” ?

[object Object],[object Object],[object Object],[object Object],Base Approach: Explicit Semantic Analysis ESA* x = |terms|×1 n×1 document d 1 n documents from corpus Preprocessing steps* Semantic interpretation Matrix M int ,[object Object],[object Object],[object Object],[object Object],Semantic interpretation vector i esa n×|terms| n 1×|terms| vectors document d 2 comparison [GM07] Gabrilovich, E. & Markovitch, S. (2007): Computing semantic relatedness using wikipedia-based explicit semantic analysis. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence, pp. 6-12

Wikipedia as Reference Corpus ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: wikipedia.org

Observation and Hypothesis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

XESA – Overview ESA XESA AG XESA CAT XESA AG+CAT Article content Article Graph Category Information

Category Graph Extension ,[object Object],General Relativity Fundamental Physics Concepts General Relativity Misner Space Anti-Gravity Atom Heat Concepts of Heaven Relativity Theories of Gravitation Physics Concepts by Field Frames of Reference Category Graph Matrix A |art|×1 Semantic interpretation vector i esa x |cat+art|×|art| = |cat+art|×1 i esa_AG

Evaluation: Development of an Own Corpus ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Evaluation: Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0.595

Evaluation: Comparing Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0.643 0.641 0.620 0.543

Recommending via Semantic Relatedness Recommendation Semantic Relatedness (XESA) WP WP WP WP WP WP Paper excerpt: Social Network Analysis and Visualizations for Learning Web 2.0 Life long learning E-Learning TEL Blog entry: Visualization of Learning with Web 2.0

Conclusions and Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Questions? … Thank you for your attention! This work was supported by funds from the German Federal Ministry of Education and Research under the mark 01 PF 08015 A and from the European Social Fund of the European Union (ESF).

Semantic Relatedness of Web Resources by XESA - Philipp Scholl

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