Kommunikationsnetze / Multimedia Kommunikation
Extended Explicit Semantic Analysis for Calculating Semantic Relatedness of Web Resources | |
Key: | SBD+10-1 |
Author: | Philipp Scholl, Doreen Böhnstedt, Renato Domínguez García, Christoph Rensing, Ralf Steinmetz |
Date: | September 2010 |
Kind: | In proceedings |
Publisher: | Springer Verlag |
Book title: | Sustaining TEL: From Innovation to Learning and Practice Proceedings of EC-TEL 2010 |
Keywords: | Explicit Semantic Analysis, Semantic Relatedness, Wikipedia, Reference Corpus, Recommendation |
Abstract: | Finding semantically similar documents is a common task in Recommender Systems. Explicit Semantic Analysis (ESA) is an approach to calculate semantic relatedness between terms or documents based on similarities to documents of a reference corpus. Here, usually Wikipedia is applied as reference corpus. We propose enhancements to ESA (called Extended Explicit Semantic Analysis) that make use of further semantic properties of Wikipedia like article link structure and categorization, thus utilizing the additional semantic information that is included in Wikipedia. We show how we apply this approach to recommendation of web resource fragments in a resource-based learning scenario for self-directed, on-task learning with web resources. |
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