Exploiting Social Semantics for Multilingual Information Retrieval
Abstract:
In this thesis we consider how user-generated content that is assembled by different popular Web portals can be exploited for Multilingual Information Retrieval. We define the knowledge that can be derived from such portals as Social Semantics. We present to approaches, Cross-lingual Explicit Semantic Analysis and Discriminative Retrieval Models, that are able to support multilingual retrieval models by integrating Social Semantics derived from Wikipedia and Yahoo! Answers.
| Zugehörige Institution(en) am KIT | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2011 |
| Sprache | Englisch |
| Identifikator | urn:nbn:de:swb:90-238491 KITopen-ID: 1000023849 |
| Verlag | Karlsruher Institut für Technologie (KIT) |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Wirtschaftswissenschaften (WIWI) |
| Institut | Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) |
| Prüfungsdaten | 22.07.2011 |
| Schlagwörter | Information Retrieval, Social Web, Explicit Semantic Analysis, Language Models |
| Referent/Betreuer | Studer, R. |