Catálogo de publicaciones - libros
Advances in Conceptual Modeling: Theory and Practice: ER 2006 Workshops BP-UML, CoMoGIS, COSS, ECDM, OIS, QoIS, SemWAT, Tucson, AZ, USA, November 6-9, 2006, Proceedings
John F. Roddick ; V. Richard Benjamins ; Samira Si-said Cherfi ; Roger Chiang ; Christophe Claramunt ; Ramez A. Elmasri ; Fabio Grandi ; Hyoil Han ; Martin Hepp ; Miltiadis D. Lytras ; Vojislav B. Mišić ; Geert Poels ; Il-Yeol Song ; Juan Trujillo ; Christelle Vangenot (eds.)
En conferencia: 25º International Conference on Conceptual Modeling (ER) . Tucson, AZ, USA . November 6, 2006 - November 9, 2006
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
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Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
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No detectada | 2006 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-47703-7
ISBN electrónico
978-3-540-47704-4
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2006
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2006
Tabla de contenidos
doi: 10.1007/11908883_50
An Architecture for Emergent Semantics
Sven Herschel; Ralf Heese; Jens Bleiholder
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we introduce a universal architecture for emergent semantics using a central repository within a multi-user environment, based on solid linguistic theories.
Based on this architecture, we have implemented an information retrieval system supporting keyword queries on standard information retrieval corpora. Contrary to existing query refinement strategies, feedback on the retrieval results is incorporated directly into the actual document representations improving future retrievals.
An evaluation yields higher precision values at the standard recall levels and thus demonstrates the effectiveness of the emergent semantics approach for typical information retrieval problems.
- Semantic Web Applications (II) | Pp. 425-434