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DLOG
2011
14 years 29 days ago
Reasoning in Resource-Constrained Environments: a Matchmaking Engine over Relational Knowledge Bases
We present a framework for logic-based matchmaking on ALN ABoxes stored in a relational database. The proposed approach allows both non-standard reasoning and subsumption check be ...
Eufemia Tinelli, Francesco M. Donini, Michele Ruta...
APWEB
2009
Springer
15 years 1 months ago
Effective Top-k Keyword Search in Relational Databases Considering Query Semantics
Keyword search in relational databases has recently emerged as a new research topic. As a search result is often assembled from multiple relational tables, existing IR-style rankin...
Yanwei Xu, Yoshiharu Ishikawa, Jihong Guan
NIPS
2008
14 years 11 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
AAAI
2011
13 years 9 months ago
Cross-Language Latent Relational Search: Mapping Knowledge across Languages
Latent relational search (LRS) is a novel approach for mapping knowledge across two domains. Given a source domain knowledge concerning the Moon, “The Moon is a satellite of the...
Nguyen Tuan Duc, Danushka Bollegala, Mitsuru Ishiz...