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DLOG
2011
13 years 2 months 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
14 years 2 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 7 days 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
14 years 11 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
12 years 10 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...