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» Improving Semantic Query Answering
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SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
14 years 3 months ago
Computing label-constraint reachability in graph databases
Our world today is generating huge amounts of graph data such as social networks, biological networks, and the semantic web. Many of these real-world graphs are edge-labeled graph...
Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yan...
CHI
2007
ACM
14 years 10 months ago
IGroup: presenting web image search results in semantic clusters
Current web image search engines still rely on user typing textual description: query word(s) for visual targets. As the queries are often short, general or even ambiguous, the im...
Shuo Wang, Feng Jing, Jibo He, Qixing Du, Lei Zhan...
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 3 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
PR
2008
79views more  PR 2008»
13 years 10 months ago
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
Ying Liu, Dengsheng Zhang, Guojun Lu
ERCIMDL
2005
Springer
148views Education» more  ERCIMDL 2005»
14 years 3 months ago
Active Support for Query Formulation in Virtual Digital Libraries: A Case Study with DAFFODIL
Daffodil is a front-end to federated, heterogeneous digital libraries targeting at strategic support of users during the information seeking process. This is done by offering a va...
André Schaefer, Matthias Jordan, Claus-Pete...