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» Exploiting Hybrid Parallelism in Web Search Engines
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SEMWEB
2009
Springer
14 years 1 months ago
Exploiting User Feedback to Improve Semantic Web Service Discovery
State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity m...
Anna Averbakh, Daniel Krause, Dimitrios Skoutas
CIKM
2009
Springer
14 years 1 months ago
On the feasibility of multi-site web search engines
Web search engines are often implemented as centralized systems. Designing and implementing a Web search engine in a distributed environment is a challenging engineering task that...
Ricardo A. Baeza-Yates, Aristides Gionis, Flavio J...
WWW
2005
ACM
14 years 8 months ago
Three-level caching for efficient query processing in large Web search engines
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
Xiaohui Long, Torsten Suel
WWW
2007
ACM
14 years 8 months ago
Measuring semantic similarity between words using web search engines
Semantic similarity measures play important roles in information retrieval and Natural Language Processing. Previous work in semantic web-related applications such as community mi...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
ICANN
2011
Springer
12 years 10 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter