Titlebook: Web Information Systems Engineering – WISE 2007; 8th International Co Boualem Benatallah,Fabio Casati,Claude Godart Conference proceedings

Entreaty

Addictive

Countermand

丑惡

A New Reputation-Based Trust Management Mechanism Against False Feedbacks in Peer-to-Peer Systemse a punishment mechanism to prevent malicious servers and liars from iteratively exerting bad behaviors in the system. Simulation shows our approach can effectively process aforesaid strategic feedbacks and mitigate unfairness.

一個攪動不安

Similarity-Based Document Distribution for Efficient Distributed Information Retrieval, thereby improving efficiency. We accomplish this by linearizing the information retrieval search space such that it reflects the ranking formula which will be used for later retrieval..Our experimental evaluation indicates that effective information retrieval can be efficiently accomplished in distributed networks.

FLEET

Similarity-Based Document Distribution for Efficient Distributed Information Retrieval, thereby improving efficiency. We accomplish this by linearizing the information retrieval search space such that it reflects the ranking formula which will be used for later retrieval..Our experimental evaluation indicates that effective information retrieval can be efficiently accomplished in distributed networks.

Spina-Bifida

Freshness-Aware Caching in a Cluster of J2EE Application Serversre its performance to cache invalidation and cache replication. The evaluation shows that both cache invalidation and FAC provide better update scalability than cache replication. We also show that FAC can provide a significant better read performance than cache invalidation in the case of frequent updates.

GNAW

Freshness-Aware Caching in a Cluster of J2EE Application Serversre its performance to cache invalidation and cache replication. The evaluation shows that both cache invalidation and FAC provide better update scalability than cache replication. We also show that FAC can provide a significant better read performance than cache invalidation in the case of frequent updates.

接合

必死

BEIRA: A Geo-semantic Clustering Method for Area Summary is formed by geo-semantic clustering which is a co-clustering that takes into account both geographical and semantic aspects of POI information. By the experiment using real LBC on the web, we confirmed our method has potential to extract good AOI.