Abstract — In last decade of computing, a growing popularity for semantic cache schemes has been observed. Numerous techniques have been proposed for improved performance of semantic cache. Semantic cache is aimed towards reducing the network traffic load with the ability to address some queries without contacting the server. Semantic cache overcomes the limitations of previous page-caching and tuple-cache techniques. A prime concern of semantic cache includes query processing (query response-time) and cache management. The efficiency of semantic cache can be improved by using semantic indexing sachems. Semantic indexing sachems are segment based and hierarchical semantic indexing scheme. Both these sachems can improve the efficiency of que...
Efficient data management is vital any organization that access databases. Because computers’ hard d...
Commercial database systems make extensive use of caching to speed up query execution. Semantic cach...
In this article we propose Supervised Semantic Indexing (SSI) an algorithm that is trained on (query...
As popular applications become increasingly data-intensive the need for novel techniques to query la...
Query processing is the key aspect in any of client-server application. Optimality is measured based...
Query processing is the key aspect in any of client-server application. Optimality is measured based...
Semantic cache and distribution introduce new obstacles to how we use cache in query processing in d...
The primary goal of the database system is to provide the user a convenient and efficient access to ...
Semantic caching is a technique used for optimizing the evaluation of database queries by caching re...
Caching is crucial to improve performances in many computing system. This work proposes a caching ap...
In this paper, we study how using semantic information improves performance of query caching for dyn...
access method, cache consciousness, data locality, data structure, main-memory database The recent h...
Semantic caches allow queries into large datasets to leverage cached results either directly or thr...
We propose a semantic model for client-side caching and replace-ment in a client-server database sys...
Abstract: The integration of heterogenous web sources is still a big challenge. One approach to deal...
Efficient data management is vital any organization that access databases. Because computers’ hard d...
Commercial database systems make extensive use of caching to speed up query execution. Semantic cach...
In this article we propose Supervised Semantic Indexing (SSI) an algorithm that is trained on (query...
As popular applications become increasingly data-intensive the need for novel techniques to query la...
Query processing is the key aspect in any of client-server application. Optimality is measured based...
Query processing is the key aspect in any of client-server application. Optimality is measured based...
Semantic cache and distribution introduce new obstacles to how we use cache in query processing in d...
The primary goal of the database system is to provide the user a convenient and efficient access to ...
Semantic caching is a technique used for optimizing the evaluation of database queries by caching re...
Caching is crucial to improve performances in many computing system. This work proposes a caching ap...
In this paper, we study how using semantic information improves performance of query caching for dyn...
access method, cache consciousness, data locality, data structure, main-memory database The recent h...
Semantic caches allow queries into large datasets to leverage cached results either directly or thr...
We propose a semantic model for client-side caching and replace-ment in a client-server database sys...
Abstract: The integration of heterogenous web sources is still a big challenge. One approach to deal...
Efficient data management is vital any organization that access databases. Because computers’ hard d...
Commercial database systems make extensive use of caching to speed up query execution. Semantic cach...
In this article we propose Supervised Semantic Indexing (SSI) an algorithm that is trained on (query...