Any semantic cache query processing technique is said to be efficient, if it is able to find maximum possible or complete answer from the cache within tractable time. This work evaluates previous semantic cache query ...
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Any semantic cache query processing technique is said to be efficient, if it is able to find maximum possible or complete answer from the cache within tractable time. This work evaluates previous semantic cache query processing techniques on the basis of maximum data retrieval (MDR). For this several cases are provided where previous query processing techniques are unable to find maximum possible or complete answer even when it is present in the cache. It is due to neglecting implicit knowledge (cross attribute knowledge) present in semantics of the cache. This knowledge is identified and formally presented here in this work.
Ontologies have been widely used to represent a domain and share knowledge. Various researchers working on the same domain can collaborate with each other using this shared knowledge. Building such ontology from scrat...
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Ontologies have been widely used to represent a domain and share knowledge. Various researchers working on the same domain can collaborate with each other using this shared knowledge. Building such ontology from scratch is a difficult and time consuming task. This is mainly due to the fact that normally the ontologist does not have expertise of the domain. Therefore to save time one can use existing ontologies. Several existing approaches like AKTiveRank, OntoQA, OntoKhoj and OntoRank have been proposed to search and rank ontologies but each having some limitation. Some techniques just used popularity of ontologies to rank ontologies, while some analyzed the structure of the ontology but missed the context of user. In this paper we propose an ontology searching and ranking scheme which also incorporates the context of the user by asking the required property relationship between concepts. Our system use Swoogle to fetch ontologies. We also propose a query generation process inorder to get those ontologies which contains synonyms and homonyms of user's queried concepts and properties.
Communication is one of the basic necessities of human beings. File transfer is one of the basic forms of communication. Reliability is the key issue raised due to complex nature of network and growth of computer scie...
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Communication is one of the basic necessities of human beings. File transfer is one of the basic forms of communication. Reliability is the key issue raised due to complex nature of network and growth of computer science. In this paper we have devised a technique for file transfer which identifies whether some portion of the file is received corrupt or not, and if yes then exactly what portion is corrupt. This technique provides reliability by eliminating the corruption from a file, hence requiring less bandwidth of the network by reducing the amount of data to be re-sent in case of corruption. The reliability is ensured with the help of file signature generation method which we have devised in this paper. The beauty of this technique that it generates hashes which are not easy to break, hence ensuring security of the file. We have used TCP as the underlying protocol, whereas TCP is already considered to be reliable, but the fact is that it does not ensure the reliable transfer over the network due to the fact that it uses CRC which is still vulnerable to network conditions and malicious attacks. Our technique operates at the application layer and tries to finish the cope up with the reliability over the file transfer. We have also developed a prototype to test the integrity of our technique. Empirical results ensure the reliability of our technique. The emphasis of this paper is to provide users with the corrupt free file transfer over the network, so that their time and valuable resources might be saved.
Greater network latencies and swelling amount of data provide sound reason for semantic caching for multi-db environment. Properly implemented semantic caches, provide better solution as compared to ordinary caches, a...
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Greater network latencies and swelling amount of data provide sound reason for semantic caching for multi-db environment. Properly implemented semantic caches, provide better solution as compared to ordinary caches, as they have ability to quickly infer whether the query can be satisfied by the cache or not, due to the organization of the cache. Increasing amount of data and data intensive applications on the network, user queries may spend lots of computational resources, these requirements swells cache size, along with the increasing overheads of storage and retrieval of query semantics. We need to devise an efficient indexing scheme that is able to fetch the cache semantics precisely and at a fast rate for increasing efficiency of the semantic cache and to cope up with current querying pressures. This research proposes a hierarchical indexing scheme that is significantly efficient to serve the purpose of fast semantic cache. Our proposed scheme is based on the SQL query semantics to index cached queries using the hierarchical information provided by the SQL query itself
Efficient utilization of resources is one of the reasons of popularity of semantic cache. The authors presented detailed survey with comprehensive criteria for efficient query processing. The criteria include size of ...
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Efficient utilization of resources is one of the reasons of popularity of semantic cache. The authors presented detailed survey with comprehensive criteria for efficient query processing. The criteria include size of data, retrieval time, and processing time of data. The size of data directly effects the retrieval time as well as the processing time. Processing and retrieval time are also dependent upon the faster semantic content matching process. The listed results identify the weaknesses in the existing caching techniques of query processing on the basis of defined criteria.
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