The abundance of ontology data is very crucial to the emerging semantic web. This paper proposes a framework that supports the generation of ontology data in a peer-to-peer environment. It not only enables users to co...
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ISBN:
(纸本)9783540724834
The abundance of ontology data is very crucial to the emerging semantic web. This paper proposes a framework that supports the generation of ontology data in a peer-to-peer environment. It not only enables users to convert existing structured data to ontology data aligned with given ontology schemas, but also allows them to publish new ontology data with ease. Besides ontology data generation, the common issue of data overlapping over the peers is addressed by the process of ontology data matching in the framework. This process helps turn the implicitly related data among the peers caused by overlapping into explicitly interlinked ontology data, which increases the overall quality of the ontology data. To improve matching accuracy, we explore ontology related features in the matching process. Experiments show that adding these features achieves better overall performance than using traditional features only.
data Grids are today's emerging infrastructure providing specialized services on handling large datasets that needs to be transferred and replicated among different grid sites. data replication is an important tec...
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ISBN:
(纸本)9783540729082
data Grids are today's emerging infrastructure providing specialized services on handling large datasets that needs to be transferred and replicated among different grid sites. data replication is an important technique for data availability and fast access. In this paper we present a comparison of various replication models and techniques employed by some major topologies used in data grid environment. We focus on dynamic strategies For replica placement in tree, Peer-to-Peer (P2P) and hybrid architectures. Beside tree model which is being implemented for many data Grid applications, hybrid and P2P grid models of replication are also emerging for providing scientific communities with better availability and efficient access to massive data.
Recently, web services have been increasingly used to integrate and build business applications on the Internet. Once a web service is published and deployed, clients and other applications can discover and invoke it....
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ISBN:
(纸本)9783540724834
Recently, web services have been increasingly used to integrate and build business applications on the Internet. Once a web service is published and deployed, clients and other applications can discover and invoke it. With the incredibly increasing number of web services on the Internet, it is critical for service users to discover desired services that match their requirements. In this paper, we present a novel approach for discovering web services. Based on the current dominating mechanisms of the discovering and describing web services with UDDI and WSDL, the proposed method utilizes Probabilistic Latent Semantic Analysis (PLSA) to capture semantic concepts hidden behind words in a query and the advertisements in services so that services matching is expected to be carried out at concept level. We also present related algorithms and preliminary experiments to evaluate the effectiveness of our approach.
What-if analysis is an important method to analyze the hypothetical scenarios based on the historical data. It provides useful information for the decision- maker. Multiple versions are critical to what-if analysis. I...
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Recent studies show that the link-structure-based measures of web page popularity prolong the procedure of new pages reaching their deserved ranking. In this paper we propose a promotional ranking scheme that offers a...
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ISBN:
(纸本)9783540724834
Recent studies show that the link-structure-based measures of web page popularity prolong the procedure of new pages reaching their deserved ranking. In this paper we propose a promotional ranking scheme that offers an opportunity for newly-created pages to be recognized. We conduct a simulation to evaluate our method. Experimental results show that our method remarkably raises the probability for new pages to obtain user-awareness.
HiBO is a bookmark management system that incorporates a number of web mining techniques and offers new ways to search, browse, organize and share webdata. One of the most challenging features that HiBO incorporates ...
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ISBN:
(纸本)9783540724834
HiBO is a bookmark management system that incorporates a number of web mining techniques and offers new ways to search, browse, organize and share webdata. One of the most challenging features that HiBO incorporates is the automated hierarchical structuring of bookmarks that are shared across users. One way to go about organizing shared files is to use one of the existing collaborative filtering techniques, identify the common patterns in the user preferences and organize bookmarked files accordingly. However, collaborative filtering suffers from some intrinsic limitations, the most critical of which is the complexity of the collaborative filleting algorithms that inevitably leads to the latency in updating the user profiles. In this paper, we address the dynamic maintenance of personalized views to shared files from a bookmark management system perspective and we study ways of assisting web users share their information space with the community. To evaluate the contribution of HiBO, we applied our web mining techniques to manage a large pool of bookmarked pages that are shared across community members. Results demonstrate that HiBO has a significant potential in assisting users organize and manage their shared data across web-based social networks.
Although wireless devices are the most Suitable device for ubiquitous environment, they have restrictive capacities when using internet services than desktop environments. Therefore this research proposes a wireless i...
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ISBN:
(纸本)9783540729082
Although wireless devices are the most Suitable device for ubiquitous environment, they have restrictive capacities when using internet services than desktop environments. Therefore this research proposes a wireless internet service method that uses contents-based personalization. The existing websites can easily and promptly access desired news articles and other data through RSS-linked web contents and by the personalization method. The proposed method will make using Wireless internet easier while lowering wireless contents production Costs. Moreover, personalized mobile web contents that satisfy the preferences of users can be serviced.
A scheduling strategy, called Golden Mean (GM), is designed to achieve the dynamic balance between the memory usage minimization and latency minimization by taking the status of the future workload, the current memory...
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ISBN:
(纸本)9783540729082
A scheduling strategy, called Golden Mean (GM), is designed to achieve the dynamic balance between the memory usage minimization and latency minimization by taking the status of the future workload, the current memory consumption and QoS requirement;of the query into account. In the scheduling strategy, the executing order of the operators is decided uniformly according to the Scoring Function. The static parameters in the Scoring Function can be customized to meet the need of various application scenarios, while the dynamical parameters adjusted automatically according to the current system status. In addition, the priority levels of queries can be guaranteed by GMl. The experimental results indicate that, the GM scheduling strategy is very effective in practice.
Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of intervention events to analyze the trends in the data ...
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In this paper, we propose a system architecture for handling and storing sensor data stream in real-time to support the spatial and/or temporal queries besides continuous queries. We exploit a segment-based method to ...
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ISBN:
(纸本)9783540729082
In this paper, we propose a system architecture for handling and storing sensor data stream in real-time to support the spatial and/or temporal queries besides continuous queries. We exploit a segment-based method to store the sensor data stream and reduce the managed tuples without any loss Of information, which lead to the improvement of the accuracy of query results. In addition, we offer a method to reduce the cost of join operations in processing spatiotemporal queries by filtering out the list of irrelevant sensors from the query range before making the join operation. We then present a design of the system architecture for processing spatial and/or temporal queries. Finally, we implement a climate monitoring application system.
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