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Online Public Opinion Systems (OPOS) target at collecting, analyzing, summarizing and monitoring massive public opinions on the Internet in real time. Meanwhile, OPOS often have the ability to identify the key or sudden events, and thus notify related people immediately for rapid responses to these events. As part of this endeavor, this paper introduces the architecture and techniques of an OPOS that...
Content-based routing (CBR) attracts much attention due to its routing paradigm, which is based on the contents of messages rather than their destination addresses. However, most existing CBR systems implement the routing strategy by broadcasting the requests of users, which results in very heavy communication traffic. In addition, existing CBR systems cannot take into account the semantics of data...
The Web has been flooded with highly heterogeneous data sources that freely offer their data to the public. Careful design and compliance to standards is a way to cope with the heterogeneity. However, any agreement and compliance is practically hard to achieve across different communities. In this work we describe a framework that enables the exploitation of content across different scientific disciplines...
With the rapid development of Internet technology, web information system has achieved great development, and XML, as the new carrier and standard of information exchanging and calculating on the internet, has been widely used as well. While providing a uniform syntax and semi-structured data model, XML does not express semantics but only structure. This paper combines the web data integration problem...
Information sharing is one of the difficulties in the development of water information. Data integration technologies integrate various water conservancy data sources to provide users with highly efficient and transparent data access. Researches are hot on water conservancy domain data service integration systems adaptive to open, dynamic and changing Internet environment to guarantee the system service...
As sensor networks become increasingly popular, heterogeneous sensor networks are being interconnected into federated sensor networks and provide huge volumes of sensor data to large user communities for a variety of applications. Effective metadata management plays a crucial role in processing and properly interpreting raw sensor measurement data, and needs to be performed in a collaborative fashion...
Schema matching is a basic problem in many application fields as fundamental operation of schema. This paper analyses the advantages and limitations of iMAP and CM, and proposes an extended schema matching system architecture between Database Schemas (ESM). First, ESM filters unreasonable matches by preprocess and clustering process. Then it employs a set of special-purpose searchers to explore a...
The Semantic Web is a development of the World Wide Web in which the meaning (semantics) of information web is defined, making it possible for the web to "understand" and satisfy the requests of people. Semantic technologies are being added to enterprise solutions to accommodate new techniques for discovering relationships across different databases, business applications and Web services...
Our world is increasingly data-driven. The growth and value of data continue to exceed all predictions. Potential for business opportunity, economic growth, scientific discovery, and even national security lie hidden in the vast and growing data collections distributed across our Digital Universe. Harvesting the value of data requires finding, integrating, and analyzing data distributed across our...
XML is a self- describing and platform- free language, which has become a powerful tool when exchanging and sharing information among different heterogeneous system on internet. The data Consolidation method based XML Schema is put forward in this paper, by the combination of model method based XML and schema mapping method, schema Consolidation is realized, thus, public schema is produced, lastly,...
The growth of the Internet has dramatically changed the way information is accessed and managed. The Web contains an ever growing amount of distributed, semi-structured and uncontrolled data. In this new context, we should rethink how applications couple with DBMSs. Corporate intranets allowed a tiered coupling between applications and databases. However, that model is still too constrained, and unable...
With the rapid development of the Internet and Data Storage technology, people intends to store a large number of documents of various types on their PCs, but having no way to manage such heterogeneous data sources in a integrated way, such as data in more structured sources (e.g., spreadsheets), semi-structured sources (e.g., XML documents) and unstructured sources (e.g., text documents). This paper...
Internal cloud computing system can be built via constructing intra-enterprise server clusters, distributed database system, and parallel computing systems. We can define original semantic tags for digital images stored in the system or uploaded by users and store these tags in a distributed way. Then the corresponding search algorithms can be designed to help system to find the needed information...
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