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Nowadays, many organizations face the problem of how to accessing the legacy data by means of flexible mechanism. As a powerful and efficient solution to this problem, ontology-based data access (OBDA) technology enables people to utilize data from heterogeneous sources through a well-defined ontology. However, under the dynamic environment, the ontology which acts as concept view in an OBDA application...
This paper describes a system for automated resume information extraction to support rapid resume search and management. The system is capable of extracting several important informative fields from a free format resume using a set of natural language processing (NLP) techniques. We describe a working system, for automatic resume management. The system is capable of extracting six major fields of...
With the rapid growth of web information, there is an increasing need to easily and efficiently acquire accurate information from the massive and heterogamous web. Web information extraction is such a research area to meet these needs. In this paper, we analyze the shortcomings of related researches and systems and find that when extracting accurate web information with complex structures, few systems...
With the increase of the amount of information stored in P2P networks, how to search the information satisfying users' needs efficiently becomes very important. Current researches on search algorithms focus on increasing search efficiency(measured by the length of routing path) or decreasing search cost(measured by the number of messages) at the cost of sacrificing the recall rate. However, there...
With the rapid development of new media, such as computer and Internet, extract valuable entity attribute information from Web text can be significant. Aiming at this problem, this paper puts forward SALmap, this model calls seed method at first, which will create common candidate attribute label sets by defining data format rules. Then we construct the mapping relationship between the attributes...
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