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To sovle the problems of lower accuracy and higher re-build workload caused by single path-based data locating methods in the traditional Web information extracting, a new method called multi-coordinate locating of information extracting has been presented in the paper, which constructs three different coordinate systems such as global coordinate, local coordinate and random coordinate to locate the...
Entity reconciliation is crucial to data interoperability in heterogeneous databases. In our previous research works, we proposed an entities matching algorithm based on attribute entropy to identify the corresponding entities, which can resolve the limitations of present main approaches and improve the precision of entities matching obviously. By our further research, we find that some attributes...
With progress of information technology, it is necessary to access multiple heterogeneous databases in order to get the desired information from different sources. One main problem encountered constantly among heterogeneous databases is entity heterogeneity, which arises when the same real-word entity type is represented using different identifiers in different application domains. So identifying...
Entities matching plays a crucial role in integrating multiple data sources. However, the inconsistent data formats and limited data sharing across heterogeneous databases become the bottlenecks for data interoperability and integration. So it is urgent to conduct research on entities heterogeneity and entities matching across multiple heterogeneous databases. After analyzing the limitations of present...
The Deep Web, a complex entity that contains information from a variety of source types, has gotten a lot of press in recent years. In order to unlock the vast Deep Web content, effective approaches to extract, index and search the query interfaces from dynamic Web pages should be studied carefully. Based on our previously proposed grouping patterns and pre-clustering algorithm, this paper presents...
The Deep Web is becoming a very important information resource. Unlike the traditional Web information retrieval, the contents on the Deep Web are only accessible through source query interfaces. However, for any domain of interest, there may be so many query interfaces that users need to access them in order to get the desired information, which is time-consuming and requires to build an integrated...
Identifying corresponding attributes is an important issue to realize data sharing and interoperability in heterogeneous databases. The main approaches at present adopted predefined rules to evaluate the similarity of attributes by comparing all attributes, which have some limitations. So two-phase-checking algorithm based on BP neural network was presented in this paper to realize attributes matching...
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