Research on Entity-based Matching Technology Between Text and XML
Currently,large amounts of data are stored in XMLwithin many enterprises,such as aircraft enterprise,and there is hardly any relationship between them and other business text data. In the field of heterogeneous data integration,there is hardly any research on matching technique between text and XML. This paper first proposes an approach to integrate plain text data and XML document.The approach is constructed with a two-step framework: first,extracting entities of the text by conditional-random-fields based entity extraction tool; then,locating the closest semantic fragment within the XML file that covers all of the extracted entities and instances by Entity-based Closest Semantic Fragment( ECSF) search algorithm. Furthermore,the entity node should be the ancestor of the corresponding instance node. Our evaluation shows that ECSF algorithm performs efficiently and achieves good result,including rate of recall and accuracy.