In this chapter, firstly, the LCA-based approaches for XML keyword search are analyzed and compared with each other. Several fundamental flaws of LCA-based models are explored, of which, the most important one is that the search results are eternally determined nonadjustable. Then, the chapter presents a system of adaptive keyword search in XML, called AdaptiveXKS, which employs a novel and flexible result model for avoiding these defects. Within the new model, a scoring function is presented to judge the quality of each result, and the considered metrics of evaluating results are weighted and can be updated as needed. Through the interface, the system administrator or the users can adjust some parameters according to their search intentions. One of three searching algorithms could also be chosen freely in order to catch specific querying requirements. Section 1 describes the Introduction and motivation. Section 2 defines the result model. In section 3 the scoring function is discussed deeply. Section 4 presents the system implementation and gives the detailed keyword search algorithms. Section 5 presents the experiments. Section 6 is the related work. Section 7 is the conclusion of this chapter.
Efficient XML Keyword Search Based on DAG-Compression
