Izvorni znanstveni članak
https://doi.org/10.20532/cit.2016.1002861
An Object-Oriented Approach of Keyword Querying over Fuzzy XML
Ting Li
orcid.org/0000-0001-7659-8123
; School of Computer Science and Engineering, Northeastern University, Shenyang, China
Sažetak
As the fuzzy data management has become one of the main research topics and directions, the question of how to obtain the useful information by means of keyword query from fuzzy XML documents is becoming a subject of an increasing needed investigation. Considering
the keyword query methods on crisp XML documents, smallest lowest common ancestor (SLCA) semantics is one of the most widely accepted semantics. When users propose the keyword query on fuzzy XML documents with the SLCA semantics, the query results are always incomplate, with low precision, and with no possibilities values returned. Most of keyword query semantics on XML documents only consider query results matching all keywords, yet users may also be interested in the query results matching partial keywords. To overcome these limitations, in this paper, we investigate how to obtain more comprehensive and meaningful results of keyword querying on fuzzy XML documents. We propose a semantics of object-oriented keyword querying on fuzzy XML documents. First, we introduce the concept of "object tree", analyze different types of matching result object
trees and find the "minimum result object trees" which contain all keywords and "result object trees" which contain partial keywords. Then an object-oriented keyword query algorithm ROstack is proposed
to obtain the root nodes of these matching result object trees, together with their possibilities. At last, experiments are conducted to verify the effectiveness and efficiency of our proposed algorithm.
Ključne riječi
fuzzy XML; keyword, query; object-oriented; possibility
Hrčak ID:
170423
URI
Datum izdavanja:
30.9.2016.
Posjeta: 931 *