Semantics Oriented Inference of Keyword Search Intention over XML Documents
نویسندگان
چکیده
منابع مشابه
Object Semantics for XML Keyword Search
It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...
متن کاملPath-based keyword search over XML streams
Recently, a great deal of attention has been focusing on processing keyword search over XML and XML streams. The keyword search is simple and provides a user-friendly way of retrieving required data from an XML data. Though its popularity, there is a concern over its efficiency. For this reason, several methods have been proposed to enable keyword search over XML streams. However, most of them ...
متن کاملProximity Keyword Search in Xml Documents Using CTREE Index
Proximity Keyword Search is especially useful when searching on the web and in long unstructured documents such as XML. This system is designed to handle novel features of Proximity Keyword Search in XML documents. It concentrates mainly on producing ranked results efficiently for keyword search queries over XML documents. The proposed system is first of its kind in which the keyword string is ...
متن کاملEffective Keyword Search in XML Documents Based on MIU
Keyword search is an effective approach for most users to search for information because they do not need to learn complex query languages or the underlying structures of the data. This paper focuses on effective keyword search in XML documents which are modeled as labeled trees. We first analyze the problems caused by the refinement of result granularity during XML keyword search and then prop...
متن کاملExploiting ID References for Effective Keyword Search in XML Documents
In this paper, we study novel Tree + IDREF data model for keyword search in XML. In this model, we propose novel Lowest Referred Ancestor (LRA) pair, Extended LRA (ELRA) pair and ELRA group semantics for effective and efficient keyword search. We develop efficient algorithms to compute the search results based on our semantics. Experimental study shows the superiority of our approach.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2012
ISSN: 1812-5638
DOI: 10.3923/itj.2013.51.60