Abstract
Inspired by the great success of information retrieval (IR) style keyword search on the web, keyword search on XML has emerged recently. Existing methods cannot resolve challenges addressed by using keyword search in Temporal XML documents. We propose a way to evaluate temporal keyword search queries over Temporal XML documents. Moreover, we propose a new ranking method based on the time-aware IR ranking methods to rank temporal keyword search queries results. Extensive experiments have been conducted to show the effectiveness of our approach.
Highlights
The success of keyword search in information retrieval (IR) has encouraged its emergence in XML [1,2,3] and databases [4, 5]
We propose an efficient algorithm based on these structures to get top-k results of temporal objects
Temporal expressions can refer to the same time interval even they are not exactly equal, i.e. the relevance of a temporal object may change over time
Summary
The success of keyword search in IR has encouraged its emergence in XML [1,2,3] and databases [4, 5]. Temporal keyword refers to exploiting time dimension that is embedded inside the XML documents to provide alternative search methods and user experience. Database applications contain information for long time periods, like, DBLP which keeps all publications that cover the years 1954 up till When searching in these documents archives, a temporal dimension plays an important role. Object-level may be very helpful to give more relevant answers especially if we adapt ranking objects rather than ranking nodes by taking time dimension into account In this case, keyword search results is either a single object which contains all keywords in the time specified or a set of interconnected objects that contain the keywords in that specified time.
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