Comparing XML-IR Query Formation Interfaces
XML information retrieval (XML-IR)
systems differ from traditional information retrieval
systems by using structure of XML documents to
retrieve more specific units of information than the
documents themselves. Users interact with XML-IR
systems via structured queries that express their
content and structural requirements. Historically,
it has been common belief within the XML-IR
community that structured queries will perform better
than traditional keyword-only queries. However,
recent system-orientated analysis has show that this
assumption may be incorrect when system performance
is averaged over a set of queries. Here, we test this
assumption with users via a simulated work task
experiment. We compare a keyword only interface
with two user friendly XML-IR interfaces: NLPX, a
natural language interface and Bricks, a query-bytemplate
interface. This is the first time that a XML-IR
natural language interface has been tested in user
experiments. We compare the retrieval performance
of all three interfaces and the usability of the two
structured interfaces. Our results correspond to those
of the system-orientated evaluation and indicate that
structured queries do not aid retrieval performance.
They also show that in terms of retrieval performance
and usability the structured interfaces are comparable.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Journal Article|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2006 (The authors)|
|Deposited On:||25 Sep 2007|
|Last Modified:||09 Jun 2010 22:46|
Repository Staff Only: item control page