The realization of the Semantic Web is constrained by a knowledge acquisition bottleneck, i.e. the problem of how to add RDF mark-up to the millions of ordinary web pages that already exist. Information Extraction (IE) has been proposed as a solution to the annotation bottleneck. In the task based evaluation reported here, we compared the performance of users without access to annotation, users working with annotations which had been produced from manually constructed knowledge bases, and users working with annotations augmented using IE. We looked at retrieval performance, overlap between retrieved items and the two sets of annotations, and usage of annotation options. Automatically generated annotations were found to add value to the browsing experience in the scenario investigated.
Beschreibung
Browsing for information by highlighting automatically generated annotations
%0 Conference Paper
%1 1088637
%A Uren, Victoria
%A Motta, Enrico
%A Dzbor, Martin
%A Cimiano, Philipp
%B K-CAP '05: Proceedings of the 3rd international conference on Knowledge capture
%C New York, NY, USA
%D 2005
%I ACM
%K ir
%P 75--82
%R 10.1145/1088622.1088637
%T Browsing for information by highlighting automatically generated annotations: a user study and evaluation
%U http://portal.acm.org/citation.cfm?doid=1088622.1088637
%X The realization of the Semantic Web is constrained by a knowledge acquisition bottleneck, i.e. the problem of how to add RDF mark-up to the millions of ordinary web pages that already exist. Information Extraction (IE) has been proposed as a solution to the annotation bottleneck. In the task based evaluation reported here, we compared the performance of users without access to annotation, users working with annotations which had been produced from manually constructed knowledge bases, and users working with annotations augmented using IE. We looked at retrieval performance, overlap between retrieved items and the two sets of annotations, and usage of annotation options. Automatically generated annotations were found to add value to the browsing experience in the scenario investigated.
%@ 1-59593-163-5
@inproceedings{1088637,
abstract = {The realization of the Semantic Web is constrained by a knowledge acquisition bottleneck, i.e. the problem of how to add RDF mark-up to the millions of ordinary web pages that already exist. Information Extraction (IE) has been proposed as a solution to the annotation bottleneck. In the task based evaluation reported here, we compared the performance of users without access to annotation, users working with annotations which had been produced from manually constructed knowledge bases, and users working with annotations augmented using IE. We looked at retrieval performance, overlap between retrieved items and the two sets of annotations, and usage of annotation options. Automatically generated annotations were found to add value to the browsing experience in the scenario investigated.},
added-at = {2010-05-06T18:58:05.000+0200},
address = {New York, NY, USA},
author = {Uren, Victoria and Motta, Enrico and Dzbor, Martin and Cimiano, Philipp},
biburl = {https://www.bibsonomy.org/bibtex/2204761010515949a53e747403268aabc/wnpxrz},
booktitle = {K-CAP '05: Proceedings of the 3rd international conference on Knowledge capture},
description = {Browsing for information by highlighting automatically generated annotations},
doi = {10.1145/1088622.1088637},
interhash = {62156a0d1942a44a9de9fef8697e8ecc},
intrahash = {204761010515949a53e747403268aabc},
isbn = {1-59593-163-5},
keywords = {ir},
location = {Banff, Alberta, Canada},
pages = {75--82},
publisher = {ACM},
timestamp = {2010-05-06T18:58:05.000+0200},
title = {Browsing for information by highlighting automatically generated annotations: a user study and evaluation},
url = {http://portal.acm.org/citation.cfm?doid=1088622.1088637},
year = 2005
}