Quick Search:

uzh logo
Browse by:
bullet
bullet
bullet
bullet

Zurich Open Repository and Archive

Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-33119

Fuchs, N E; Schwitter, R (2007). Web-annotations for humans and machines. In: 4th European Semantic Web Conference (ESWC 2007), Innsbruck, Austria, 3 June 2007 - 7 June 2007, 458-472 .

[img]
Preview
PDF
1MB

View at publisher

Abstract

We propose to manually annotate web pages with computer-processable controlled natural language. These annotations have well-defined
formal properties and can be used as query relevant summaries to automatically
answer questions expressed in controlled natural language, and as the basis for
other forms of automated reasoning. Last, but not least, the annotations can also
serve as human-readable summaries of the contents of the web pages. Arguably, annotations written in controlled natural language can bridge the gap between informal and formal notations and leverage true collaboration between
humans and machines. This is a position paper that proposes a solution combining existing methods and techniques to achieve a highly relevant practical goal,
namely how to effectively access information on the web. However, our solution introduces a "chicken and egg" problem: a critical mass of web annotations
will be necessary that people perceive the value of these annotations and start
annotating web pages themselves. Only the future will show whether this – basically non-technical – problem can be solved.

Citations

Altmetrics

Downloads

28 downloads since deposited on 25 Mar 2010
5 downloads since 12 months

Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
DDC:000 Computer science, knowledge & systems
Language:English
Event End Date:7 June 2007
Deposited On:25 Mar 2010 10:51
Last Modified:09 Jul 2012 04:19
ISBN:978-3-540-72666-1
Publisher DOI:10.1007/978-3-540-72667-8_33

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page