Web-annotations for humans and machines

Norbert E. Fuchs*, Rolf Schwitter

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationThe Semantic Web: Research and Applications - 4th European Semantic Web Conference, ESWC 2007, Proceedings
EditorsEnrico Franconi, Michael Kifer, Wolfgang May
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Pages458-472
Number of pages15
Volume4519 LNCS
ISBN (Print)3540726667, 9783540726661
Publication statusPublished - 2007
Event4th European Semantic Web Conference, ESWC 2007 - Innsbruck, Austria
Duration: 3 Jun 20077 Jun 2007

Other

Other4th European Semantic Web Conference, ESWC 2007
CountryAustria
CityInnsbruck
Period3/06/077/06/07

Fingerprint Dive into the research topics of 'Web-annotations for humans and machines'. Together they form a unique fingerprint.

  • Cite this

    Fuchs, N. E., & Schwitter, R. (2007). Web-annotations for humans and machines. In E. Franconi, M. Kifer, & W. May (Eds.), The Semantic Web: Research and Applications - 4th European Semantic Web Conference, ESWC 2007, Proceedings (Vol. 4519 LNCS, pp. 458-472). Berlin: Springer, Springer Nature.