Abstract
An important precondition for realizing the goal of a semantic web is the ability to annotate web resources with semantic information. In order to carry out this task, users need appropriate representation languages, ontologies, and support tools. In this paper we present MnM, an annotation tool which provides both automated and semi-automated support for annotating web pages with semantic contents. MnM integrates a web browser with an ontology editor and provides open APIs to link to ontology servers and for integrating information extraction tools. MnM can be seen as an early example of the next generation of ontology editors, being web-based, oriented to semantic markup and providing mechanisms for large-scale automatic markup of web pages.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
S. Bechhofer and C. Goble: Towards Annotation Using DAML+OIL. First International Conference on Knowledge Capture (K-CAP 2001). Workshop on Semantic Markup and Annotation. Victoria, B.C., Canada. October 2001.
D. Brickley, and R. Guha: Resource Description Framework(RDF) Schema Specification 1.0. Candidate recommendation, World Wide Web Consortium, 2000. URL: http://www.w3.org/TR/2000/CR-rdf-schema-20000327.
F. Ciravegna: Adaptive Information Extraction from Text by Rule Induction and Generalisation, Proc. of 17th International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, August 2001.
F. Ciravegna: LP2 an Adaptive Algorithm for Information Extraction from Web-related Texts. Proc. of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining held in conjunction with the 17th International Conference on Artificial Intelligence (IJCAI-01), August, 2001.
F. Ciravegna: Challenges in Information Extraction from Text for Knowledge Management in IEEE Intelligent Systems and Their Applications, November 2001, (Trend and Controversies).
F. Ciravegna and D. Petrelli: User Involvement in Adaptive Information Extraction: Position Paper in Proceedings of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining held in conjunction with the 17th International Conference on Artificial Intelligence (IJCAI-01), August, 2001.
J. Domingue: Tadzebao and WebOnto: Discussing, Browsing, and Editing Ontologies on the Web. Proceedings of the 11th Banff Knowledge Acquisition Workshop, Banff, Alberta, Canada, April 18–23, 1998.
J. Domingue and P. Scott: KMi Planet: A Web Based News Server. Asia Pacific Computer Human Interaction Conference (APCHF’98), Shonan Village Center, Hayama-machi, Kanagawa, Japan, 15–17 July, 1998.
J. Domingue and E. Motta: Planet-Onto: From News Publishing to Integrated Knowledge Management Support. IEEE Intelligent Systems Special Issue on “Knowledge Management and Knowledge Distribution over the Internet”, May/June, 2000, pp. 26–32. (ISSN 1094-7167).
E. A. Feigenbaum: The art of artificial intelligence 1: Themes and case studies of knowl edge engineering. Technical report, Pub. no. STAN-SC-77-621, Stanford University, Department of Computer Science, 1977.
D. Fensel. and E. Motta: Structured Development of Problem Solving Methods. Transactions on Knowledge and Data Engineering 13(6):9131–932, 2001.
T. R. Gruber: A Translation Approach to Portable Ontology Specifications. Knowledge Adquisition 5(2), 199–220, 1993.
S. Handschuh and S. Staab and A. Maedche: CREAM-Creating relational metadata with a component-based, ontology-driven annotation framework. First International Conference on Knowledge Capture (K-CAP 2001), Victoria B.C., October 2001.
P. Hayes: RDF Model Theory, W3C Working Draft, February 2002 URL: http://www.w3.org/TR/rdf-mt/.
J. Heflin and J. Hendler: A Portrait of the Semantic Web in Action. IEEE Intelligent Systems, 16(2), 2001.
J. Kahan and M. Koivunen and E. Prud’Hommeaux and R. Swick: Annotea: Open RDF Infrastructure for Shared Web Annotations. In Proc. of the WWW10 International Conference. Hong Kong, 2001.
Y. Kalfoglou and J. Domingue and E. Motta.and M. Vargas-Vera and S. Buckingham Shum: MyPlanet: an ontology-driven Web based personalised news service. Proceedings of the IJCAI’01 workshop on Ontologies and Information Sharing, Seattle, WA, USA 2001.
P. Kogut and W. Holmes: AeroDAML: Applying Information Extraction to Generate DAML Annotations from Web Pages. First International Conference on Knowledge Capture (K-CAP 2001). Workshop on Knowledge Markup and Semantic Annotation, Victoria, B.C., Canada, October 2001.
N. Kushmerick and D. Weld and R. Doorenbos: Wrapper induction for information extraction, Proc. of 15th International Conference on Artificial Intelligence, IJCAI-97.
O. Lassila and R. Swick: Resource Description Framework (RDF): Model and Syntax Specification. Recommendation, World Wide Web Consortium, 1999. URL: http://www.w3.org/TR/REC-rdf-svntax/.
E. Riloff: An Empirical Study of Automated Dictionary Construction for Information Extraction in Three Domains. The AI Journal, 85, 101–134, 1996.
D. Maynard and V. Tablan and H. Cunningham and C. Ursu and O. Saggion and K. Bontcheva and Y. Wilks: Architectural Elements of Language Engineering Robustness. Journal of Natural Language Engineering-Special Issue on Robust Methods in Analysis of Natural Language Data, forthcoming, 2002.
S. McIlraith and T. C. Son.and H. Zeng: Semantic Web Services, IEEE Intelligent Systems, Special Issue on the Semantic Web, Volume 16, No. 2, pp. 46–53, March/April, 2001.
R. S. Mickalski and I. Mozetic and J. Hong and H. Lavrack: The multi purpose incremental learning system AQ15 and its testing application to three medical domains’, in Proceedings of the 5th National Conference on Artificial Intelligence, Philadelphia. Morgan Kaufmann publisher, 1986.
E. Motta: Reusable Components for Knowledge Models. IOS Press, Amsterdam, 1999.
E. Riloff: An Empirical Study of Automated Dictionary Construction for Information Extraction in Three Domains. The AI Journal, 85, 101–134, 1996.
S. Staab and A. Mädche and S. Handschuh: An Annotation Framework for the Semantic Web. In: S. Ishizaki (ed.), Proc. of The First International Workshop on MultiMedia Annotation. January, 30–31, 2001. Tokyo, Japan.
M. Vargas-Vera and J. Domingue and Y. Kalfoglou and E. Motta and S. Buckingham-Shum: Template-driven information extraction for populating ontologies. Proc of the IJCAI’01 Workshop on Ontology Learning, Seattle, WA, USA 2001.
M. Vargas-Vera and E. Motta and J. Domingue and S. Buckingham Shum and M. Lanzoni: Knowledge Extraction by using an Ontology-bases Annotation Tool. First International Conference on Knowledge Capture (K-CAP 2001). Workshop on Knowledge Markup and Semantic Annotation, Victoria B.C., Canada, October 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vargas-Vera, M., Motta, E., Domingue, J., Lanzoni, M., Stutt, A., Ciravegna, F. (2002). MnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup. In: Gómez-Pérez, A., Benjamins, V.R. (eds) Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. EKAW 2002. Lecture Notes in Computer Science(), vol 2473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45810-7_34
Download citation
DOI: https://doi.org/10.1007/3-540-45810-7_34
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44268-4
Online ISBN: 978-3-540-45810-4
eBook Packages: Springer Book Archive