Abstract
Discussion mining is a preliminary study on gathering knowledge based on the content of face-to-face discussion meetings. To extract knowledge from discussion content, we have to analyze not only the surface arguments, but also semantic information such as a statement’s intention and the discussion flow during meetings. We require a discussion ontology for this information. This discussion ontology forms the basis of our discussion methodology and requires semantic relations between elements in meetings. We must clarify these semantic relations to build the discussion ontology. We therefore generated discussion content and analyzed meeting metadata to build the ontology.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Nagao, K., Kaji, K., Yamamoto, D., Tomobe, H.: Discussion Mining: Annotation-Based Knowledge Discovery from Real World Activities. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds.) PCM 2004. LNCS, vol. 3331, pp. 522–531. Springer, Heidelberg (2004)
Schultz, T., Waibel, A., Bett, M., Metze, F., Pan, Y., Ries, K., Schaaf, T., Soltau, H., Martin, W., Yu, H., Zechner, K.: The ISL Meeting Room System. In: Proc. of the Workshop on Hands-Free Speech Communication (HSC-2001) (2001)
Araki, M., Itoh, T., Kumagai, T., Ishizaki, M.: Proposal of a standard utterance-unit tagging scheme (In Japanese). Journal of Japanese Society for artificial intelligence 14(2), 251–260 (1999)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Francisco (1993)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Tomobe, H., Nagao, K. (2007). Discussion Ontology: Knowledge Discovery from Human Activities in Meetings. In: Washio, T., Satoh, K., Takeda, H., Inokuchi, A. (eds) New Frontiers in Artificial Intelligence. JSAI 2006. Lecture Notes in Computer Science(), vol 4384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69902-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-69902-6_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69901-9
Online ISBN: 978-3-540-69902-6
eBook Packages: Computer ScienceComputer Science (R0)