Abstract
The semantic web is becoming a realizable technology due to the efforts of researchers to develop semantic markup languages such as the DARPA Agent Markup Language (DAML). A major problem that faces the semantic web community is that most information sources on the web today lack semantic markup. To fully realize the potential of the semantic web, we must find a way to automatically upgrade information sources with semantic markup. We have developed a system based on the STALKER algorithm that automatically generates DAML markup for a set of documents based on previously seen labeled training documents. Our rule-learning approach to semantic markup is highly effective when dealing with semistructured documents.
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© 2004 Springer-Verlag Berlin Heidelberg
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Krueger, W., Nilsson, J., Oates, T., Finin, T. (2004). Automatically Generated DAML Markup for Semistructured Documents. In: van Elst, L., Dignum, V., Abecker, A. (eds) Agent-Mediated Knowledge Management. AMKM 2003. Lecture Notes in Computer Science(), vol 2926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24612-1_19
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DOI: https://doi.org/10.1007/978-3-540-24612-1_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20868-6
Online ISBN: 978-3-540-24612-1
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