Automatic Extraction and Generation of Knowledge from Web Documents
Alani, Harith and Kim, Sanghee and Millard, David and Weal, Mark and Hall, Wendy and Lewis, Paul and Shadbolt, Nigel (2003) Automatic Extraction and Generation of Knowledge from Web Documents. Human Language Technology for the Semantic Web and Web Services, ISWC'03, Sanibel Island, Florida, USA.
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A large amount of digital information available is written as text documents in the form of web pages, reports, papers, emails, etc. Extracting the knowledge of interest from such documents in a timely fashion is therefore crucial. This paper provides an update on the Artequakt system which uses natural language tools to automatically extract knowledge about artists from multiple documents based on a predefined ontology. The ontology represents the type and form of knowledge to extract. This knowledge is then used to generate tailored biographies. Partial evaluation of some of the system’s components is also presented
|Subjects:||AKT Challenges > Knowledge acquisition|
AKT Challenges > Knowledge publishing
|Deposited By:||Alani, Harith|
|Deposited On:||24 September 2003|
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