PhD Research Project - Processing Natural Language Text into High Quality RDF Graphs - Possible Funding for a Qualified Student
We find an abundance of information on the internet that is presented in natural language, e.g. written English. Such information is ”unstructured'' in the sense that it is not machine-readable, thus making it infeasible to formally or automatically analyse for the purposes of information extraction, querying, linking, or repurposing. Making natural language machine readable would enable development of many different applications with significant impact such as question-answering on the internet, interactive dialogue systems, reasoning tools using natural language, text summarisation, and others. There have been advances the last several years, resulting in improved tools that parse and semantically represent text, then process it into a machine-readable format, e.g. RDF, that is highly suited to extraction, querying, linking, and so on. Thus, there exists a processing “pipeline'' to take natural language into machine-readable formats. While the pipeline functions, it is very limited. The objective of this PhD project is to extend the capabilities of current tools to additional syntactic and semantic constructions, train the tools on alternative corpora (health, law, environment), to improve RDF output with auxiliary information from ontologies or structured knowledge, and to develop a framework to evaluate the performance of the tool. For further details: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=54128 Adam Wyner http://www.abdn.ac.uk/ncs/people/profiles/azwyner Jeff Pan http://www.abdn.ac.uk/staffpages/jeff.z.pan The University of Aberdeen is a charity registered in Scotland, No SC013683. _______________________________________________ RuleML-all mailing list [email protected] http://ruleml.org/mailman/listinfo/ruleml-all_ruleml.org
