4,532 research outputs found
Neogeography: The Challenge of Channelling Large and Ill-Behaved Data Streams
Neogeography is the combination of user generated data and experiences with mapping technologies. In this article we present a research project to extract valuable structured information with a geographic component from unstructured user generated text in wikis, forums, or SMSes. The extracted information should be integrated together to form a collective knowledge about certain domain. This structured information can be used further to help users from the same domain who want to get information using simple question answering system. The project intends to help workers communities in developing countries to share their knowledge, providing a simple and cheap way to contribute and get benefit using the available communication technology
Querying Probabilistic Ontologies with SPARQL
In recent years a lot of efforts was put into the field of Semantic Web
research to specify knowledge as precisely as possible. However, optimizing for precision
alone is not sufficient. The handling of uncertain or incomplete information is
getting more and more important and it promises to significantly improve the quality
of query answering in Semantic Web applications. My plan is to develop a framework
that extends the rich semantics offered by ontologies with probabilistic information,
stores this in a probabilistic database and provides query answering with the help of
query rewriting. In this proposal I describe how these three aspects can be combined.
Especially, I am focusing on how uncertainty is incorporated into the ABox and how
it is handled by the database and the rewriter during query answering
Towards an Intelligent Database System Founded on the SP Theory of Computing and Cognition
The SP theory of computing and cognition, described in previous publications,
is an attractive model for intelligent databases because it provides a simple
but versatile format for different kinds of knowledge, it has capabilities in
artificial intelligence, and it can also function like established database
models when that is required.
This paper describes how the SP model can emulate other models used in
database applications and compares the SP model with those other models. The
artificial intelligence capabilities of the SP model are reviewed and its
relationship with other artificial intelligence systems is described. Also
considered are ways in which current prototypes may be translated into an
'industrial strength' working system
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