The 12th International Semantic Web Conference
and the 1st Australasian Semantic Web Conference
21-25 October 2013, Sydney, Australia
Semantic Machine Learning and Linked Open Data Application for Agricultural and Environmental Informatics
Historical and spatial big data from the environmental and agricultural domains already exist in the modern technology-driven world. Government agencies, utilities and research bodies already have large amounts of data, but their value is not being fully realized because they are not integrated and consequently big knowledge is difficult to access. Semantic web, semantic machine learning and linked open data technology may help to build an "outer knowledge layer" so that this information could be accessed by domain people and the broader community. It can also be used to answer complex dynamic queries at run time from the system point of view.
Tuesday - Oct 22 - SMC
|12:45 - 13:45||Lunch|
|13:45 - 15:30||
Keynote Speaker: Prof. Anthony Cohn, University of Leeds, United Kingdom
Title: Learning about Activities from Spatio Temporal Data
Abstract: Spatio-temporal data is becoming increasing ubiquitous (from video, mobile sensors...). This talk addresses the question of how to understand such data in terms of activities which are taking place between the agents/objects involved which may involve temporally and/or spatially overlapping activites. Of particular interest are unsupervised technqniques so that the kinds of events and interactions can be mined with little or no supervision. I will present techniques for learning the spatio-temporal structure of tasks and events from video or other sensor data and show how this can be characterised using qualitative spatio-temporal descriptions to produce a high level symbolic description of the activities present.
About the Speaker:
Tony Cohn holds a Personal Chair at the University of Leeds, where he is Professor of Automated Reasoning. He is presently Director of the Institute for Artificial Intelligence and Biological Systems. His work on Knowledge Representation and Reasoning has a particular focus on qualitative spatial/spatio-temporal reasoning, the best known being the well cited Region Connection Calculus (RCC). His current research interests range from theoretical work on spatial calculi and spatial ontologies, to cognitive vision, modelling spatial information in the hippocampus, and detecting buried underground assets (e.g. utilities and archaeological residues) using a variety of geo-located sensors. He has been Chairman/President of SSAISB, ECCAI, KR inc, the IJCAI Board of Trustees and is presently Editor-in-Chief of the AAAI Press, Spatial Cognition and Computation, and the Artificial Intelligence journal. He was elected a founding Fellow of ECCAI, and is also a Fellow of AAAI, AISB, the BCS, and the IET. Work from the Cogvis project won the British Computer Society Machine Intelligence prize in 2004, and the VAULT system from his Mapping the Underworld project won a 2012 IET Innovation Award
|15:30 - 16:00||Afternoon Tea|
|16:00 - 17:30||
Paper Presentations on Semantic Machine Learning: