Civil Engineering Commons^™

Ontology Mapping In Semantic Time Series Processing In Climate Change Prediction, Bojan Božić, Jan Peters-Anders, Gerald Schimak

International Congress on Environmental Modelling and Software

In today's time series processing there is more and more a need for addressing diverse user groups interested in a specific domain with appropriate user tailored time series data. The complexity of time series (e.g. involved data from different data sources and/or domains, visualization and representation, etc.) is growing rapidly. As a consequence, it means that users need to find a path through the jungle of time series data. After we have presented our concepts for semantic time series filtering and enrichment of time series with meta-information and annotations (Božić et al., 2012), we are now going to present a …

Metadata Extraction Using Semantic And Natural Language Processing Techniques, Rob Knapen, Thomas Hüsing, Klaus Jacob, Yke Van Randen, Stefan Reis, Onno Roosenschoon, Sander Janssen

International Congress on Environmental Modelling and Software

The World Wide Web and related technologies are playing an increasing role in the field of Integrated Environmental Modelling (IEM). Model integration software frameworks are more and more becoming web-enabled. The technologies and standards of the Web are used to access and run simulation models remotely (known as the Web of models) and are considered for enabling interoperability across model integration frameworks. Furthermore there is a growing number of local and global initiatives to provide open access to environmental data (Web of data) that can potentially be used as input for the scientific models. The availability of descriptive information of …

Designing Innovative Linked Open Data And Semantic Technologies In Agro-Environmental Modelling, Rob Lokers, Stasinos Konstantopoulos, Armando Stellato, Rob Knapen, Sander Janssen

International Congress on Environmental Modelling and Software

In recent years, innovative applications exploiting Linked Open Data (LOD) and the Semantic Web have opened up, combined and cross referenced high volumes of high-quality data and created tremendous new opportunities for data users as well as data providers. However, in order to serve the broadest community of users, technologies need to be developed that can manage large, constantly updated datasets and streams that are published in formats that were not designed with cross source linking in mind.

The EU-FP7 project SemaGrow aims to tackle this challenge by developing novel algorithms and methods for querying distributed triple stores, scalable and …