Semantic annotation and Semantic search in Cultural Heritage.
This event took place on Wednesday 17 December 2008 at 11:30
Michiel Hildebrand Centre for Mathematics and Computer Science (CWI) in Amsterdam
In our research we investigate to what extent explicit semantics can be used to support end users with the exploration of large heterogeneous collections. In particular we consider cultural heritage, a knowledge-rich domain in which collections are typically described by multiple thesauri. We focus on three types of end user functionality.
First, searching for terms within multiple thesauri to support manual annotation. Second, keyword search, as it has become the de-facto standard to access data on the web. Third, faceted browsing as it has become a popular method to interactively explore (image) collections.
For these three tasks we question the role of explicit semantics in the search algorithm, the result organization and visualization and how to evaluate the added value of for end users. We investigate these questions by the implementation and evaluation of prototype systems on top of large and real wold data collections.
This event took place on Wednesday 17 December 2008 at 11:30
In our research we investigate to what extent explicit semantics can be used to support end users with the exploration of large heterogeneous collections. In particular we consider cultural heritage, a knowledge-rich domain in which collections are typically described by multiple thesauri. We focus on three types of end user functionality.
First, searching for terms within multiple thesauri to support manual annotation. Second, keyword search, as it has become the de-facto standard to access data on the web. Third, faceted browsing as it has become a popular method to interactively explore (image) collections.
For these three tasks we question the role of explicit semantics in the search algorithm, the result organization and visualization and how to evaluate the added value of for end users. We investigate these questions by the implementation and evaluation of prototype systems on top of large and real wold data collections.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
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Future Internet is...

To succeed the Future Internet will need to address a number of cross-cutting challenges including:
- Scalability in the face of peer-to-peer traffic, decentralisation, and increased openness
- Trust when government, medical, financial, personal data are increasingly trusted to the cloud, and middleware will increasingly use dynamic service selection
- Interoperability of semantic data and metadata, and of services which will be dynamically orchestrated
- Pervasive usability for users of mobile devices, different languages, cultures and physical abilities
- Mobility for users who expect a seamless experience across spaces, devices, and velocities
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