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 &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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