Word association norms, mutual information, and lexicography
Computational Linguistics
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Mining semantically related terms from biomedical literature
ACM Transactions on Asian Language Information Processing (TALIP)
Reviewing and Evaluating Automatic Term Recognition Techniques
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Focused Search in Digital Archives
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Unified access to heterogeneous data in cultural heritage
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
A semantic web approach to heterogeneous metadata integration
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Hi-index | 0.00 |
Cultural heritage institutions are making their digital content available and searchable online. Digital metadata descriptions play an important role in this endeavour. This metadata is mostly manually created and often lacks detailed annotation, consistency and, most importantly, explicit semantic content descriptors which would facilitate online browsing and exploration of available information. This paper proposes the enrichment of existing cultural heritage metadata with automatically generated semantic content descriptors. In particular, it is concerned with metadata encoding archival descriptions (EAD) and proposes to use automatic term recognition and term clustering techniques for knowledge acquisition and content-based document classification purposes.