Summary of the paper
| Title | From Field Notes towards a Knowledge Base |
|---|---|
| Authors | Piroska Lendvai and Steve Hunt |
| Abstract | We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitised expedition field notes are segmented and labelled automatically. In order to obtain perfect records, we create an annotation tool that features selective sampling, allowing domain experts to validate automatically labelled text, which is then stored in a database. Next, the records are enriched with semi-automatically derived secondary metadata. Metadata enable fine-grained querying, the results of which are additionally visualised using maps and photos. |
| Language | Language-independent |
| Topics | Text mining, Acquisition, Machine Learning, Tools, systems, applications |
Full paper |
From Field Notes towards a Knowledge Base |
Slides |
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| Bibtex | @InProceedings{LENDVAI08.163, author = {Piroska Lendvai and Steve Hunt}, title = {From Field Notes towards a Knowledge Base}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |