Converting and Annotating Quantitative Data Tables
| Autor: | Jan Top, M.L.I. Wigham, Mark van Assem, Hajo Rijgersberg |
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| Přispěvatelé: | Business Web and Media, Network Institute, Intelligent Information Systems, Business & Web |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783642177453 International Semantic Web Conference (1) Vrije Universiteit Amsterdam Proceedings of the 9th International Semantic Web Conference, ISWC 2010 van Assem, M F J, Rijgersberg, H, Wigham, M & Top, J L 2010, Converting and Annotating Quantitative Data Tables . in Proceedings of the 9th International Semantic Web Conference, ISWC 2010 . Shanghai, China, IEMS 2010, 1/01/10 . |
| Popis: | Companies, governmental agencies and scientists produce a large amount of quantitative (research) data, consisting of measurements ranging from e.g. the surface temperatures of an ocean to the viscosity of a sample of mayonnaise. Such measurements are stored in tables in e.g. spreadsheet files and research reports. To integrate and reuse such data, it is necessary to have a semantic description of the data. However, the notation used is often ambiguous, making automatic interpretation and conversion to RDF or other suitable format difficult. For example, the table header cell "f (Hz)" refers to frequency measured in Hertz, but the symbol "f" can also refer to the unit farad or the quantities force or luminous flux. Current annotation tools for this task either work on less ambiguous data or perform a more limited task. We introduce new disambiguation strategies based on an ontology, which allows to improve performance on "sloppy" datasets not yet targeted by existing systems. |
| Databáze: | OpenAIRE |
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