Ontologies are increasingly being recognized as a critical component in making networked knowledge accessible. Software architectures which can assemble knowledge from networked sources coherently according to the requirements of a particular task or perspective will be at a premium in the next gene
Extracting historical time periods from the Web
โ Scribed by Viktor de Boer; Maarten van Someren; Bob J. Wielinga
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 360 KB
- Volume
- 61
- Category
- Article
- ISSN
- 1532-2882
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
In this work we present an automatic method for the extraction of time periods related to ontological concepts from the Web. The method consists of two parts: an Information Extraction phase and a Semantic Representation phase. In the Information Extraction phase, temporal information about events that are associated with the target instance are extracted from Web documents. The resulting distribution is normalized and a model is fit to it. This distribution is then converted into a Semantic Representation in the second phase. We present the method and describe experiments where time periods for four different types of concepts are extracted and converted to a time representation vocabulary, based on the TIMEX2 annotation standard.
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