Abstract
In the paper we show how imposing the contextual structure of a knowledge base can lead to extending its expressiveness without changing the underlying language. We show this using the example of Description Logics, which constitutes a base for a range of dialects for expressing knowledge in ontologies (including state-of-the-art OWL). While the contextual frameworks have been used in knowledge bases, they have been perceived as a tool for merging different viewpoints and domains, or a tool for simplifying reasoning by constraining the range of the statements being considered. We show, how it may also be used as a way of expressing more complicated interrelationships between terms, and discuss the import of this fact for authoring ontologies.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation strony 260 - 272
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Waloszek A., Waloszek W..: Extending Expressiveness of Knowledge Description with Contextual Approach, W: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017, ,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-58274-0_22
- Verified by:
- Gdańsk University of Technology
seen 108 times
Recommended for you
Gaining knowledge through experience: developing decisional DNA applications in robotics
- H. Zhang,
- C. Sanin,
- E. Szczerbicki