Abstract
The concept of Semantic Web, introduced by Berners-Lee in 2001, emphasizes importance of expressing semantics of data stored on the web. The introduced data format called Resource Description Framework (RDF) is a meaningful way of expressing and exploring data relations. It provides basics for constructing semantics-oriented data formats. More and more often RDF is used to represent variety of data including N-ary relations and temporal information. On many occasions this results in complex data structures. Their utilization requires a full understating of applied data configurations.
This paper presents a fuzzy-based Linguistically Oriented RDF Interface – LORI – for querying RDF data containing temporal information and using non-trivial data structures. The interface includes specialized built-in predicates suitable for constructing temporal queries and supporting imprecise phrases describing time and data features, and high-level predicates built based on them. A simple case study using LORI interface for imprecise querying about time-based events is presented.
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Keywords
- Resource Description Framework
- Mapping Rule
- Triple Pattern
- Fuzzy Processing
- Resource Description Framework Data
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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RobatJazi, M., Reformat, M.Z., Pedrycz, W., Musilek, P. (2016). LORI: Linguistically Oriented RDF Interface for Querying Fuzzy Temporal Data. In: Andreasen, T., et al. Flexible Query Answering Systems 2015. Advances in Intelligent Systems and Computing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-319-26154-6_26
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DOI: https://doi.org/10.1007/978-3-319-26154-6_26
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