Abstract
Time plays a crucial role in describing dynamic domain and resources on the Web. Most of current ontology languages, without notion of time or change, can only describe domain knowledge in a static sense. In order to bring structure to time-varying information, we propose an interval-based knowledge model (IKM), which is composed of a temporal knowledge schema, temporal integrity constraints and an interpretation structure. In the IKM, a group of expressive temporal constructs are provided to capture the temporal features of concepts, attributes and relationships; a group of rules are defined to enrich expressivity of the model; formal meaning is given to the model via an interpretation with model-theoretical semantics. A high-level query language is defined on the model, too.
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Huang, H., Shi, Z., He, X., Qiu, L., Luo, J. (2009). An Interval-Based Knowledge Model and Query Language for Temporal Information. In: Lukose, D., Shi, Z. (eds) Multi-Agent Systems for Society. PRIMA 2005. Lecture Notes in Computer Science(), vol 4078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03339-1_25
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DOI: https://doi.org/10.1007/978-3-642-03339-1_25
Publisher Name: Springer, Berlin, Heidelberg
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