Abstract
Users and applications of today’s networked enterprises are often interested in high-quality, integrated information coming from external data sources, whose worth is often flawed by the information noise produced by unfocused or partial information. In this chapter we describe an ontology-driven framework for dynamic data integration of heterogeneous data sources, where user and application queries are dealt with in a context-aware fashion, i.e., by taking into account contextual meta-data about the system and the users in order to keep the information noise at bay.
Keywords
- Context Model
- Global Schema
- Relevant Area
- Conjunctive Query
- SPARQL Query
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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Orsi, G., Tanca, L. (2012). On-the-Fly and Context-Aware Integration of Heterogeneous Data Sources. In: Anastasi, G., Bellini, E., Di Nitto, E., Ghezzi, C., Tanca, L., Zimeo, E. (eds) Methodologies and Technologies for Networked Enterprises. Lecture Notes in Computer Science, vol 7200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31739-2_13
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DOI: https://doi.org/10.1007/978-3-642-31739-2_13
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