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2007 Eleventh International IEEE EDOC Conference Workshop
Semantic Query Answering with Time-Series Graphs
Annapolis, Maryland, USA
October 15-October 16
ISBN: 978-0-7695-3338-4
| ASCII Text | x | ||
| Leo Ferres, Michel Dumontier, Natalia Villanueva-Rosales, "Semantic Query Answering with Time-Series Graphs," 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops, pp. 117-124, 2007 Eleventh International IEEE EDOC Conference Workshop, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/EDOCW.2007.28, author = {Leo Ferres and Michel Dumontier and Natalia Villanueva-Rosales}, title = {Semantic Query Answering with Time-Series Graphs}, journal ={2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops}, volume = {0}, year = {2007}, isbn = {978-0-7695-3338-4}, pages = {117-124}, doi = {http://doi.ieeecomputersociety.org/10.1109/EDOCW.2007.28}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops TI - Semantic Query Answering with Time-Series Graphs SN - 978-0-7695-3338-4 SP117 EP124 A1 - Leo Ferres, A1 - Michel Dumontier, A1 - Natalia Villanueva-Rosales, PY - 2007 VL - 0 JA - 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EDOCW.2007.28
Statistical graphs are ubiquitous mechanisms for data visualization such that most, if not all, enterprises communicate information through them. However, many graphs are stored as unstructured images or proprietary binary objects, making them difficult to work with beyond the reports in which they are embedded. While graphs can be mapped to more common XML representations, these lack expressive semantics to discover new knowledge about them or to answer queries at various levels of granularity. This paper describes an OWL ontology that facilitates the representation, exchange, reasoning and query answering of statistical graph data. We illustrate the advantages of using an ontological approach to discover and query about time-series statistical graphs.
Citation:
Leo Ferres, Michel Dumontier, Natalia Villanueva-Rosales, "Semantic Query Answering with Time-Series Graphs," edocw, pp.117-124, 2007 Eleventh International IEEE EDOC Conference Workshop, 2007
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