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An Expert-driven Ontology-based Approach to the Collaborative Acquisition of Information
DOI:
https://doi.org/10.24215/16666038.17.e17Keywords:
expert-driven, ontology, collaborative acquisition of informationAbstract
This article presents design decisions for an ontologybased framework supporting an expert-driven approach to the collaborative acquisition, integration and analysis of information. It describes a three-tier organization in which components facilitate establishing an information system to assist domain experts in addressing multi-causal dynamic situations where heterogeneous information sources must be integrated and the interaction of a variety of actors must be supported in large geographical areas with possibly low or intermittent connectivity levels. The approach and envisioned framework are illustrated with a case-study in the design of bikeways in urban zones.
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References
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[19] “Parliament (tm) - a high-performance triple store, sparql endpoint, and reasoner.” Available at: http://parliament.semwebcentral.org . Accessed on 2017-06-30.
[2] T. R. Gruber, “A translation approach to portable ontology specifications,” Knowl. Acquis., vol. 5, pp. 199–220, June 1993.
[3] H. Lieberman, F. Paterno, and V. Wulf, eds., End User Development. Springer, 2006.
[4] F. Paternò, “End user development: Survey of an emerging field for empowering people,” ISRN
Software Engineering, vol. 5, no. 11, pp. 1–11, 2013.
[5] A. J. Ko, R. Abraham, L. Beckwith, A. Blackwell, M. Burnett, M. Erwig, C. Scaffidi, J. Lawrance, H. Lieberman, B. Myers, M. B. Rosson, G. Rothermel, M. Shaw, and S. Wiedenbeck, “The state of the art in end-user software engineering,” ACM Comput. Surv., vol. 43, pp. 21:1–21:44, Apr. 2011.
[6] M. M. Burnett and B. A. Myers, “Future of end-user software engineering: Beyond the silos,” in
Proceedings of the on Future of Software Engineering, FOSE 2014, (New York, NY, USA), pp. 201–211, ACM, 2014.
[7] G. Wiederhold, “Intelligent integration of information,” SIGMOD Rec., vol. 22, pp. 434–437, June 1993.
[8] H. Wache, T. Voegele, T. Visser, H. Stucken-schmidt, H. Schuster, G. Neumann, and S. Huebner, “Ontology-based integration of information - a survey of existing approaches,” in IJCAI-01 Workshop: Ontologies and Information (H. Stuckenschmidt, ed.), pp. 108–117, 2001.
[9] D.-E. Spanos, P. Stavrou, and N. Mitrou, “Bringing relational databases into the semantic web: A survey,” Semant. web, vol. 3, pp. 169–209, Apr. 2012.
[10] D. Calvanese, G. De Giacomo, D. Lembo, M. Lenzerini, A. Poggi, M. Rodriguez-Muro, R. Rosati, M. Ruzzi, and D. F. Savo, “The mastro system for ontology-based data access,” Semantic Web Journal, vol. 2, no. 1, pp. 43–53, 2011. Listed among the 5 most cited papers in the first five years of the Semantic Web Journal.
[11] M. Rodriguez-Muro and D. Calvanese, “Quest, an OWL 2 QL reasoner for ontology-based data access,” in Proceedings of OWL: Experiences and Directions Workshop 2012, Heraklion, Crete, Greece, May 27-28, 2012 (P. Klinov and M. Hor-
ridge, eds.), vol. 849 of CEUR Workshop Pro-
ceedings, CEUR-WS.org, 2012.
[12] T. Catarci, M. F. Costabile, S. Levialdi, and C. Batini, “Visual query systems for databases,” J. Vis. Lang. Comput., vol. 8, pp. 215–260, Apr. 1997.
[13] M. Giese, D. Calvanese, P. Haase, I. Horrocks, Y. Ioannidis, H. Kllapi, M. Koubarakis, M. Lenzerini, R. Müller, M. Rodriguez-Muro, z. Özcep, R. Rosati, R. Schlatte, M. Schmidt, A. Soylu, and A. Waaler, “Scalable end-user access to big data,” in Big Data Computing (R. Akerkar, ed.), CRC Press, 2013.
[14] A. Soylu, M. Giese, R. Schlatte, E. Jimenez-Ruiz, O. Ozcep, and S. Brandt, “Domain experts surfing on stream sensor data over ontologies,” in Proceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments (SEMPER@ESWC 2016), vol. 1588, (Heraklion, Greece), CEUR-WS.org, 2016.
[15] J. Dekoster and U. Schollaert, cycling: the way ahead for towns and cities. boulevard du Triomphe 174; B-1160 Bruxelles.: European Commision, 1 ed., 1999.
[16] A. Gómez-Pérez, M. Fernández-López, and O. Corcho, Ontological Engineering: With Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web. (Advanced Information and Knowledge Processing). Secaucus, NJ, USA: Springer-Verlag New York, Inc., 2007.
[17] Open Geospatial Consortium, “Geosparql - a geo-
graphic query language for rdf data - v1.0.” Avail-
able at: http://www.opengeospatial.org/standards/geosparql, 2011. Accessed on 2017-06-30.
[18] K. Stravoskoufos, E. G. M. Petrakis, N. Mainas, S. Batsakis, and V. Samoladas, “Sowl ql: Querying spatio-temporal ontologies in owl,” Journal on Data Semantics, vol. 5, no. 4, pp. 249–269, 2016.
[19] “Parliament (tm) - a high-performance triple store, sparql endpoint, and reasoner.” Available at: http://parliament.semwebcentral.org . Accessed on 2017-06-30.
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Published
2017-10-01
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How to Cite
[1]
“An Expert-driven Ontology-based Approach to the Collaborative Acquisition of Information”, JCS&T, vol. 17, no. 02, p. e17, Oct. 2017, doi: 10.24215/16666038.17.e17.
