Cited By
View all- Albertoni RPérez AGuerrini G(2013)Assessing linkset quality for complementing third-party datasetsProceedings of the Joint EDBT/ICDT 2013 Workshops10.1145/2457317.2457327(52-59)Online publication date: 18-Mar-2013
Semantic similarity and selection of resources published according to linked data best practice
Pages 378 - 383
Abstract
The position paper aims at discussing the potential of exploiting linked data best practice to provide metadata documenting domain specific resources created through verbose acquisition-processing pipelines. It argues that resource selection, namely the process engaged to choose a set of resources suitable for a given analysis/design purpose, must be supported by a deep comparison of their metadata. The semantic similarity proposed in our previous works is discussed for this purpose and the main issues to make it scale up to the web of data are introduced. Discussed issues contribute beyond the reengineering of our similarity since they largely apply to every tool which is going to exploit information made available as linked data. A research plan and an exploratory phase facing the presented issues are described remarking the lessons we have learnt so far.
References
[1]
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The Story So Far. Int. J. Semantic Web Inf. Syst. 5(3), 1-22 (2009).
[2]
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Heidelberg (2007).
[3]
Rodríguez, M.A., Egenhofer, M.J.: Comparing geospatial entity classes: an asymmetric and context-dependent similarity measure. IJGIS 18(3), 229-256 (2004).
[4]
Janowicz, K., Keßler, C., Schwarz, M., Wilkes, M., Panov, I., Espeter, M., Bäumer, B.: Algorithm, Implementation and Application of the SIM-DL Similarity Server. In: Fonseca, F., Rodríguez, M.A., Levashkin, S. (eds.) GeoS 2007. LNCS, vol. 4853, pp. 128-145. Springer, Heidelberg (2007).
[5]
Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and Application of a Metric on Semantic Nets. IEEE Trans. on Systems Man and Cybernetics 19(1), 17-30 (1989).
[6]
Resnik, P.: Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In: Proceedings of the 14th Int. Joint Conf. on Artificial Intelligence, IJCAI (1995).
[7]
Lin, D.: An Information-Theoretic Definition of Similarity. In: Proc. of the Fifteenth In-Conference on Machine Learning, pp. 296-304. Morgan Kaufmann, San Francisco (1998).
[8]
Pirrò, G.: A semantic similarity metric combining features and intrinsic information content. Data Knowl. Eng. 68(11), 1289-1308 (2009).
[9]
Schwering, A.: Hybrid Model for Semantic Similarity Measurement. In: Meersman, R., Tari, Z. (eds.) OTM 2005. LNCS, vol. 3761, pp. 1449-1465. Springer, Heidelberg (2005).
[10]
D'Amato, C., Fanizzi, N., Esposito, F.: A dissimilarity measure for ALC concept descriptions. In: SAC 2006, pp. 1695-1699 (2006).
[11]
Hau, J., Lee, W., Darlington, J.: A Semantic Similarity Measure for Semantic Web Services. In: Web Service Semantics: Towards Dynamic Business Integration workshop at WWW 2005 (2005).
[12]
Maedche, A., Zacharias, V.: Clustering Ontology Based Metadata in the Semantic Web. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), vol. 2431, pp. 348-360. Springer, Heidelberg (2002).
[13]
Grimnes, G.A., Edwards, P., Preece, A.D.: Instance Based Clustering of Semantic Web Resources. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 303-317. Springer, Heidelberg (2008).
[14]
Albertoni, R., De Martino, M.: Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances. In: Spaccapietra, S. (ed.) Journal on Data Semantics X. LNCS, vol. 4900, pp. 1-30. Springer, Heidelberg (2008).
[15]
Oren, E., Delbru, R., Catasta, M., Cyganiak, R., Stenzhorn, H., Tummarello, G.: Sindice. com: A document-oriented lookup index for open linked data. International Journal of Metadata Semantics and Ontologies Inderscience 3(1), 37-52 (2008).
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- Collibra: Collibra
- OMG: Object Management Group
- CUOT: Curtin University of Technology
- Universidad Politecnica: Universidad Politecnica de Madrid, Spain
- Vrije Universiteit Brussel: Vrije Universiteit Brussel
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Springer-Verlag
Berlin, Heidelberg
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Published: 25 October 2010
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View all- Albertoni RPérez AGuerrini G(2013)Assessing linkset quality for complementing third-party datasetsProceedings of the Joint EDBT/ICDT 2013 Workshops10.1145/2457317.2457327(52-59)Online publication date: 18-Mar-2013