Review published In: Terminology
Vol. 24:2 (2018) ► pp.289–294
Book review
Ławrynowicz, A. 2017. Semantic Data Mining, An Ontology-Based Approach,
Published online: 26 November 2018
https://doi.org/10.1075/term.00022.liu
https://doi.org/10.1075/term.00022.liu
Article outline
- 1.Introduction
- 2.Structure of the content
- 3.Final critical assessment
References
References (10)
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Han, J., Kamber, M., and Pei, J. 2011. Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufmann Publishers Inc.
Jankowski, N., Duch, W., and Grabczewski, K. (eds.). 2011. “Meta-Learning in Computational Intelligence”. Studies in Computational Intelligence 3581: 1–76.
Kralj, N. P., Vavpeti, A., Trajkovski, I., and Lavra, N. 2010. “Towards Semantic Data Mining with g-SEGS.” In Proceedings of the 13th International Multiconference Information Society (IS 2010), 173–176. Ljubljana, Slovenia.
Lehmann, K., and Turhan, A -Y. 2012. “A Framework for Semantic-Based Similarity Measures for ELH-Concepts.” In Proceedings of the 13th European Conference on Logics in Artificial Intelligence, 307–319. Toulouse, France.
Marchionini, G. 2006. “Exploratory Search: from Finding to Understanding.” Communications of the ACM 49 (4): 41–46.
Suchanek, F. M., and Weikum, G. 2014. “Knowledge Bases in the Age of Big Data Analytics.” PVLDB 7 (13): 1713–1714.
Van Harmelen, F., and McGuinness, D. L. 2004. OWL Web Ontology Language Overview. Retrieved Feb. 15, 2018, from [URL].
