Abstract
Just a few years after its birth, Knowledge Management drew the attention of the academic world, becoming a matter of intense study as the scientific community has always felt the need to create the cooperation among its members allowing the information exchange. Many disciplines develop several standardized formalization that domain experts can use to share information as reusable knowledge. The purpose of this chapter is the study of a process to formalize knowledge by using an iterative approach mixing a top-down and bottom up analysis of a specific domain and the bottom-up analysis for the information in the object of the specific domain. Our case study analyzes the domain of descriptions and reviews of Italian wines. We start by analyzing the information collected from the Web in order to define a taxonomy able to represent the knowledge related to the above mentioned domain.
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- 1.
World Wide Web Consortium (W3C), http://www.w3.org.
- 2.
Defense Advanced Research Projects Agency (DARPA), http://www.darpa.mil.
- 3.
Google, https://www.google.com.
- 4.
Yahoo, https://www.yahoo.com.
- 5.
Bing, https://www.bing.com.
- 6.
YouTube, https://www.youtube.com.
- 7.
Facebook, https://www.facebook.com.
- 8.
Twitter, https://twitter.com.
- 9.
Flickr, https://www.flickr.com.
- 10.
Wine ontology, http://www.w3.org/TR/owl-guide/wine.rdf10.
References
Gashaw, K.: Knowledge management: an information science perspective. Int. J. Inf. Manag. 30(5), 416–424 (2010)
Jakubik, M.: Exploring the knowledge landscape: four emerging views of knowledge. J. Knowl. Manag. 11(4), 6–19 (2007)
Dalkir, K.: Knowledge Management in Theory and Practice. Elsevier Butterworth-Heine-mann (2005)
Rowley, J.: The wisdom hierarchy: representations of the DIKW hierarchy. J. Inf. Sci. 33(2), 163–180 (2007)
Wild, R., Griggs, K.: A model of information technology opportunities for facilitating the practice of knowledge management. In: VINE (Journal of information and knowledge management systems), vol. 38(4), pp. 490–506 (2008)
Ajiferuke, I.: Role of information professionals in knowledge management programs: empirical evidence from Canada. Informing Sci. J. 6, 147–157 (2003)
Blair, D.C.: Knowledge management: hype, hope, or help. J. Am. Soc. Inf. Sci. Technol. 53(12), 1019–1028 (2002)
Chua, A.Y.K.: The dark side of knowledge management initiatives. J. Knowl. Manag. 13(4), 32–40 (2009)
Nonaka, I., Takeuchi, H.: The Knowledge-creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York (1995)
Gruber, T.: A translation approach to portable ontology specification. Knowl. Acquis. 5, 199–220 (1993)
Brickley, D., Guha, R.V.: Resource Description Framework (RDF) Schema Specification. Proposed Recommendation, World Wide Web Consortium (1999). http://www.w3.org/TR/PR-rdf-schema
Lassila, O., Swick, R.: Resource Description Framework (RDF): Model and Syntax Specification. Recommendation W3C (1999). http://www.w3.org/TR/REC-rdf-syntax
Hendler, J., McGuinness, D.L.: The DARPA agent markup language. IEEE Intell. Syst. 16(6), 67–73 (2000)
Euzenat, J., Shvaiko, P.: Ontology Matching. Springer, Berlin (2007)
Fensel, D., Van Harmelen, F., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F.: OIL: an ontology infrastructure for the Semantic Web. In: Intelligent Systems, vol. 16, Issue 2, pp. 38-45. IEEE, Mar–Apr 2001
Gmez-Prez, A., Corcho, O.: Ontology languages for the Semantic Web. In: Intelligent Systems, vol. 17, Issue 1, pp. 54–60, 19 Jan–Feb 2002
Schreiber, ATh, Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-Based photo annotation. IEEE Intell. Syst. 16, 66–74 (2001)
Jaimes, A., Smith, J.: Semi-automatic, data-driven construction of multimedia ontolo- gies. In: Proceedings of IEEE International Conference on Multimedia and Expo (ICME), vol. 2 (2003)
Jewell, M.O., Lawrence, K.F., Tuffield, M.M., Prugel-Bennett, A., Millard, D.E., Nixon, M.S., Schraefel, M.C., Shadbolt, N.R.: OntoMedia: an ontology for the representation of heterogeneous media. In: Multimedia Information Retrieval Workshop, ACM SIGIR (2005)
Lunesu, M.I., Pani, F.E., Concas, G.: An Approach to manage semantic informations from UGC. In: Proceedings of the 3rd International Conference on Knowledge Engineering and Ontology Development (KEOD 2011), Paris, France (2011). ISBN: 978-989-8425-80-5
Concas, G., Pani, F.E., Lunesu, M.I., Mannaro, K.: Using an ontology for multimedia content semantics. In: Lai, C., Giuliani, A., Semeraro, G. (eds.) New Challenges in Distributed Information Filtering and Retrieval, Studies in Computational Intelligence, vol. 515. Springer, Berlin (2014)
Musen, M.A.: Dimensions of knowledge sharing and reuse. Comput. Biomed. Res. 25, 435–467 (1992)
Pani, F.E., Concas, G., Lunesu, M.I., Baralla, G.: An approach to manage the web knowledge. In: Proceedings of International Conference on Knowledge Engineering and Ontology Development (KEOD), Algarve, Portugal (2013)
Berners-Lee, T., Hendler, J., Lassila, O.: In: The Semantic Web, Scientific American, pp. 28–37 (2001). http://www.scientificamerican.com/2001/0501issue/0501berners-lee.html
Paliouras, G., Spyropoulos, C. D., Tsatsaronis, G. (eds.): Knowledge-Driven Multimedia Information Extraction and Ontology Evolution, Bridging the Semantic Gap, Lecture Notes in Computer Science, vol. 6050, 1st Edn., IX, p. 245 (2011). ISBN 978-3-642-20794-5
Decker, S., Melnik, S., Van Harmelen, F., Fensel, D., Klein, M., Broekstra, J., Erdmann, M., Horrocks, I.: The semantic web: the roles of XML and RDF. Internet Comput. IEEE 4(5), 63–73 (2000)
Maedche, A., Staab, S.: Ontology learning for the Semantic Web. In: Intelligent Systems, vol. 16, Issue 2, pp. 72–79. IEEE, Mar–Apr 2001
Davies, J., Fensel, D., van Harmelen, F.: Towards the Semantic Web: Ontology-driven Knowledge Management. Wiley (2003). ISBN: 9780470848678
Simperi, E.: Reusing ontologies on the semantic web: a feasibility study. Data Knowl. Eng. 68(10), 905–925 (2009)
Noy, N.F., McGuinness, D.L.: Ontology development 101: A guide to creating your first ontology (2001)
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Pani, F.E., Lunesu, M.I., Concas, G., Baralla, G. (2018). An Approach to Knowledge Formalization. In: Lai, C., Giuliani, A., Semeraro, G. (eds) Emerging Ideas on Information Filtering and Retrieval. Studies in Computational Intelligence, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-68392-8_6
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