Dedalo: Looking for clusters explanations in a labyrinth of linked data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8465 LNCS, Issue , 2014, Pages 333-348

  Tiddi, Ilaria ^a   D'Aquin, Mathieu ^a   Motta, Enrico ^a  

^a OPEN UNIVERSITY   (United Kingdom)

Author keywords

Hypothesis Generation; Knowledge Discovery; Linked Data

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS; DATA MINING;

BACK-GROUND KNOWLEDGE; DIFFERENT DOMAINS; EXPERT KNOWLEDGE; HUMAN EXPERT; HYPOTHESIS GENERATION; KNOWLEDGE DISCOVERY PROCESS; LINKED DATUM; WEB OF DATUM;

DATA HANDLING;

EID: 84902578897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-07443-6_23     Document Type: Conference Paper

References (24)

1. Brisson, L., Collard, M., Pasquier, N.: Improving the knowledge discovery process using ontologies. In: Proceedings of the IEEE MCD International Workshop on Mining Complex Data, pp. 25-32 (November 2005)
2. Brisson, L., Collard, M.: How to Semantically Enhance a Data Mining Process? In: Filipe, J., Cordeiro, J. (eds.) Enterprise Information Systems. LNBIP, vol. 19, pp. 103-116. Springer, Heidelberg (2009)
3. d'Aquin,M., Jay, N.: Interpreting Data Mining Results with Linked Data for Learning Analytics: Motivation, Case Study and Direction. In: LAK 2013 (2013)
4. Dehmer, M., Mowshowitz, A.: Generalized graph entropies. Complexity 17(2), 45-50 (2011)
5. Geng, L., Hamilton, H.J.: Interestingness measures for data mining: A survey. ACM Computing Surveys (CSUR) 38(3), 9 (2006)
6. Grosof, B.N., Horrocks, I., Volz, R., Decker, S.: Description logic programs: Combining logic programs with description logic. In: Proceedings of the 12th International Conference on World Wide Web, pp. 48-57. ACM (May 2003)
7. King, R.D., Rowland, J., Oliver, S.G., Young, M., Aubrey, W., Byrne, E., Clare, A.: The automation of science. Science 324(5923), 85-89 (2009)
8. Lavrač, N., Vavpetič, A., Soldatova, L., Trajkovski, I., Novak, P.K.: Using ontologies in semantic data mining with SEGS and g-SEGS. In: Elomaa, T., Hollmén, J., Mannila, H. (eds.) DS 2011. LNCS, vol. 6926, pp. 165-178. Springer, Heidelberg (2011)
9. Lisi, F.A.: Inductive Logic Programming in Databases: From Datalog to DL+log. Theory and Practice of Logic Programming 10(3), 331-359 (2010)
10. Lisi, F.A., Esposito, F.: On ontologies as prior conceptual knowledge in inductive logic programming. In: Berendt, B., Mladenič, D., de Gemmis, M., Semeraro, G., Spiliopoulou, M., Stumme, G., Svátek, V., Železný, F. (eds.) Knowledge Discovery Enhanced with Semantic and Social Information. SCI, vol. 220, pp. 3-17. Springer, Heidelberg (2009)
11. Marinica, C., Guillet, F.: Knowledge-based interactive postmining of association rules using ontologies. IEEE Transactions on Knowledge and Data Engineering 22(6), 784-797 (2010)
12. Moss, L., Sleeman, D., Sim, M., Booth, M., Daniel, M., Donaldson, L., Kinsella, J.: Ontology-driven hypothesis generation to explain anomalous patient responses to treatment. Knowledge-Based Systems 23(4), 309-315 (2010)
13. Motik, B., Rosati, R.: Closing semantic web ontologies. Technical report, University of Manchester, UK (2006)
14. Mowshowitz, A., Dehmer, M.: Entropy and the complexity of graphs revisited. Entropy 14(3), 559-570 (2012)
15. Muggleton, S., De Raedt, L.: Inductive logic programming: Theory and methods. The Journal of Logic Programming 19, 629-679 (1994)
16. Mulwad, V., Finin, T., Syed, Z., Joshi, A.: Using Linked Data to Interpret Tables. In: COLD 2010 (2010)
17. Paulheim, H.: Generating Possible Interpretations for Statistics from Linked Open Data. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 560-574. Springer, Heidelberg (2012)
18. Paulheim, H.: Exploiting Linked Open Data as Background Knowledge in Data Mining. In: CEUR Workshop Proceedings DMoLD 2013 Collocated with ECMLP-KDD 2013, pp. 1-10. RWTH, Aachen (2013)
19. Racunas, S.A., Shah, N.H., Albert, I., Fedoroff, N.V.: HyBrow: a prototype system for computer-aided hypothesis evaluation. Bioinformatics 20(suppl. 1), i257-i264 (2004)
20. Roos, M., Marshall, M.S., Gibson, A., Schuemie, M., Meij, E., Katrenko, S., Adriaans, P.: Structuring and extracting knowledge for the support of hypothesis generation in molecular biology. BMC Bioinformatics 10(suppl. 10), S9 (2009)
21. Shannon, C.: A Mathematical Theory of Communication. Bell System Technical Journal 27(3), 379-423 (1948)
22. Tiddi, I., d'Aquin, M., Motta, E.: Explaining Clusters with Inductive Logic Programming and Linked Data. In: 12th International Semantic Web Conference (2013)
23. Tiddi, I.: Explaining data patterns using background knowledge from Linked Data. In: ISWC 2013 Doctoral Consortium, Sydney, Australia (2013)
24. Zapilko, B., Harth, A., Mathiak, B.: Enriching and analysing statistics with Linked Open Data. In: Eurostat (ed.) NTTS - Conference on New Techniques and Technologies for Statistics. S8 Paper 1, Brüssel (2011)