Semantic analytics of PubMed content

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

Volumn 7058 LNCS, Issue , 2011, Pages 63-74

  Ślȩzak, Dominik ^a,b   Janusz, Andrzej ^a   Świeboda, Wojciech ^a   Nguyen, Hung Son ^a   Bazan, Jan G ^a,c   Skowron, Andrzej ^a  

^a UNIVERSITY OF WARSAW   (Poland)

^b INFOBRIGHT INC   (Poland)

^c UNIVERSITY OF RZESZÓW   (Poland)

Author keywords

Behavioral Patterns; Decision Support Systems; Document Repositories; MeSH; PubMed; RDBMS; Semantic Search and Analytics

Indexed keywords

BEHAVIORAL PATTERNS; DECISION SUPPORTS; DOCUMENT REPOSITORIES; MESH; PUBMED; RDBMS; SEMANTIC SEARCH AND ANALYTICS;

ARTIFICIAL INTELLIGENCE; COMPUTER ARCHITECTURE; COMPUTER GRAPHICS; DECISION SUPPORT SYSTEMS; SEMANTICS; USABILITY ENGINEERING;

HUMAN COMPUTER INTERACTION;

EID: 82155191386     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25364-5_7     Document Type: Conference Paper

References (28)

1. Agrawal, R., Gollapudi, S., Kannan, A., Kenthapadi, K.: Enriching Education through Data Mining. In: Kuznetsov, S.O., Mandal, D.P., Kundu, M.K., Pal, S.K. (eds.) PReMI 2011. LNCS, vol. 6744, pp. 1-2. Springer, Heidelberg (2011)
2. Badr, Y., Chbeir, R., Abraham, A., Hassanien, A.: Emergent Web Intelligence: Advanced Semantic Technologies. Springer, Heidelberg (2010)
3. Baldi, P., Hatfield, G.W.: DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press (2002)
4. Barwise, J., Seligman, J.: Information Flow: The Logic of Distributed Systems. Cambridge University Press (1997)
5. Bazan, J.G.: Hierarchical Classifiers for Complex Spatio-temporal Concepts. Transactions on Rough Sets 9, 474-750 (2008)
6. Bembenik, R., Skonieczny, Ł., Rybiński, H., Niezgódka, M. (eds.): Intelligent Tools for Building a Scientific Information Platform. Springer, Heidelberg (2011)
7. Butcher, S., Clarke, C.L.A., Cormack, G.: Information Retrieval: Implementing and Evaluating Search Engines. MIT Press (2010)
8. Chodorow, K., Dirolf, M.: MongoDB: The Definitive Guide: Powerful and Scalable Data Storage. O'Reilly Media (2010)
9. Davies, J., Grobelnik, M., Mladenic, D.: Semantic Knowledge Management: Integrating Ontology Management, Knowledge Discovery, and Human Language Technologies. Springer, Heidelberg (2009)
10. Gabrilovich, E., Markovitch, S.: Computing Semantic Relatedness usingWikipediabased Explicit Semantic Analysis. In: Proc. of the 20th Int. Joint Conf. on Artificial Intelligence (IJCAI), pp. 6-12 (2007)
11. Góra, G., Kruczek, P., Skowron, A., Bazan, J.G., Bazan-Socha, S., Pietrzyk, J.J.: Case-based Planning of Treatment of Infants with Respiratory Failure. Fundamenta Informaticae 85(1-4), 155-172 (2008)
12. Grużdź, A., Ihnatowicz, A., Ślȩzak, D.: Interactive Gene Clustering - A Case Study of Breast Cancer Microarray Data. Information Systems Frontiers 8(1), 21-27 (2006)
13. Han, J.: Construction and Analysis of Web-Based Computer Science Information Networks. In: Kuznetsov, S.O., Ślȩzak, D., Hepting, D.H., Mirkin, B.G. (eds.) RSFDGrC 2011. LNCS (LNAI), vol. 6743, pp. 1-2. Springer, Heidelberg (2011)
14. Jankowski, A., Skowron, A.: Wisdom Technology: A Rough-Granular Approach. In: Marciniak, M., Mykowiecka, A. (eds.) Bolc Festschrift, vol. 5070, pp. 3-41. Springer, Heidelberg (2009)
15. Jörg, B., Jeffery, K., van Grootel, G., Asserson, A., Dvorak, J., Rasmussen, H.: CERIF 2008 - 1.2 Full Data Model (FDM) Introduction and Specification (2008), http://www.eurocris.org/Index.php?page=CERIF2008\&t=1
16. Kacprzyk, J., Zadrożny, S.: Computing With Words Is an Implementable Paradigm: Fuzzy Queries, Linguistic Data Summaries, and Natural-Language Generation. IEEE Transactions on Fuzzy Systems 18(3), 461-472 (2010)
17. McCandless, M., Hatcher, E., Gospodnetiæ, O.: Lucene in Action, 2nd edn. Manning Publications (2010)
18. Mika, P.: Social Networks and the Semantic Web. In: Proc. of the 2004 IEEE/WIC/ACM Int. Conf. on Web Intelligence (WI), pp. 285-291 (2004)
19. Nguyen, H.S.: Approximate Boolean Reasoning: Foundations and Applications in Data Mining. Transactions on Rough Sets 5, 334-506 (2006)
20. Nguyen, H.S., Ho, T.B.: Rough Document Clustering and the Internet. In: Pedrycz, W., Skowron, A., Kreinovich, V. (eds.) Handbook of Granular Computing, pp. 987-1003. John Wiley & Sons, Inc., New York (2008)
21. Roberts, R.J.: PubMed Central: The GenBank of the Published Literature. Proc. of the National Academy of Sciences of the United States of America 98(2), 381-382 (2001), http://www.pnas.org/content/98/2/381.abstract
22. Ślȩzak, D., Wróblewski, J., Eastwood, V., Synak, P.: Brighthouse: An Analytic Data Warehouse for Ad-hoc Queries. Proc. of the VLDB Endowment (PVLDB) 1(2), 1337-1345 (2008)
23. Szczuka, M., Janusz, A., Herba, K.: Clustering of Rough Set Related Documents with use of Knowledge from DBpedia. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS (LNAI), vol. 6954, pp. 394-403. Springer, Heidelberg (2011)
24. Tenenbaum, J.M., Shrager, J.: Cancer: A Computational Disease that AI Can Cure. AI Magazine 32(2), 14-26 (2011)
25. Ulam, S.: Analogies Between Analogies: The Mathematical Reports of S. M. Ulam and His Los Alamos Collaborators. University of California Press (1990)
26. United States National Library of Medicine: Introduction to MeSH - 2011 (2011), http://www.nlm.nih.gov/mesh/introduction.html
27. Valiant, L.G.: Robust Logics. Artif. Intell. 117(2), 231-253 (2000)
28. Vapnik, V.: Learning Has Just Started (An interview with Vladimir Vapnik by Ran Gilad-Bachrach) (2008), http://seed.ucsd.edu/joomla/index.php/articles/ 12-interviews/ 9-qlearning-has-just-startedq-an-interview-with-prof-vladimir- vapnik