A bare bones approach to literature-based discovery: An analysis of the Raynaud's/fish-oil and migraine-magnesium discoveries in semantic space

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

Volumn 3735 LNAI, Issue , 2005, Pages 84-98

  Cole, R J ^a   Bruza, P D ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL LITERATURE; COMPUTING ASSOCIATIONS; INFORMATION FLOW; LITERATURE DISCOVERY;

COMPUTATION THEORY; DISEASES; INFORMATION RETRIEVAL; KNOWLEDGE REPRESENTATION; MEDICAL APPLICATIONS; ONLINE SYSTEMS; SEMANTICS;

KNOWLEDGE ACQUISITION;

EID: 33745292365     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11563983_9     Document Type: Conference Paper

References (27)

1. P. Bruza, D. Song, and R. McArthur. Abduction in semantic space: Towards a logic of discovery. Logic Journal of the Interest Group in Pure and Applied Logics, 12:97-109, 2004.
2. P.D. Bruza and D. Song. Inferring Query Models by Computing Information Flow. In Proceedings of the 11th International Conference on Information and Knowledge Management (CIKM 2002), pages 260-269. ACM Press, 2002.
3. C. Burgess, K. Livesay, and K. Lund. Explorations in context space: words, sentences, discourse. Discourse Processes, 25(2&3):211-257, 1998.
4. Ted Dunning. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1):61-74, 1994.
5. D. Gabbay and J. Woods, The Reach of Abduction: Insight and Trial, volume 2 of A Practical Logic of Cognitive Systems. Elsevier, 2004, An early draft appeared as Lecture Notes from ESSLLI 2000 (European Summer School on Logic, Language and Information), Online: http://www.cs.bham.ac.uk/esslli/notes/gabbay.html.
6. M. D. Gordon. Literature-based discovery by lexical statistics, Journal of the American Society for Information Science, 50:574-587, 1999.
7. M. D. Gordon and S. Dumais. Using latent semantic indexing for literature based discovery. Journal of the American Society for Information Science, 48:674-685, 1998.
8. M. D. Gordon and R. L. Lindsay, Towards discovery support systems: A replication, re-examination, and extension of swanson's work on literature-based discovery of a connection between raynaud's and fish oil. Journal of the American Society for Information Science, 47:116-128, 1996.
9. W Kintsch. Predication. Cognitive Science, 25:173-202, 2001.
10. T. K. Landauer and S. T Dumais. A solution to plato's problem: The latent semantic analysis theory of acquisition, induction and representation of knowledge. Psychological Review, 104:211-240, 1997.
11. T. K. Landauer, P. W. Foltz, and D. Laham. An introduction to latent semantic analysis. Discourse Processes, 25:259-284, 1998.
12. J. P. Levy and J. A. Bulliniaria. Learning lexical properties from word usage patterns: Which context words should be used? Connectionist models of learning, development and evolution, pages 213-282, 1999.
13. W. Lowe. What is the dimensionality of human semantic space? In Proceedings of the 6th Neural Computation and Psychology workshop, pages 303-311. Springer Verlag, 2000.
14. W. Lowe. Towards a theory of semantic space. In J. D. Moore and K. Stenning, editors, Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, pages 576-581. Lawrence Erlbaum Associates, 2001.
15. K. Lund and C. Burgess. Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments & Computers, 28(2):203-208, 1996.
16. M. Patel, J. A. Bulliniaria, and J. P. Levy. Extracting semantic representations from large text corpora. Proceedings of the Fourth Neural Computation and Psychology Workshop, pages 199-212, 1997.
17. C.S Peirce. The Nature of Meaning. In Peirce Edition Project, editor, Essential Peirce: Selected Philosophical Writings Vol 2 (1893-1913), pages 208-225, Indiana Univ. Press, 1998.
18. M. Sahlgren. Towards a flexible model of word meaning. In Proceedings of AAAI Spring Symposium 2002, Palo Alto, California, USA, 2002. Stanford University.
19. P. Srinivasan. Text mining: Generating hypotheses from medline. Journal of the American Society for Information Science and Technology, 55(5):396-413, March 2004.
20. D. R. Swanson, Fish oil, raynaud's syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine, 30:7-18, 1986.
21. D. R. Swanson. Undiscovered public knowledge. Library Quarterly, 56:103-118, 1986.
22. D. R. Swanson, Two medical literatures that are logically but not bibliographically connected. Journal of the American Society for Information Science, 38:228-233, 1987.
23. D. R. Swanson and N. R. Smalheiser. Implicit text linkages between medline records: Using arrowsmith as an aid to scientific discovery. Library Trends, 48:48-59, 1999.
24. D.R. Swanson and N.R. Smalheiser. An interactive system for finding complementary literatures: A stimulus to scientific discovery. Artificial Intelligence, 91 (2):183-203, 1997.
25. M. Weeber, R. Vos, H. Klein, and de Jong-van den Berg. Using concepts in literature-based discovery: simulating swanson's raynaud- fish-oil and migraine-magnesium discoveries. JASIST, 52(7):548-557, 2001.
26. Marc Weeber, Henny Klein, and Lolkje T. W. Jong-can den Berg. Using concepts in literature-based discovery: Simulating swanson's raynaud-fish oil and migrain-magnesium discoveries. Journal of the American Society for Information Science and Technology, 52(7):548-557, 2001.
27. D. Widdows. Geometry and Meaning. CSLI Publications, 2004.