Abstract
Neuroscience becomes a strategic growing field for both academic institutions and industrial companies because of their profound impact on human health, clinical therapy, and basic research such as brain informatics and cognitive science. To track activities of the rapidly developing field and observe new trends, neuroscientists must keep up-to-date with all the relevant information on the internet. In this paper, we present an ontology-based mining system, which is able to probe Competitive Intelligence in Neuroscience by using a well-defined ontology. It is able to support decision making by searching neuroscientific discoveries semantically and tracking new trends statistically. The experiments performed on 15,433,668 MEDLINE articles yield evidence for the feasibility and validity of our system.
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Martone, M.E., Gupta, A., Ellisman, M.H.: e-Neuroscience: Challenges and Triumphs in Integrating Distributed Data from Molecules to Brains. Nature Neuroscience 7(5), 467–472 (2004)
Jensen, L.J., Saric, J., Bork, P.: Literature Mining for the Biologist: From Information Retrieval to Biological Discovery. Nature Reviews Genetics 7, 119–129 (2006)
Rouach, D., Santi, P.: Competitive Intelligence Adds Value: Five Intelligence Attitudes. European Management Journal 19(5), 552–559 (2001)
Gilad, B., Gilad, T.: Business Intelligence System: A New Tool for Competitive Advantage: AMACOM/American Management Association (1988)
Kahaner, L.: Competitive Intelligence: How to Gather, Analyze, and Use Information to Move Your Business to the Top: Touchstone (1998)
Drucker, P.: The Coming of the New Organization. Harvard Business Review on Knowledge Management (1998)
Gates, B.: Business at the Speed of Thought. Penguin Books, London (2002)
Carlucci, S., Page, A., Finegold, D.: The Role of Competitive Intelligence in Biotech Startups. Nature Biotechnology, 525–527 (2005)
Group, Futures, Ostriches & Eagles 1997. The Futures Group Articles (1998)
Bodenreider, O., Stevens, R.: Bio-ontologies: Current Trends and Future Directions. Briefings in Bioinformatics 7, 256–274 (2006)
SCIP: Society of Competitive Intelligence Professionals (access 2006), http://www.scip.org/
McGonagle, J.J., Vella, C.M.: Outsmarting the Competition: Practical Approaches to Finding and Using Competitive Information, Sourcebooks Inc. (1990)
Prescott, J.E., Fleisher, C.S.: SCIP: Who We Are, What We Do. Competitive Intelligence Review 2(11), 22–26 (1991)
Vriens, D.: The Role of Information and Communication Technology in Competitive Intelligence. In: Vriens, D. (ed.) Information and Communication Technology for Competitive Intelligence, pp. 1–33. Idea Group Pub. Hershey, PA (2004)
Convera (access 2006), http://www.excalib.com/
Autonomy (access 2006), http://autonomy.com/content/home/
Chen, H., Chau, M., Zeng, D.: CI Spider: A Tool for Competitive Intelligence on the Web. Decision Support Systems 34(1), 1–17 (2002)
Flake, G.W., et al.: Self-Organization and Identification of Web Communities. IEEE Computer 35(3), 66–71 (2002)
Fuld & Company (access 2006), http://www.fuld.com/
Borgman, C.L., Furner, J.: Scholarly Communication and Bibliometrics. In: Borgman, C.L. (ed.) Annual Review of Information Science and Technology, Information Today, Inc. (2002)
Reid, E.: Chapter III: Using Web Link Analysis to Detect and Analyze Hidden Web Communities. In: Vriens, D. (ed.) Information and Communication Technology for Competitive, pp. 57–84. Idea Group Pub, Hershey, PA (2004)
Gruber, T.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal Human-Computer Studies 43, 907–928 (1993)
Stevens, R., Goble, C.A., Bechhofer, S.: Ontology-based Knowledge Representation for Bioinformatics Briefings in Bioinformatics 1(4) 398–414 (2000)
Ashburner, M., et al.: Gene Ontology: Tool for the Unification of Biology. Nature Genetics 25(1), 25–29 (2000)
Gene Ontology (access 2006), http://www.geneontology.org/
Open Biomedical Ontologies (access 2006), http://obo.sourceforge.net/
MeSH: Medical Subject Headings (access 2006), http://www.nlm.nih.gov/mesh/
UMLS: Unified Medical Language System (access 2006), http://umlsinfo.nlm.nih.gov/
Miller, P.L., et al.: Integration of Multidisciplinary Sensory Data: A Pilot Model of the Human Brain Project Approach. Journal of the American Medical Informatics Association 8, 34–48 (2001)
Yale SenseLab (access 2006), http://senselab.med.yale.edu/senselab/
Neuroscience Semantic Web (access 2006), http://neuroweb.med.yale.edu/neurosw/
HCLSIG: W3C Health Care and Life Sciences Interest Group (access 2006), http://www.w3.org/2001/sw/hcls/charter
Su, Z., et al.: Market Intelligence Portal: An Entity-based System for Managing Market Intelligence. IBM Systems Journal 43(3), 534–554 (2004)
Naoko, S., et al.: Elevated Plasma Noradrenaline Concentration in Untreated Patients with Early-stage Parkinson Disease. Autonomic Neuroscience 130(1-2), 65–65 (2006)
Cristianini, N., Taylor, J.S.: An Introduction to Support Vector Machines: and Other Kernel-based Learning. Cambridge University Press, New York (2000)
Zhang, X., Zhu, X.: Extended Bi-gram Features in Text Categorization. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds.) IbPRIA 2005. LNCS, vol. 3523, Springer, Heidelberg (2005)
Zhang, Y., Vasconcelos, W., Sleeman, D.: OntoSearch: An Ontology Search Engine. In: Webb, G.I., Yu, X. (eds.) AI 2004. LNCS (LNAI), vol. 3339, Springer, Heidelberg (2004)
Metzler, D., Croft, W.B.: Combining the Language Model and Inference Network Approaches to Retrieval. Information Processing and Management. Special Issue on Bayesian Networks and Information Retrieval 40(5), 735–750 (2004)
Vidal, R., et al.: Senile Dementia Associated with Amyloid Beta Protein Angiopathy and tau Perivascular Pathology but not Neuritic Plaques in Patients Homozygous for the APOEepsilon4 Allele. Acta Neuropathologica 100(1), 1–12 (2000)
Fact Sheet of Medline (access 2006), http://www.nlm.nih.gov/pubs/factsheets/medline.html
Ebersole, J.S.: Current Practice of Clinical Electroencephalography: Lippincott Williams & Wilkins (2002)
Jacques, B., Vlaardingerbroek, M.: Magnetic Resonance Imaging Theory and Practice. Springer, Heidelberg (1996)
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Li, J., Huang, M., Zhu, X. (2007). An Ontology-Based Mining System for Competitive Intelligence in Neuroscience. In: Zhong, N., Liu, J., Yao, Y., Wu, J., Lu, S., Li, K. (eds) Web Intelligence Meets Brain Informatics. WImBI 2006. Lecture Notes in Computer Science(), vol 4845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77028-2_17
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DOI: https://doi.org/10.1007/978-3-540-77028-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77027-5
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