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Analyzing Website Content for Improved R&T Collaboration Planning

  • Conference paper
Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 206))

Abstract

A well-known problem in research and technology (R&T) planning is the selection of suited R&T collaboration partners. We investigate the use of textual information from the website content of possible collaboration candidates to identify their suitability. This improves the selection of collaboration partners and it enables a successful processing of R&T-projects. In a case study ‘defense R&T’, organizations and companies that have proven their suitability as collaboration partner in former R&T projects are selected (positive examples) as well as organizations and companies that have not. Latent semantic indexing with singular value decomposition and logistic regression modeling is used to identify semantic textual patterns from their websites’ content. As a result of prediction modeling, some of these textual patterns are successful in predicting new organizations or companies as (un-) suited R&T collaboration partners. These results support the acquisition of new collaboration partners and thus, they are valuable for the planning of R&T.

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References

  1. Thorleuchter, D., Van den Poel, D.: Technology classification with latent semantic indexing. Expert. Syst. Appl. 40(5), 1786–1795 (2013)

    Article  Google Scholar 

  2. Bammer, G.: Enhancing research collaborations: Three key management challenges. Res. Pol. 37(5), 875–887 (2008)

    Article  Google Scholar 

  3. Heinze, T., Kuhlmann, S.: Across institutional boundaries?: Research collaboration in German public sector nanoscience. Res. Policy 37(5), 888–899 (2008)

    Article  Google Scholar 

  4. Thorleuchter, D., Van den Poel, D.: Semantic Technology Classification. In: International Conference on Uncertainty Reasoning and Knowledge Engineering, pp. 36–39. IEEE Press, New York (2011)

    Chapter  Google Scholar 

  5. Van Rijnsoever, F.J., Hessels, L.K.: Factors associated with disciplinary and interdisciplinary research collaboration. Res. Policy 40(3), 463–472 (2011)

    Article  Google Scholar 

  6. He, Z.L., Geng, X.S., Campbell-Hunt, C.: Research collaboration and research output: A longitudinal study of 65 biomedical scientists in a New Zealand university. Res. Policy 38(2), 306–317 (2009)

    Article  Google Scholar 

  7. Ballantine, J., Levy, M., Powell, P.: Evaluating information systems in small and medium-sized enterprises: issues and evidence. Eur. J. Inform. Syst. 7, 241–251 (1998)

    Article  Google Scholar 

  8. Serafeimidis, V., Smithson, S.: Information systems evaluation as an organizational institution - experience from a case study. Inform. Syst. J. 13, 251–274 (2003)

    Article  Google Scholar 

  9. Thorleuchter, D., Van den Poel, D., Prinzie, A.: Analyzing existing customers’ websites to improve the customer acquisition process as well as the profitability prediction in B-to-B marketing. Expert. Syst. Appl. 39(3), 2597–2605 (2012)

    Article  Google Scholar 

  10. Thorleuchter, D., Van den Poel, D.: Using Webcrawling of Publicly-Available Websites to Assess E-Commerce Relationships. In: Service Research and Innovation Institute 2011 (SRII 2011), pp. 402–410. IEEE Press, New York (2012)

    Google Scholar 

  11. Lihui, C., Lian, C.W.: Using Web structure and summarisation techniques for Web content mining. Inform. Process. Manag. 41(5), 1225–1242 (2005)

    Article  Google Scholar 

  12. Thorleuchter, D., Van den Poel, D.: Predicting e-commerce company success by mining the text of its publicly-accessible website. Expert. Syst. Appl. 39(17), 13026–13034 (2012)

    Article  Google Scholar 

  13. Thorleuchter, D., Weck, G., Van den Poel, D.: Granular Deleting in Multi Level Security Models – An Electronic Engineering Approach. In: Jin, D., Lin, S. (eds.) Advances in Mechanical and Electronic Engineering. LNEE, vol. 177, pp. 609–614. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  14. Thorleuchter, D., Weck, G., Van den Poel, D.: Usability Based Modeling for Advanced IT-Security – An Electronic Engineering Approach. In: Jin, D., Lin, S. (eds.) Advances in Mechanical and Electronic Engineering. LNEE, vol. 177, pp. 615–619. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  15. Thorleuchter, D., Van den Poel, D.: High Granular Multi-Level-Security Model for Improved Usability. In: 2nd International Conference on System Science, Engineering Design and Manufacturing Informatization, pp. 191–194. IEEE Press, New York (2011)

    Chapter  Google Scholar 

  16. Gericke, W., Thorleuchter, D., Weck, G., Reilaender, F., Loss, D.: Vertrauliche Verarbeitung staatlich eingestufter Information - die Informationstechnologie im Geheimschutz. Informatik Spektrum 32(2), 102–109 (2009)

    Article  Google Scholar 

  17. Thorleuchter, D., Van den Poel, D.: Rapid Scenario Generation with Generic Systems. In: Management Sciences and Information Technology. Lecture Notes in Information Technology, IERI, Delaware (2012) (in press)

    Google Scholar 

  18. Zheng, H.T., Kang, B.Y., Kim, H.G.: Exploiting noun phrases and semantic relationships for text document clustering. Inform. Sciences 179(13), 2249–2262 (2009)

    Article  Google Scholar 

  19. Thorleuchter, D., Schulze, J., Van den Poel, D.: Improved Emergency Management by a Loosely Coupled Logistic System. In: Aschenbruck, N., Martini, P., Meier, M., Tölle, J. (eds.) Future Security 2012. CCIS, vol. 318, pp. 5–8. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  20. Thorleuchter, D., Van den Poel, D.: Companies Website Optimising concerning Consumer’s searching for new Products. In: International Conference on Uncertainty Reasoning and Knowledge Engineering, pp. 40–43. IEEE Press, New York (2011)

    Chapter  Google Scholar 

  21. Sparck Jones, K.: Collection properties influencing automatic term classification performance. Inform. Storage Retrieval 9(9), 499–513 (1973)

    Article  Google Scholar 

  22. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Inform. Process. Manag. 24(5), 513–523 (1988)

    Article  Google Scholar 

  23. Zhang, W., Yoshida, T., Tang, X.: A comparative study of TF*IDF, LSI and multi-words for text classification. Expert. Syst. Appl. 38(3), 2758–2765 (2011)

    Article  Google Scholar 

  24. Thorleuchter, D., Van den Poel, D.: Extraction of Ideas from Microsystems Technology. In: Jin, D., Lin, S. (eds.) Advances in CSIE, Vol. 1. AISC, vol. 168, pp. 563–568. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  25. Thorleuchter, D., Herberz, S., Van den Poel, D.: Mining Social Behavior Ideas of Przewalski Horses. In: Wu, Y. (ed.) Advances in Computer, Communication, Control and Automation. LNEE, vol. 121, pp. 649–656. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  26. D’Haen, J., Van den Poel, D., Thorleuchter, D.: Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique. Expert. Syst. Appl. (in press, 2013), doi:10.1016/j.eswa.2012.10.023

    Google Scholar 

  27. Chen, M.Y., Chu, H.C., Chen, Y.M.: Developing a semantic-enable information retrieval mechanism. Expert. Syst. Appl. 37(1), 322–340 (2010)

    Article  Google Scholar 

  28. DeLong, E.R., DeLong, D.M., Clarke-Pearson, D.L.: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Bio-metrics 44(3), 837–845 (1988)

    MATH  Google Scholar 

  29. Hanley, J.A., McNeil, B.J.: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 131(1), 29–36 (1982)

    Google Scholar 

  30. Thorleuchter, D., Van den Poel, D.: Using NMF for Analyzing War Logs. In: Aschenbruck, N., Martini, P., Meier, M., Tölle, J. (eds.) Future Security 2012. CCIS, vol. 318, pp. 73–76. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  31. Thorleuchter, D., Van den Poel, D.: Protecting Research and Technology from Espionage. Expert. Syst. Appl. (in press, 2013), doi:10.1016/j.eswa.2012.12.051

    Google Scholar 

  32. Thorleuchter, D., Van den Poel, D., Prinzie, A.: Mining Ideas from Textual Information. Expert. Syst. Appl. 37(10), 7182–7188 (2010)

    Article  Google Scholar 

  33. Thorleuchter, D., Van den Poel, D.: Improved Multilevel Security with Latent Semantic Indexing. Expert. Syst. Appl. 39(18), 13462–13471 (2012)

    Article  Google Scholar 

  34. Thorleuchter, D., Van den Poel, D., Prinzie, A.: A compared R&D-based and patent-based cross impact analysis for identifying relationships between technologies. Technol. Forecast. Soc. Change 77(7), 1037–1050 (2010)

    Article  Google Scholar 

  35. Thorleuchter, D., Van den Poel, D.: Web Mining based Extraction of Problem Solution Ideas. Expert. Syst. Appl. (in press, 2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Fraunhofer INT, Appelsgarten 2, D-53879, Euskirchen, Germany

    Dirk Thorleuchter

  2. Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, B-9000, Gent, Belgium

    Dirk Van den Poel

Authors
  1. Dirk Thorleuchter
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  2. Dirk Van den Poel
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Corresponding author

Correspondence to Dirk Thorleuchter .

Editor information

Editors and Affiliations

  1. , Faculty of Science and Technology, University Fernando Pessoa, Praça 9 de Abril 349, Porto, 4249-004, Portugal

    Álvaro Rocha

  2. , Instituto Superior de Estatística e, Universidade Nova de Lisboa, Campus de Campolide, Lisboa, 1070-312, Portugal

    Ana Maria Correia

  3. Broomfield Road 9, Sheffield, S10 2SE, United Kingdom

    Tom Wilson

  4. Empirica GmbH, Oxfordstr. 2, Bonn, 53111, Germany

    Karl A. Stroetmann

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Thorleuchter, D., Van den Poel, D. (2013). Analyzing Website Content for Improved R&T Collaboration Planning. In: Rocha, Á., Correia, A., Wilson, T., Stroetmann, K. (eds) Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36981-0_52

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  • DOI: https://doi.org/10.1007/978-3-642-36981-0_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36980-3

  • Online ISBN: 978-3-642-36981-0

  • eBook Packages: EngineeringEngineering (R0)

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