Now showing items 8-27 of 29

  • Debugging knowledge-based applications with a generic toolkit 

    Craw, Susan; Boswell, Robin (IEEE, 2000-11)
    CRAW, S. and BOSWELL, R. 2000. Debugging knowledge-based applications with a generic toolkit. In: Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence. 2000. Vancouver, Canada. pp182-185.
    Knowledge refinement tools assist in the debugging and maintenance of knowledge based systems (KBSs) by attempting to identify and correct faults in the knowledge that account for incorrect problem-solving. Most ...
  • Design, innovation and case-based reasoning 

    Goel, Ashok K.; Craw, Susan (Cambridge University Press http://dx.doi.org/10.1017/S0269888906000609, 2005)
    GOEL, A. and CRAW, S., 2005. Design, innovation and case-based reasoning. Knowledge Engineering Review, 20 (3), pp. 271-276
    The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review the challenges that design poses for case-based reasoning ...
  • Finding the hidden gems: recommending untagged music. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart; Boswell, Robin (AAAI Press/ International Joint Conferences on Artificial Intelligence., 2011)
    HORSBURGH, B., CRAW, S., MASSIE, S. and BOSWELL, R., 2011. Finding the hidden gems: recommending untagged music. In: WALSH, T., ed. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. 16-22 July 2011. Menlo Park, California: AAAI Press/ International Joint Conferences on Artificial Intelligence. Pp. 2256-2261
    We have developed a novel hybrid representation for Music Information Retrieval. Our representation is built by incorporating audio content into the tag space in a tag-track matrix, and then learning hybrid concepts ...
  • Harnessing background knowledge for e-learning recommendation. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Springer https://dx.doi.org/10.1007/978-3-319-47175-4_1, 2016-11-05)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2016. Harnessing background knowledge for e-learning recommendation. In Bramer, M. and Petridis, M. (eds.) 2016. Research and development in intelligent systems XXXIII: incorporating applications and innovations in intelligent systems XXIV. Cham: Springer [online], pages 3-17. Available from: https://dx.doi.org/10.1007/978-3-319-47175-4_1
    The growing availability of good quality, learning-focused content on the Web makes it an excellent source of resources for e-learning systems. However, learners can find it hard to retrieve material well-aligned with ...
  • Integrating content and semantic representations for music recommendation. 

    Horsburgh, Ben (Robert Gordon University School of Computing Science, 2013-07)
    Music recommender systems are used by millions of people every day to discover new and exciting music. Central to making recommendations is the representation of each track, which may be used to calculate similarity. ...
  • A knowledge acquisition tool to assist case authoring from texts. 

    Asiimwe, Stella Maris (The Robert Gordon University School of Computing, 2009-03)
    Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without ...
  • Knowledge modelling for a generic refinement framework 

    Boswell, Robin; Craw, Susan (Elsevier http://dx.doi.org/10.1016/S0950-7051(99)00018-0, 1999-10)
    BOSWELL, R. and CRAW, S., 1999. Knowledge modelling for a generic refinement framework. Knowledge Based Systems, 12 (5-6), pp. 317-325
    Refinement tools assist with debugging the knowledge-based system (KBS), thus easing the well-known knowledge acquisition bottleneck, and the more recently recognised maintenance overhead. The existing refinement tools ...
  • Learning adaptation knowledge to improve case-based reasoning 

    Craw, Susan; Wiratunga, Nirmalie; Rowe, Ray (Elsevier http://dx.doi.org/10.1016/j.artint.2006.09.001, 2006-11)
    CRAW, S., WIRATUNGA, N. and ROWE, R., 2006. Learning adaptation knowledge to improve case-based reasoning. Artificial Intelligence, 170 (16-17), pp. 1175-1192.
    Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, ...
  • Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (Elsevier http://dx.doi.org/10.1016/j.artint.2014.11.004, 2015-02)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2015. Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. Artificial Intelligence, 219, pp. 25-39.
    Online recommender systems are an important tool that people use to find new music. To generate recommendations, many systems rely on tag representations of music. Such systems however suffer from tag sparsity, whereby tracks ...
  • Maintaining retrieval knowledge in a case-based reasoning system. 

    Craw, Susan; Jarmulak, Jacek; Rowe, Ray (Blackwell http://www.blackwellpublishing.com/journal.asp?ref=0824-7935&site=1, 2001-05)
    CRAW, S., JARMULAK, J. and ROWE, R., 2001. Maintaining retrieval knowledge in a case-based reasoning system. Computational Intelligence, 17 (2), pp. 346-363.
    The knowledge stored in a case-base is central to the problem-solving of a Case-Based Reasoning (CBR) system. Therefore, case-base main- tenance is a key component of maintaining a CBR system. However, other knowledge ...
  • A multi-objective evolutionary algorithm fitness function for case-base maintenance. 

    Lupiani, Eduardo; Craw, Susan; Massie, Stewart; Juarez, Jose M.; Palma, Jose T. (Springer. http://dx.doi.org/10.1007/978-3-642-39056-2_16, 2013-07)
    LUPIANI, E., CRAW, S., MASSIE, S., JUAREZ, J. M. and PALMA, J. T., 2013. A multi-objective evolutionary algorithm fitness function for case-base maintenance. In: S. J. DELANY and S. ONTANON, eds. Case-Based Reasoning Research and Development: Proceedings of the 21st International Conference, ICCBR 2013. 8-11 July 2013. Berlin: Springer. Pp. 218-232.
    Case-Base Maintenance (CBM) has two important goals. On the one hand, it aims to reduce the size of the case-base. On the other hand, it has to improve the accuracy of the CBR system. CBM can be represented as a ...
  • Music recommendation: audio neighbourhoods to discover music in the long tail. 

    Craw, Susan; Horsburgh, Ben; Massie, Stewart (Springer https://dx.doi.org/10.1007/978-3-319-24586-7_6, 2015-11-26)
    CRAW, S., HORSBURGH, B. and MASSIE, S. 2015. Music recommendation: audio neighbourhoods to discover music in the long tail. Lecture notes in computer science [online], 9343, Proceedings of the 23rd international conference on case-based reasoning (ICCBR 2015), pages 73-87. Available from: https://dx.doi.org/10.1007/978-3-319-24586-7_6
    Millions of people use online music services every day and recommender systems are essential to browse these music collections. Users are looking for high quality recommendations, but also want to discover tracks and artists ...
  • Music recommenders: user evaluation without real users? 

    Craw, Susan; Horsburgh, Ben; Massie, Stewart (AAAI/International Joint Conferences on Artificial Intelligence (IJCAI) http://ijcai.org/papers15/Papers/IJCAI15-249.pdf, 2015-07)
    CRAW, S., HORSBURGH, B. and MASSIE, S., 2015. Music recommenders: user evaluation without real users? In: Q. YANG and M. WOOLDRIDGE, eds. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. 25-31 July 2015. [online] Palo Alto: AAAI/IJCAI pp. 1749-1755. Available from: http://ijcai.org/papers15/contents.php [Accessed 10 August 2015]
    Good music recommenders should not only suggest quality recommendations, but should also allow users to discover new/niche music. User studies capture explicit feedback on recommendation quality and novelty, but can ...
  • Music-inspired texture representation. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (AAAI Press. http://www.aaai.org/Press/Proceedings/aaai12.php, 2012-07)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2012. Music-inspired texture representation. In: Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12). 22-26 July 2012. Palo Alto, CA: AAAI Press. Pp. 52-58.
    Techniques for music recommendation are increasingly relying on hybrid representations to retrieve new and exciting music. A key component of these representations is musical content, with texture being the most ...
  • Plan recommendation for well engineering. 

    Thomson, Richard; Massie, Stewart; Craw, Susan; Ahriz, Hatem; Mills, Ian (Springer http://dx.doi.org/10.1007/978-3-642-21827-9_45, 2011-07)
    THOMSON, R., MASSIE, S., CRAW, S., AHRIZ, H. and MILLS, I., 2011. Plan recommendation for well engineering. In: K. G. MEHOTRA, C. K. MOHAN, J. C. OH, P. K. VARSHNEY and M. ALI, eds. Modern Approaches in Applied Intelligence: Proceedings of the 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Part II. 28 June – 1 July 2011. Berlin: Springer. Pp. 436-445.
    Good project planning provides the basis for successful offshore well drilling projects. In this domain, planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan ...
  • Refinement complements verification and validation 

    Craw, Susan (Elsevier http://dx.doi.org/10.1006/ijhc.1996.0012, 1996-02)
    CRAW, S., 1996. Refinement complements verification and validation. International Journal of Human Computer Studies, 44 (2), pp. 245-256
    Knowledge based systems are being applied in ever increasing numbers. The development of knowledge acquisition tools has eased the “Knowledge Acquisition Bottleneck”. More recently there has been a demand for mechanisms ...
  • Refinement in response to validation. 

    Craw, Susan; Sleeman, D. (Elsevier http://dx.doi.org/10.1016/0957-4174(94)E0025-P, 1995-07)
    CRAW, S. and SLEEMAN, D., 1995. Refinement in response to validation. Expert Systems with Applications, 8 (3), pp. 343-349
    Knowledge-based systems (KBSs) are being applied in ever increasing numbers. In parallel with the development of knowledge acquisition tools is the demand for mechanisms to assure their quality, particularly in safety ...
  • Representing problem-solving for knowledge refinement. 

    Craw, Susan; Boswell, Robin (AAAI (distributed by MIT Press), 1999-09)
    CRAW, S. and BOSWELL, R. 1999. Representing problem-solving for knowledge refinement. In: AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE. AAAI-99. Proceedings of the Sixteenth National Conference on Artificial Intelligence and The Eleventh Annual Conference on Innovative Applications of Artificial Intelligence. 18-22 July 1999. Orlando, Florida. pp. 227-234
    Knowledge refinement tools seek to correct faulty knowledge based systems (KBSs) by identifying and repairing potentially faulty rules. The goal of the KrustWorks project is to provide a source of refinement components ...
  • Retrieval, reuse, revision and retention in case-based reasoning 

    Craw, Susan (Cambridge University Press http://dx.doi.org/10.1017/S0269888906000646, 2005)
    De Mantaras, Ramon Lopez et al, 2005. Retrieval, reuse, revision and retention in case-based reasoning. Knowledge Engineering Review, 20 (3), pp. 215-240.
    Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to ...
  • Self adapting websites: mining user access logs. 

    Bathumalai, Ganesan (The Robert Gordon University School of Computing, 2008-06)
    The Web can be regarded as a large repository of diversified information in the form of millions of websites distributed across the globe. However, the ever increasing number of websites in the Web has made it extremely ...