ABSTRACT
In a previous paper we presented various ideas on how information retrieval on mind maps could enhance applications such as expert systems, search engines and recommender systems. In this paper we present the first research results. In a brief experiment we researched link analysis respectively citation analysis, if applied to mind maps, is suitable to calculate document relatedness. The basic idea is that if two documents A and B are linked by the same mind map, these documents are likely to be related. This information could be used by item-based document recommender systems. In the example, document B could be recommended to those users interested in document A. In addition, we propose that those documents linked in high proximity within a mind map are more closely related than those documents linked in lower proximity. The results of our experiment support our ideas. It seems that link analysis applied to mind maps can be used for determining the relatedness of documents and therefore for improving document recommender systems.
References
- Jöran Beel, Bela Gipp, and Jan Olaf Stiller. Information Retrieval on Mind Maps -- What could it be good for? In Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom'09), Washington (USA), November 2009. IEEE.Google Scholar
Cross Ref
- N. Agarwal, E. Haque, H. Liu, and L. Parsons. Research Paper Recommender Systems: A Subspace Clustering Approach. Lecture notes in computer science, 3739: 475, 2005. Google Scholar
Digital Library
- R. Torres, S. M. McNee, M. Abel, J. A. Konstan, and J. Riedl. Enhancing digital libraries with TechLens. In Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, pages 228--236. ACM New York, NY, USA, 2004. Google Scholar
Digital Library
- T. Y. Tang and G. McCalla. Mining implicit ratings for focused collaborative filtering for paper recommendations. In UM 2003, Workshop on User and Group Models for Web-based Adaptive Collaborative Environments, 2003.Google Scholar
- T. Bogers and A. van den Bosch. Recommending scientific articles using citeulike. In Proceedings of the 2008 ACM conference on Recommender systems, pages 287--290. ACM New York, NY, USA, 2008. Google Scholar
Digital Library
- M. Gori and A. Pucci. Research paper recommender systems: A random-walk based approach. In Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, pages 778--781. IEEE Computer Society Washington, DC, USA, 2006. Google Scholar
Digital Library
- Bela Gipp, Jöran Beel, and Christian Hentschel. Scienstein: A Research Paper Recommender System. In Proceedings of the International Conference on Emerging Trends in Computing (ICETiC'09), pages 309--315, Virudhunagar (India), January 2009. Kamaraj College of Engineering and Technology India, IEEE. Available on http://www.sciplore.org.Google Scholar
- W. Lu, J. Janssen, E. Milios, N. Japkowicz, and Y. Zhang. Node similarity in the citation graph. Knowledge and Information Systems, 11 (1): 105--129, 2007. Google Scholar
Digital Library
- I V Marshakova. System of document connections based on references. Nauchno-Tekhnicheskaya Informatsiya, 2 (6): 3--8, 1973.Google Scholar
- Bela Gipp and Jöran Beel. Citation Proximity Analysis (CPA) - A new approach for identifying related work based on Co-Citation Analysis. In Birger Larsen and Jacqueline Leta, editors, Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI'09), volume 2, pages 571--575, Rio de Janeiro (Brazil), July 2009. International Society for Scientometrics and Informetrics. ISSN 2175-1935. Available on http://www.sciplore.org.Google Scholar
- D. Lee, K. Jaewoo, M. Prasenjit, L. Giles, and O. Byung-Won. Are your citations clean? Communications of the ACM, 50: 33--38, 2007. Google Scholar
Digital Library
- M. H. MacRoberts and B. MacRoberts. Problems of Citation Analysis. Scientometrics, 36: 435--444, 1996.Google Scholar
Cross Ref
- H Small. Co-citation in the scientific literature: a new measure of the relationship between two documents. Journal of the American Society for Information Science, 24: 265--269, 1973.Google Scholar
- SourceForge. SourceForge.net: Project Statistics for FreeMind. Website, 2008. URL http://sourceforge.net/project/-stats/-detail.php?group_id=7118&ugn=freemind&type=prdownload&mode=year&year=2008&package_ihttp://sourceforge.net/project/-stats/-detail.php?group_id=7118&ugn=freemind&type=prdownload&mode=year&year=2008&package_id=0.Google Scholar
- MindJet. MindJet: About MindJet. Website, Juli 2009. URL http://www.mindjet.com/about/.Google Scholar
- Open Directory Project DMOZ. Open Directory - Reference: Knowledge Management: Knowledge Creation: Mind Mapping: Software. Website, Juli 2009. URL http://www.dmoz.org/-Reference/Knowledge_Management/Knowledge_Creation/-Mind_Mapping/Software/.Google Scholar
- Mind-Mapping.org. Software for mindmapping and information organisation. Website, Juli 2009. URL http://-www.mind-mapping.org/mind-mapping-software/-35?selectedCategories{}=mind%20maps&selectedOSes{}=all%20operating%20systems&pastOrPresent{}=current&datePicker2=&filterData=Show+selected+items.Google Scholar
- Jöran Beel, Bela Gipp, and Christoph Müller. 'SciPlore MindMapping' -- A Tool for Creating Mind Maps Combined with PDF and Reference Management. D-Lib Magazine, 15 (11), November 2009. doi: 10.1045/november2009-inbrief. URL http://www.dlib.org/dlib/november09/11inbrief.html. Brief Online Article. Alternatively available on http://www.sciplore.org.Google Scholar
Index Terms
Link analysis in mind maps: a new approach to determining document relatedness




Comments