Link analysis in mind maps : a new approach to determining document relatedness

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BEEL, Jöran, Bela GIPP, 2010. Link analysis in mind maps : a new approach to determining document relatedness. ICUIMC '10. Suwon, 14. Jan 2010 - 15. Jan 2010. In: KIM, Won, ed.. Proceedings of the 4th International Conference on Uniquitous Information Management and Communication. ICUIMC '10. Suwon, 14. Jan 2010 - 15. Jan 2010. New York:ACM, 38. ISBN 978-1-60558-893-3

@inproceedings{Beel2010analy-31085, title={Link analysis in mind maps : a new approach to determining document relatedness}, year={2010}, doi={10.1145/2108616.2108662}, isbn={978-1-60558-893-3}, address={New York}, publisher={ACM}, booktitle={Proceedings of the 4th International Conference on Uniquitous Information Management and Communication}, editor={Kim, Won}, author={Beel, Jöran and Gipp, Bela}, note={Article Number: 38} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/31085"> <dcterms:title>Link analysis in mind maps : a new approach to determining document relatedness</dcterms:title> <dc:contributor>Beel, Jöran</dc:contributor> <dc:language>eng</dc:language> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <dc:creator>Beel, Jöran</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31085"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-06-02T06:56:16Z</dc:date> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-06-02T06:56:16Z</dcterms:available> <dc:creator>Gipp, Bela</dc:creator> <dc:contributor>Gipp, Bela</dc:contributor> <dcterms:issued>2010</dcterms:issued> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150305140228786-3747162-5"/> </rdf:Description> </rdf:RDF>

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