Link Proximity Analysis : Clustering Websites by Examining Link Proximity

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GIPP, Bela, Adriana TAYLOR, Jöran BEEL, 2010. Link Proximity Analysis : Clustering Websites by Examining Link Proximity. 14th ECDL 2010. Glasgow, 6. Sep 2010 - 10. Sep 2010. In: LALMAS, Mounia, ed. and others. Research and advanced technology for digital libraries : 14th European Conference, ECDL 2010, Glasgow, UK, September 6 - 10, 2010; proceedings. 14th ECDL 2010. Glasgow, 6. Sep 2010 - 10. Sep 2010. Berlin [u.a.]:Springer, pp. 449-452. ISBN 978-3-642-15463-8

@inproceedings{Gipp2010Proxi-30947, title={Link Proximity Analysis : Clustering Websites by Examining Link Proximity}, year={2010}, doi={10.1007/978-3-642-15464-5_54}, number={6273}, isbn={978-3-642-15463-8}, address={Berlin [u.a.]}, publisher={Springer}, series={Lecture Notes in Computer Science}, booktitle={Research and advanced technology for digital libraries : 14th European Conference, ECDL 2010, Glasgow, UK, September 6 - 10, 2010; proceedings}, pages={449--452}, editor={Lalmas, Mounia}, author={Gipp, Bela and Taylor, Adriana and Beel, Jöran} }

<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/123456789/30947"> <dc:contributor>Gipp, Bela</dc:contributor> <dc:creator>Beel, Jöran</dc:creator> <dc:contributor>Beel, Jöran</dc:contributor> <dc:contributor>Taylor, Adriana</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-05-13T08:34:30Z</dc:date> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-05-13T08:34:30Z</dcterms:available> <dcterms:abstract xml:lang="eng">This research-in-progress paper presents a new approach called Link Proximity Analysis (LPA) for identifying related web pages based on link analysis. In contrast to current techniques, which ignore intra-page link analysis, the one put forth here examines the relative positioning of links to each other within websites. The approach uses the fact that a clear correlation between the proximity of links to each other and the subject-relatedness of the linked websites can be observed on nearly every web page. By statistically analyzing this relationship and measuring the amount of sentences, paragraphs, etc. between two links, related websites can be automatically, identified as a first study has proven.</dcterms:abstract> <dc:creator>Gipp, Bela</dc:creator> <dc:language>eng</dc:language> <dc:creator>Taylor, Adriana</dc:creator> <dcterms:title>Link Proximity Analysis : Clustering Websites by Examining Link Proximity</dcterms:title> <dcterms:issued>2010</dcterms:issued> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30947"/> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150305140228786-3747162-5"/> </rdf:Description> </rdf:RDF>

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