Publikation: Citation Proximity Analysis (CPA) : A New Approach for Identifying Related Work Based on Co-Citation Analysis
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2009
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Beel, Jöran
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LARSEN, Birger, ed. and others. Proceedings of the 12th International Conference on Scientometrics and Informetrics, vol. 1. São Paulo: BIREME/PANO/WHO, 2009, pp. 571-575. ISSN 2175-1935
Zusammenfassung
This paper presents an approach for identifying similar documents that can be used to assist scientists in finding related work. The approach called Citation Proximity Analysis (CPA) is a further development of co-citation analysis, but in addition, considers the proximity of citations to each other within an article‟s full-text. The underlying idea is that the closer citations are to each other, the more likely it is that they are related. In comparison to existing approaches, such as bibliographic coupling, co-citation analysis or keyword based approaches the advantages of CPA are a higher precision and the possibility to identify related sections within documents. Moreover, CPA allows a more precise automatic document classification. CPA is used as the primary approach to analyse the similarity and to classify the 1.2million publications contained in the research paper recommender system Scienstein.org.
Zusammenfassung in einer weiteren Sprache
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004 Informatik
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ISSI’09 : 12th International Conference on Scientometrics and Informetrics, 14. Juli 2009 - 17. Juli 2009, Rio de Janeiro
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GIPP, Bela, Jöran BEEL, 2009. Citation Proximity Analysis (CPA) : A New Approach for Identifying Related Work Based on Co-Citation Analysis. ISSI’09 : 12th International Conference on Scientometrics and Informetrics. Rio de Janeiro, 14. Juli 2009 - 17. Juli 2009. In: LARSEN, Birger, ed. and others. Proceedings of the 12th International Conference on Scientometrics and Informetrics, vol. 1. São Paulo: BIREME/PANO/WHO, 2009, pp. 571-575. ISSN 2175-1935BibTex
@inproceedings{Gipp2009Citat-31366,
year={2009},
title={Citation Proximity Analysis (CPA) : A New Approach for Identifying Related Work Based on Co-Citation Analysis},
url={http://www.sciplore.org/wp-content/papercite-data/pdf/gipp09a.pdf},
issn={2175-1935},
publisher={BIREME/PANO/WHO},
address={São Paulo},
booktitle={Proceedings of the 12th International Conference on Scientometrics and Informetrics, vol. 1},
pages={571--575},
editor={Larsen, Birger},
author={Gipp, Bela and Beel, Jöran}
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<dcterms:abstract xml:lang="eng">This paper presents an approach for identifying similar documents that can be used to assist scientists in finding related work. The approach called Citation Proximity Analysis (CPA) is a further development of co-citation analysis, but in addition, considers the proximity of citations to each other within an article‟s full-text. The underlying idea is that the closer citations are to each other, the more likely it is that they are related. In comparison to existing approaches, such as bibliographic coupling, co-citation analysis or keyword based approaches the advantages of CPA are a higher precision and the possibility to identify related sections within documents. Moreover, CPA allows a more precise automatic document classification. CPA is used as the primary approach to analyse the similarity and to classify the 1.2million publications contained in the research paper recommender system Scienstein.org.</dcterms:abstract>
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2015-07-06
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