Association Analyzer Implementation: State of the Art:
Deliverable 8.1 of project EuDML

u 2010

Association Analyzer Implementation: State of the Art: Deliverable 8.1 of project EuDML

LEE, Mark, Petr SOJKA, Volker SORGE, Josef BAKER, Wojtek HURY et. al.

Základní údaje

Originální název

Association Analyzer Implementation: State of the Art: Deliverable 8.1 of project EuDML

Autoři

LEE, Mark (826 Velká Británie a Severní Irsko), Petr SOJKA (203 Česká republika, garant, domácí), Volker SORGE (826 Velká Británie a Severní Irsko), Josef BAKER (826 Velká Británie a Severní Irsko), Wojtek HURY (616 Polsko) a Łukasz BOLIKOWSKI (616 Polsko)

Vydání

1 as of 27th November 2010. 22 s. Deliverable D8.1, 2010

Nakladatel

EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library

Další údaje

Jazyk

angličtina

Typ výsledku

Účelové publikace

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Fulltext

Kód RIV

RIV/00216224:14330/10:00062172

Organizační jednotka

Fakulta informatiky

Klíčová slova anglicky

The European Digital Mathematics Library; EuDML; gensim; citation linking; crossref; citation matching; document clustering; identity discovery

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 12. 2012 18:15, doc. RNDr. Petr Sojka, Ph.D.

Anotace

V originále

This report focuses on two key technologies: Citation Indexing and Document Clustering. Citation Indexing concerns the automatic parsing and linking of citations to create a network of documents within the collection. This technology is well established in digital libraries and searchable archives such as CiteSeerX, Google Scholar, general projects as DRIVER, and mathematical specific digital libraries such as NUMDAM, DML-CZ or referative databases Zentralblatt MATH and Mathematical Reviews. Document Classification and Clustering are also established technologies within Information Retrieval but have not to date been widely used within digital libraries. In particular, there is very little previous work applying classification and clustering techniques to mathematical documents. However, initial research appears promising and we believe that the addition of these technologies will allow facilities beyond the current state of the art.

Návaznosti

250503, interní kód MU

Název: The European Digital Mathematics Library (Akronym: EuDML)

Investor: Evropská unie, The European Digital Mathematics Library

Citovat

LEE, Mark, Petr SOJKA, Volker SORGE, Josef BAKER, Wojtek HURY a Łukasz BOLIKOWSKI. Association Analyzer Implementation: State of the Art: Deliverable 8.1 of project EuDML. 1 as of 27th November 2010. EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library, 2010, 22 s. Deliverable D8.1.

@misc{1076136,
   author = {Lee, Mark and Sojka, Petr and Sorge, Volker and Baker, Josef and Hury, Wojtek and Bolikowski, Łukasz},
   edition = {1 as of 27th November 2010},
   keywords = {The European Digital Mathematics Library; EuDML; gensim; citation linking; crossref; citation matching; document clustering; identity discovery},
   language = {eng},
   publisher = {EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library},
   title = {Association Analyzer Implementation: State of the Art: Deliverable 8.1 of project EuDML},
   url = {https://project.eudml.org/sites/default/files/D8.1-v1.pdf},
   year = {2010}
}

TY  - GEN
ID  - 1076136
AU  - Lee, Mark - Sojka, Petr - Sorge, Volker - Baker, Josef - Hury, Wojtek - Bolikowski, Łukasz
PY  - 2010
TI  - Association Analyzer Implementation: State of the Art: Deliverable 8.1 of project EuDML
VL  - Deliverable D8.1
PB  - EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library
KW  - The European Digital Mathematics Library
KW  - EuDML
KW  - gensim
KW  - citation linking
KW  - crossref
KW  - citation matching
KW  - document clustering
KW  - identity discovery
UR  - https://project.eudml.org/sites/default/files/D8.1-v1.pdf
L2  - https://project.eudml.org/sites/default/files/D8.1-v1.pdf
N2  - This report focuses on two key technologies: Citation Indexing and Document Clustering. Citation Indexing concerns the automatic parsing and linking of citations to create a network of documents within the collection. This technology is well established in digital libraries and searchable archives such as CiteSeerX, Google Scholar, general projects as DRIVER, and mathematical specific digital libraries such as NUMDAM, DML-CZ or referative databases Zentralblatt MATH and Mathematical Reviews. Document Classification and Clustering are also established technologies within Information Retrieval but have not to date been widely used within digital libraries. In particular, there is very little previous work applying classification and clustering techniques to mathematical documents. However, initial research appears promising and we believe that the addition of these technologies will allow facilities beyond the current state of the art.
ER  -

LEE, Mark, Petr SOJKA, Volker SORGE, Josef BAKER, Wojtek HURY a Łukasz BOLIKOWSKI. \textit{Association Analyzer Implementation: State of the Art: Deliverable 8.1 of project EuDML}. 1 as of 27th November 2010. EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library, 2010, 22 s. Deliverable D8.1.

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