LEE, Mark, Petr SOJKA, Radim ŘEHŮŘEK, Radim HATLAPATKA, Maroš KUCBEL, Thierry BOUCHE, Claude GOUTORBE, Romeo ANGHELACHE and Krzysztof WOJCIECHOWSKI. Toolset for Entity and Semantic Associations – Final Release: Deliverable 8.4 of project EuDML. 1.0 as of 8th February 2013. EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library, 2013. 13 pp. Deliverable D8.4.
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Basic information
Original name Toolset for Entity and Semantic Associations – Final Release: Deliverable 8.4 of project EuDML
Authors LEE, Mark (826 United Kingdom of Great Britain and Northern Ireland), Petr SOJKA (203 Czech Republic, guarantor, belonging to the institution), Radim ŘEHŮŘEK (203 Czech Republic, belonging to the institution), Radim HATLAPATKA (203 Czech Republic, belonging to the institution), Maroš KUCBEL (203 Czech Republic, belonging to the institution), Thierry BOUCHE (250 France), Claude GOUTORBE (250 France), Romeo ANGHELACHE (250 France) and Krzysztof WOJCIECHOWSKI (616 Poland).
Edition 1.0 as of 8th February 2013. 13 pp. Deliverable D8.4, 2013.
Publisher EU CIP-ICT-PSP project 250503 EuDML: The European Digital Mathematics Library
Other information
Original language English
Type of outcome Special-purpose publication
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW Fulltext wiki
RIV identification code RIV/00216224:14330/13:00068102
Organization unit Faculty of Informatics
Keywords in English The European Digital Mathematics Library; EuDML;
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2014 06:26.
Abstract
In this document we describe the final release of the toolset for entity and semantic associations, integrating two versions (language dependent and language independent) of Unsupervised Document Similarity implemented by MU (using the gensim tool) and Citation Indexing, Resolution and Matching (UJF/CMD). We give a brief description of tools, the rationale behind decisions made, and provide elementary evaluation. Tools are integrated in the main project result, EuDML website, and they deliver the needed functionality for exploratory searching and browsing the collected documents. EuDML users and content providers thus benefit from millions of algorithmically generated similarity and citation links, developed using state of the art machine learning and matching methods.
Links
LG13010, research and development projectName: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)
Investor: Ministry of Education, Youth and Sports of the CR
250503, interní kód MUName: The European Digital Mathematics Library (Acronym: EuDML)
Investor: European Union
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