Toolset for Entity and Semantic Associations ? Final Release: Deliverable 8.4 of project EuDML

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00068102" target="_blank" >RIV/00216224:14330/13:00068102 - isvavai.cz</a>

Výsledek na webu

<a href="https://project.eudml.org/sites/default/files/D8.4.pdf" target="_blank" >https://project.eudml.org/sites/default/files/D8.4.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Toolset for Entity and Semantic Associations ? Final Release: Deliverable 8.4 of project EuDML

Popis výsledku v původním jazyce

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 neededfunctionality 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 andmatching methods.

Název v anglickém jazyce

Toolset for Entity and Semantic Associations ? Final Release: Deliverable 8.4 of project EuDML

Popis výsledku anglicky

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 neededfunctionality 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 andmatching methods.

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LG13010" target="_blank" >LG13010: Zastoupení ČR v European Research Consortium for Informatics and Mathematics</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů