Retrieval, visualization and validation of affinities between documents

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00087400" target="_blank" >RIV/00216224:14330/15:00087400 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5220/0005662904520459" target="_blank" >http://dx.doi.org/10.5220/0005662904520459</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0005662904520459" target="_blank" >10.5220/0005662904520459</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Retrieval, visualization and validation of affinities between documents

Popis výsledku v původním jazyce

We present an Information Retrieval tool that facilitates the task of the user when searching for a particular information that is of interest to him. Our system processes a given set of documents to produce a graph, where nodes represent documents and links the similarities. The aim is to offer the user a tool to navigate in this space in an easy way. It is possible to collapse/expand nodes. Our case study shows affinity groups based on the similarities of text production of researchers. This goes beyond the already established communities revealed by co-authorship. The system characterizes the activity of each author by a set of automatically generated keywords and by membership to a particular affinity group. The importance of each author is highlighted visually by the size of the node corresponding to the number of publications and different measures of centrality.

Název v anglickém jazyce

Retrieval, visualization and validation of affinities between documents

Popis výsledku anglicky

We present an Information Retrieval tool that facilitates the task of the user when searching for a particular information that is of interest to him. Our system processes a given set of documents to produce a graph, where nodes represent documents and links the similarities. The aim is to offer the user a tool to navigate in this space in an easy way. It is possible to collapse/expand nodes. Our case study shows affinity groups based on the similarities of text production of researchers. This goes beyond the already established communities revealed by co-authorship. The system characterizes the activity of each author by a set of automatically generated keywords and by membership to a particular affinity group. The importance of each author is highlighted visually by the size of the node corresponding to the number of publications and different measures of centrality.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS

ISBN

9789897581588

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

452-459

Název nakladatele

SciTePress

Místo vydání

Lisbon; Portugal

Místo konání akce

Lisbon; Portugal

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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