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@inproceedings{1344205,
author = {Trigo, Luis and Víta, Martin and Sarmento, Rui and Brázdil, Pavel},
address = {Lisbon; Portugal},
booktitle = {Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS},
doi = {http://dx.doi.org/10.5220/0005662904520459},
keywords = {Affinity network; Centrality measures; Comparison of rankings; Graph-based representation of documents; Information retrieval; Knowledge artifacts},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Lisbon; Portugal},
isbn = {978-989-758-158-8},
pages = {452-459},
publisher = {SciTePress},
title = {Retrieval, visualization and validation of affinities between documents},
year = {2015}
}
TY - JOUR
ID - 1344205
AU - Trigo, Luis - Víta, Martin - Sarmento, Rui - Brázdil, Pavel
PY - 2015
TI - Retrieval, visualization and validation of affinities between documents
PB - SciTePress
CY - Lisbon; Portugal
SN - 9789897581588
KW - Affinity network
KW - Centrality measures
KW - Comparison of rankings
KW - Graph-based representation of documents
KW - Information retrieval
KW - Knowledge artifacts
N2 - 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. Regarding the validation of the method, we analyse the impact of using different combinations of titles, abstracts and keywords on capturing the similarity between researchers.
ER -
TRIGO, Luis, Martin VÍTA, Rui SARMENTO a Pavel BRÁZDIL. Retrieval, visualization and validation of affinities between documents. In \textit{Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - Volume 3: KMIS}. Lisbon; Portugal: SciTePress, 2015, s.~452-459. ISBN~978-989-758-158-8. Dostupné z: https://dx.doi.org/10.5220/0005662904520459.
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