Efficient Search and Browsing of CSV Datasets

Agata Filipowska , Krzysztof Węcel , Dominik Filipiak

Abstract

The paper presents an application developed within the FP7 LOD2 project that supports efficient search and browsing of CSV files. The application indexes CSV files using DBpedia categories and sophisticated strategies for identification of the best descriptors. The paper introduces the application as well as presents its usage scenario. To the best of our knowledge no similar solution exists.
Author Agata Filipowska (WIiGE / KIE)
Agata Filipowska,,
- Department of Information Systems
, Krzysztof Węcel (WIiGE / KIE)
Krzysztof Węcel,,
- Department of Information Systems
, Dominik Filipiak (WIiGE / KIE)
Dominik Filipiak,,
- Department of Information Systems
Journal seriesCEUR Workshop Proceedings, ISSN 1613-0073, (0 pkt)
Issue year2014
Vol1224
Pages6-9
Publication size in sheets0.5
Conference10th International Conference on Semantic Systems (SEMANTiCS 2014), 04-09-2014 - 05-09-2014, Leipzig, Niemcy
Keywords in EnglishLOD2; linked data; CSV; RDF
URL http://ceur-ws.org/Vol-1224/paper2.pdf
Languageen angielski
Score (nominal)0
Score sourcejournalList
ScoreMinisterial score = 0.0, 17-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 0.0, 17-12-2019, ArticleFromJournal
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Tytuł numeruProceedings of the Posters and Demos Track of 10th International Conference on Semantic Systems - SEMANTiCS2014
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