Elpub : Digital Library : Works

Paper 114_elpub2014:
Similarity between text and RDF

id 114_elpub2014
authors Schiessl, Marcelo; Berardi, Rita; Bräscher, Marisa
year 2014
title Similarity between text and RDF
source ELPUB2014. Let's put data to use: digital scholarship for the next generation, 18th International Conference on Electronic Publishing 19-20 June 2014, Thessaloniki, Greece.
summary Recently, sources of structured and unstructured data have been made available on the web, and gained attention among researchers from several areas. They are become more interested in using this global dataset due to its size and variety of information. In the Semantic Web field, many studies have translated structured data into unstructured data, and vice-versa, to make them comprehensible to machines and humans. However, we argue that we can take advantage of the existing information, in both text and RDF format. In this paper we focus on finding a way to compare them, and discovering which available text can represent an existing RDF. Hence, we propose a strategy to check whether a text represents the same knowledge that is shown in RDF format.
keywords Semantic Web, Natural Language Processing, Similarity measurement, RDF, Knowledge representation
series ELPUB:2014
type poster
content file.pdf (412,573 bytes)
discussion No discussions. Post discussion ...
ratings
urn:nbn urn:nbn:se:elpub-114_elpub2014
last changed 2014/06/22 17:59
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