Paper Info
Title
Ann2RDF: moving annotations to semantic web.
Abstract
The annotation of concepts and susceptible interactions has been assuming a key role in the extraction of relevant information from published documents. However, distinct annotation tools generate also different formats, creating a barrier to efficiently combine and exchange this information. The migration of curated information into semantic web format and services provides an additional value to share that knowledge, but data transformation represents here an additional challenge. In this manuscript, we present a unified layer between text-mining tools and semantic web services to reduce the effort of combining different formats. The Ann2RDF is focused on reusing existing curated data from external text-mining tools to improve their availability through an open representation model. This result in a more suitable transition process, in which desired annotations are enriched with the possibility to be shared, compared and reused across semantic Knowledge Bases.
Year
DOI
Venue
2015
10.1145/2837185.2837253
iiWAS
Field
DocType
Citations 
Data mining,Semantic Web Stack,Computer science,Image retrieval,Semantic Web,Social Semantic Web,Semantic computing,World Wide Web,Information retrieval,Data Web,Information extraction,Semantic grid,Database
Conference
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Pedro Sernadela133.80
Sérgio Matos241529.51
José Luis Oliveira376084.03