@inproceedings{makela-sarpa-2014,
  author =   {Eetu Mäkelä},
  title =    {Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text},
  year = {2014},
  abstract = {Current automatic annotation systems are often monolithic, holding internal copies of both machine-learned annotation models and the reference vocabularies they use. This is problematic particularly for frequently changing references such as person and place registries, as the information in the copy quickly grows stale. In this paper, arguments and experiments are presented on the notion that sufficient accuracy and recall can both be obtained simply by combining a sufficiently capable lexical analysis web service with querying a primary SPARQL store, even in the case of often problematic highly inflected languages.},
  booktitle = {The Semantic Web: ESWC 2014 Satellite Events. ESWC 2014},
  editor = {Presutti, V. and Blomqvist, E. and Troncy, R. and Sack, H. and Papadakis, I. and Tordai, A.},
  publisher = {Springer-Verlag},
  pages = {424--428},
  url = {https://doi.org/10.1007/978-3-319-11955-7_60},
  month = {May},
  OPTannotate = {semantic annotation, automatic annotation, lexical analysis, lightweight integration, modular integration},
  OPTproject = {http://www.seco.hut.fi/projects/dcert/}
}