Combining a REST lexical analysis web service with SPARQL for mashup semantic annotation from text

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Research units


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.


Original languageEnglish
Title of host publicationThe Semantic Web: ESWC 2014 Satellite Events, Revised Selected Papers
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventExtended Semantic Web Conference Satellite Events - Ouro Preto, Brazil
Duration: 20 Oct 201422 Oct 2014
Conference number: 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


ConferenceExtended Semantic Web Conference Satellite Events
Abbreviated titleESWC
CityOuro Preto

ID: 4482268