https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/Head https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/assertion https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/provenance https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/pubinfo https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/assertion http://id.crossref.org/issn/0302-9743 http://purl.org/dc/terms/title Data Integration in the Life Sciences https://doi.org/10.1007/11799511_7 http://purl.org/dc/terms/abstract Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since authors write in natural language, text mining is a great natural language processing challenge, which is far from being solved. We propose an alternative: If authors and editors summarize the main facts in a controlled natural language, text mining will become easier and more powerful. To demonstrate this approach, we use the language Attempto Controlled English (ACE). We define a simple model to capture the main aspects of protein interactions. To evaluate our approach, we collected a dataset of 459 paragraph headings about protein interaction from literature. 56% of these headings can be represented exactly in ACE and another 23% partially. These results indicate that our approach is feasible. https://doi.org/10.1007/11799511_7 http://purl.org/dc/terms/date 2006 https://doi.org/10.1007/11799511_7 http://purl.org/dc/terms/isPartOf http://id.crossref.org/issn/0302-9743 https://doi.org/10.1007/11799511_7 http://purl.org/dc/terms/title Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions https://doi.org/10.1007/11799511_7 http://purl.org/ontology/bibo/authorList https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/author-list https://doi.org/10.1007/11799511_7 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/BookChapter https://orcid.org/0000-0002-1267-0234 http://xmlns.com/foaf/0.1/name Tobias Kuhn https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_1 https://orcid.org/0000-0002-1267-0234 https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_2 https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/loic-royer https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_3 https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/norbert-e-fuchs https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/author-list http://www.w3.org/1999/02/22-rdf-syntax-ns#_4 https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/michael-schroeder https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/loic-royer http://xmlns.com/foaf/0.1/name Loic Royer https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/michael-schroeder http://xmlns.com/foaf/0.1/name Michael Schroeder https://w3id.org/np/RA5OYsuycbDDSV7IUGHMxp5WpSga4LSmf0HJB-Q-wPBa8/norbert-e-fuchs http://xmlns.com/foaf/0.1/name Norbert E. 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