title: SPARQL assist language-neutral query composer.
abstract: BACKGROUND
  SPARQL query composition is difficult for the lay-person, and even the experienced bioinformatician in cases where the data model is unfamiliar. Moreover, established best-practices and internationalization concerns dictate that the identifiers for ontological terms should be opaque rather than human-readable, which further complicates the task of synthesizing queries manually.
  
  
  RESULTS
  We present SPARQL Assist: a Web application that addresses these issues by providing context-sensitive type-ahead completion during SPARQL query construction. Ontological terms are suggested using their multi-lingual labels and descriptions, leveraging existing support for internationalization and language-neutrality. Moreover, the system utilizes the semantics embedded in ontologies, and within the query itself, to help prioritize the most likely suggestions.
  
  
  CONCLUSIONS
  To ensure success, the Semantic Web must be easily available to all users, regardless of locale, training, or preferred language. By enhancing support for internationalization, and moreover by simplifying the manual construction of SPARQL queries through the use of controlled-natural-language interfaces, we believe we have made some early steps towards simplifying access to Semantic Web resources.
authors.forename: Luke
authors.initials: L
authors.lastname: McCarthy
authors.forename: Ben
authors.initials: B
authors.lastname: Vandervalk
authors.forename: Mark
authors.initials: M
authors.lastname: Wilkinson
mesh_terms: D064229:Biological Ontologies; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual; D020407:Internet; D012660:Semantics; D012984:Software