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.
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: Barry Smith; Michael Ashburner; Cornelius Rosse; Jonathan Bard; William Bug; Werner Ceusters; Louis J Goldberg; Karen Eilbeck; Amelia Ireland; Christopher J Mungall; Neocles Leontis; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Richard H Scheuermann; Nigam Shah; Patricia L Whetzel; Suzanna Lewis Journal: Nat Biotechnol Date: 2007-11 Impact factor: 54.908
Authors: Ali Hasnain; Qaiser Mehmood; Syeda Sana E Zainab; Muhammad Saleem; Claude Warren; Durre Zehra; Stefan Decker; Dietrich Rebholz-Schuhmann Journal: J Biomed Semantics Date: 2017-03-15
Authors: Jesse Cj van Dam; Jasper J Koehorst; Peter J Schaap; Vitor Ap Martins Dos Santos; Maria Suarez-Diez Journal: J Biomed Semantics Date: 2015-10-23