SPARQL Assist Language-Neutral Query Composer

SPARQL query composition is difficult for the lay-person or even the experienced bioinformatician in cases where the data model is unfamiliar. Established best-practices and internationalization concerns dictate that semantic web ontologies should use terms with opaque identifiers, further complicating the task. We present SPARQL Assist: a web application that addresses these issues by providing context-sensitive type-ahead completion to existing web forms. Ontological terms are suggested using their labels and descriptions, leveraging existing XML support for internationalization and language-neutrality.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: E. Luke McCarthy, Benjamin P. Vandervalk, Mark D. Wilkinson
• Keywords: Context-sensitive Type-ahead Completion, CORR 2010, Education, Semantic Web Ontologies, SPARQL Query Composition