SPARQL Assist Language-Neutral Query Composer
Luke McCarthy, Ben Vandervalk, Mark Wilkinson
TL;DR
SPARQL Assist is a web tool that simplifies SPARQL query creation for users unfamiliar with data models by providing context-aware suggestions and supporting internationalization.
Contribution
It introduces a language-neutral, context-sensitive autocomplete feature for SPARQL query composition, enhancing accessibility and usability.
Findings
Improves query formulation efficiency for non-experts.
Supports internationalization through label and description suggestions.
Facilitates semantic web ontology use with opaque identifiers.
Abstract
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.
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