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Recently RIAs (Rich Internet Applications) have been widely adopted in Web applications.Although RIAs realize that Web pages change dynamically, their accessibility is often insufficient, preventing people with disabilities from properly operating and recognizing content.To resolve these problems, the WAI (Web Accessibility Initiative) of the W3C (World Wide Web Consortium) has established accessibility guidelines, called WAI-ARIA (Web Accessibility Initiative -Accessible Rich Internet Applications), which provide detailed instructions to make RIAs accessible for users with disabilities employing ATs (assistive technologies).ATs include screen readers, alternative keyboards, screen magnification software, and voice recognition software.Applying these guidelines to Web applications is extremely burdensome due to the numerous elements in the guidelines.Herein we propose a method to automatically evaluate the accessibility of Web applications, reducing developers' efforts and costs.The target RIAs of our current method are developed by JavaScript.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.