WYSIWYM Authoring of Structured Content Based on Schema.org

摘要

Structured data is picking up on the Web, particularly in the search world. Schema.org, jointly initiated by Google, Microsoft, and Yahoo! provides a hierarchical set of vocabularies to embed metadata in HTML pages for an enhanced search and browsing experience. RDFaLite, Microdata and JSON-LD as lower semantic techniques have gained more attention by Web users to markup Web pages and even emails based on Schema.org. However, from the user interface point of view, we still lack user-friendly tools that facilitate the process of structured content authoring. The majority of information still is contained in and exchanged using unstructured documents, such as Web pages, text documents, images and videos. This can also not be expected to change, since text, images and videos are the natural way how humans interact with information. In this paper we present RDFaCE as an implementation of WYSIWYM (What-You-See-Is-What-You-Mean) concept for direct manipulation of semantically structured content in conventional modalities. RDFaCE utilizes on-the-fly form generation based on Schema.org vocabulary for embedding metadata within Web documents. Furthermore, it employs external NLP services to enable automatic annotation of entities and to suggest URIs for entities. RDFaCE is written as a plugin for TinyMCE WYSIWYG editor thereby can be easily integrated into existing content management systems.