Doc2RDFa: Semantic Annotation for Web Documents. Beno, M., Filtz, E., Kirrane, S., & Polleres, A. In Alam, M., Usbeck, R., Pellegrini, T., Sack, H., & Sure-Vetter, Y., editors, Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019), volume 2451, of CEUR Workshop Proceedings, Karlsruhe, Germany, September, 2019.
Doc2RDFa: Semantic Annotation for Web Documents [pdf]Paper  abstract   bibtex   
Ever since its conception, the amount of data published on the world-wide web has been rapidly growing to the point where it has become an importantsource of both general and domain specific information. However, the majority of documents published online are not machine readable by default. Many researchers believe that the answer to this problem is to semantically annotate these documents, and thereby contribute to the linked ``Web of Data''. Yet, the process of annotating web documents remains an open challenge. While some efforts towards simplifying this process have been made in the recent years, there is still a lack of semantic content creation tools that integrate well with information worker toolsets. Towards this end, we introduce Doc2RDFa, an HTML rich text processor with the ability to automatically and manually annotate domain-specific content.

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