Doc2RDFa: Semantic Annotation for Web Documents

Beno, Martin and Filtz, Erwin and Kirrane, Sabrina ORCID: and Polleres, Axel (2019) Doc2RDFa: Semantic Annotation for Web Documents. In: Proceedings of the Posters and Demos Track of the 15th International Conference on Semantic Systems (SEMANTiCS 2019). Published by its editors, Karlsruhe, Germany. pp. 1-5.

Available under License Creative Commons: Attribution 4.0 International (CC BY 4.0).

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Ever since its conception, the amount of data published on the worldwide web has been rapidly growing to the point where it has become an important source 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.

Item Type: Book Section
Keywords: Information retrieval, Semantic web, RDFa
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft > Polleres
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 07 Apr 2020 08:12
Last Modified: 07 Apr 2020 08:12
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