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
