2010 Webinar Series- 10.2
The New Age consumer is exposed to a lot more of information and anticipates better information delivery and searches over published literature. As a publisher or content provider it becomes all the more demanding to provide your end user with the required content.
2010 Webinar Series- 10.3
An indexing system can support discovery of information objects at levels of granularity beyond the abstract or article. Examples of such "Deep Indexing" could be figures, tables or other components drawn from scholarly journal articles. The primary aim is to make information contained in tables, figures, and graphs accessible through explicit, detailed indexing.
With the abundance of content - organizing your existing content in a way that users search is becoming increasingly crucial. Using publicly available ontologies and MC's proprietory workflow MC has come up with an end - to - end solution for semantically tagging content.