Cambridge Semantic Web Monthly Meetup

Agenda

Richard Mallah, Cambridge Semantics: Leveraging Semantics for Text Mining and Text Analytics

Semantic web technologies provide the operational meaning and flexibility to both aid the process of text analytics and unlock the potential of that analysis. Linked Data, OWL, and semantic relationships can significantly help inform the natural language processing algorithms, and can also be leveraged to link annotations or extractions from multiple different NLP engines in meaningful ways. Semantic links to structured and semistructured
data also allow these higher-level unstructured extractions to then be used operationally and in context. Join us as we show how Cambridge Semantics' Anzo Unstructured unlocks this potential.

Stéphane Corlosquet, MIND Informatics, MGH: WebID module for Drupal

WebID (http://webid.info/) is an open standard for identity and password-less login on the Web. WebID is designed to help alleviate the difficulty that remembering different logins, passwords and settings for websites has created. It is also designed to provide a universal and extensible mechanism to express public and private information about identity online. More at http://drupal.org/project/webid and http://openspring.net/scor