Representation

In knowledge representation (ontology), I have been involved in building and using ontologies for novel business application.

The most significant ontology I have been involved in building is SCRIBE (Smart Cities Reference Information and Behavior Exchange). Its model files are publicly available. The model has been used in industrial applications and also by many leading research groups.

I represented IBM at World Wide Web Consortium's working group on Government Linked Data.

Papers

    1. The D-SCRIBE Process for Building a Scalable Ontology, Robert Schloss, Rosario Uceda-Sosa, Biplav Srivastava, in Semantic Cities workshop held with Twenty-Seventh Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, July 28, 2014. [Describes D-SCRIBE process of building ontology]
    2. SemEnAl: Using Semantics for Accelerating Environmental Analytical Model Discovery, Kalapriya Kannan, Biplav Srivastava, Rosario U.-Sosa, Robert J. Schloss, and Xiao Liu, Big Data Analytics (BDA 2014), New Delhi, India, Dec 20-23, 2014. [SemWeb-Envt Models]
    3. Utility-driven Evolution Recommender for a Constrained Ontology, Pramod Anantharam, Biplav Srivastava, Amit Sheth. In 3rd International Conference on Web Intelligence, Mining and Semantics (WIMS'13), Madrid, Spain, June 12-14, 2013.[Ontology]
  1. Linked Data Glossary, Bernadette Hyland, Ghislain Atemezing, Michael Pendleton, Biplav Srivastava (eds), At http://www.w3.org/TR/ld-glossary/ (2013) [Area: Semantic Web]
    1. Building a Highly Consumable Semantic Model for Smarter Cities, Rosario Uceda-Sosa, Biplav Srivastava, Robert Schloss, in AI for an Intelligent Planet (AIIP) workshop held with International Joint Conference on Artificial Intelligence (IJCAI 2011) conference, Barcelona, Spain, July 18, 2011.[Area: Ontology-SmarterCities]