Cirrus Shakeri, SAP Labs

In this talk we will report on using semantic technologies in implementing tools for enterprise information management and decision support systems. We have built proof-of-concept software tools that assist knowledge workers in making sense of information within the context of some business processes.

The OWL ontology language is used to implement domain-independent as well as domain-specific models for guiding the process of gathering and filtering relevant information. RDF is used to represent a complex data structure for organizing and arranging relevant information. A semantic query and inference engine is used in formulating hypotheses about possible ways that the information gathered may explain the situation at hand. Alternative hypotheses are compared and ranked via probabilistic reasoning. The combination of these capabilities result in assisting knowledge workers in making sense of large volumes of information, connecting the dots, explaining events, and making informed decisions.

Attachment: Making Sense of Information with Semantic Technologies.mp3 (56.65 MB)

Presenters:

Cirrus Shakeri
SAP Labs

Cirrus Shakeri is a senior research scientist at SAP Labs in Palo Alto, CA. He has made a career for himself in bringing scientific theories into practice and turning new discoveries into products. He has extensive industry experience in Engineering, Product Lifecycle Management (PLM) and Business Process Management (BPM). His focus at SAP Research is on discovering methods and tools for empowering business users of the SAP products and especially the applications of semantic technologies in harnessing information to create actionable knowledge and providing the context for optimum decision making. His research interests are in applications of AI, intelligent software agents, knowledge management, semantic technologies, sensemaking, and cognitive computing. He received a PhD in AI and Engineering from Worcester Polytechnic Institute in Massachusetts in 1998. He is a member of the IEEE Computer Society.

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