Ontology Creation and Matching Using XML Schema for C2SIM Systems
Speaker: Samuel Suhas Singapogu, PhD candidate, C4I Center
Bio:
Samuel Suhas Singapogu is a PhD student in the Department of Computer Science and a Graduate Research Assistant with the C4I Center. His research interests include working with semantic technologies for interoperable systems, knowledge discovery for XML based systems and ontology evaluation using domain text corpus. He has been a member of the drafting group for Coalition Battle Management Language (C-BML) and is currently the Lead Editor for Command and Control systems to Simulation systems Interoperation (C2SIM) Product Development Group. In the past, he has worked in developing languages and tools for rapid prototyping of interoperable systems.
Abstract:
The next generation of command and control to simulation interoperability (C2SIM) technology will use ontologies to capture semantic data in the form of concepts, relationships and axioms. A well-defined and well-populated ontology captures semantic information to model existing knowledge and infer new knowledge effectively. Interoperable systems in the future will be expected to have their own input specification and knowledge representation (ontology). For complex systems, the process of creating ontologies manually can be tedious and error-prone. This talk presents a method to leverage semantic information in XML schemata. XML schema structures and novel part of speech tagging of XSD annotations are leveraged to create an automated process of knowledge discovery and ontology creation.
Ontology matching is the process of finding concepts that have similar, dissimilar and inheritance relationships between concepts of two ontologies. The output of the matching process is an ontological alignment that can serve as a mapping between the two ontologies/systems. Existing ontology matching methods largely depend on the edit-distance method of comparing string similarity between concept names in order to compute semantic similarity. XML schemas, often used to model syntax of a system, contain data useful to semantics. The structure and annotations within XML schemas can be used to compute semantic similarity. This talk presents an enhancement to using edit-distance similarity measure by identifying and incorporating measures drawn from XML schema structure and annotations. The newly developed semantic similarity measure is applied to comparing C2SIM ontologies.
Date/Time
09/28/2015
1:00 pm - 2:00 pm
Location
C4I Center ENGR 4705
Resilience: Beyond just “bouncing back,” resilience includes pre-crisis preparations and risk mitigation, effective incident management, and leveraging shocks and stresses to emerge stronger.
Initial Activities: The Lab leverages two complementary initiatives that recently have moved to GMU. STAR-TIDES and Collaborative Community Resilience (CCR) help build sustainable resilience to natural and man-made emergencies while increasing opportunities in under-served communities. They are described in more detail in the :