Semantic Context Similarity

Problem Description

Develop a measure of semantic relatedness between two or more contexts that represent some state-of-the-world. Context may involve information of various types, including spatial-temporal information such as location, date and time, physical information such as traffic and weather or social information such as the people in a meeting or building, etc.

Progress

Currently we have identified two possible ways to approach the problem,

• Represent context as a multidimensional model and use similarity techniques with semantics to calculate the similarity of two contexts
• Represent context as a graph based data mode and use graph similarity measures to calculate the similarity of two contexts