Semantics-aware warehousing of symbolic trajectories

Abstract

We address the problem of extending the querying capabilities of Trajectories Data Warehouses (TDW) for symbolic trajectories, by introducing Semantic Relatedness (SR) as part of the formal model. This enables capturing the similarity between different annotations describing Points of Interest (POI), locations and activities. We formally define the inclusion of the relationship between different terms used as descriptors in symbolic trajectories and present the Semantic Relatedness in Trajectories Data Warehouse (SR-TDW) model. We introduce newly enabled queries in the SR-TDW model and illustrate the impacts of the added functionality. Our experiments demonstrate the benefits of the proposed approaches in terms of enriching the answer-sets for the common OLAP-based queries, and the sensitivity in terms of the various measures of semantic similarity.