The document discusses challenges with open data and proposes solutions to improve data integration and semantics. It notes that open data comes in different formats like SHP and CSV that lack consistent semantics. Adding semantics and normalizing data structures would help, as would defining a meta-semantic model and treating dimensions like time, topic and space as first-class entities. Ontologies also exist for standardizing terminology across various topics.