Introduction

The following dashboard is designed to demonstrate the queries that answer the competency questions to validate the ontology and linked data sources for people and departments within the University of Twente (UT). Concretely, this data source is made up of 6 different datasets from across the UT, including:

• UT departments and sections associated with particular buildings from peoplepagesopenapi
• Areas of expertise for each employee based on their HTML profile pages, for example
• Building names and addresses in excel format,
• Building coordinates from buildings API
• Building occupancy based on the CampusCrowd Map

The underlying ontology which supports the linking of these data sources can be explored as a live graphical representation here.

The following SPARQL queries serve to show the results for the competency questions regarding UT people and their expertise, organisations (departments and sections), buildings and their occupancy. The underlying question being answered and the exact content of each query is defined below. First the competency questions regarding buildings are answered. Secondly, the competency questions about persons are answered. Lastly, the competency questions about organisations are answered.

Introduction

The following dashboard is designed to demonstrate the queries (both analytical and transactional) that are now possible as a result of the development of the a linked data source for people and departments within the University of Twente (UT). Concretely, this data source is made up of 6 different datasets from across the UT, including:

• UT departments and sections associated with particular buildings from peoplepagesopenapi
• Areas of expertise for each employee based on their HTML profile pages, for example
• Building names and addresses in excel format,
• Building coordinates from buildings API
• Building occupancy based on the CampusCrowd Map

Please note, the source data is actually slightly broader and does also include data buildings and departments and their relation to people but a demonstration of this can be found in another dashboard (see: Buildings and Occupancy). This has only been separated for readability reasons but the source data is the same.

The underlying ontology which supports the linking of these data sources can be explored as a live graphical representation here.

The following SPARQL queries serve to show the results for various transactional or analytical questions regarding UT buildings and their occupancy. The underlying question being answered and the exact content of each query is defined below.

Introduction

The following dashboard is designed to demonstrate the queries (both analytical and transactional) that are now possible as a result of the development of the a linked data source for UT buildings and building-related information. Concretely, this data source is made up of 6 different datasets from across the University of Twente, including:

• Building names and addresses in excel format,
• Building coordinates from buildings API
• Building occupancy based on the CampusCrowd Map
• UT departments and sections associated with particular buildings from peoplepagesopenapi

Please note, the source data is actually slightly broader and does also include data about people and their relations to buildings and departments but a demonstration of this can be found in another dashboard (see: People and Departments). This has only been separated for readability reasons but the source data is the same.

The underlying ontology which supports the linking of these data sources can be explored as a live graphical representation here.

The following SPARQL queries serve to show the results for various transactional or analytical questions regarding UT buildings and their occupancy. The underlying question being answered and the exact content of each query is defined below.