Combination of statistical and semantic data sources for the improvement of software engineering courses (Vision Paper).
Michael KochMarkus RingFlorian OttoDieter LandesPublished in: EDM (2014)
Keyphrases
- engineering courses
- data sources
- semantic relationships
- heterogeneous data sources
- data integration
- real time
- semantic heterogeneity
- software systems
- statistical analysis
- computer systems
- vision system
- software engineering
- software architecture
- computer vision
- software tools
- software design
- distributed data sources
- domain ontology
- high level
- semantic similarity
- software development
- multiple data sources
- semantic annotation
- semantic network
- software projects
- e learning
- software maintenance
- user interface
- information sources
- semantically heterogeneous
- machine learning
- artificial intelligence
- data sets
- geospatial data
- data repositories
- semantic features
- multiple sources
- significant improvement
- low level
- information theoretic
- statistical models
- data warehouse
- domain specific