Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation.
Najmeh Mousavi NejadSimon ScerriSören AuerPublished in: SEMANTiCS (2017)
Keyphrases
- end users
- semantic interpretation
- web applications
- high level
- user requirements
- application development
- clustering algorithm
- user interface
- k means
- open source
- clustering method
- semantic description
- natural language
- user driven
- service providers
- search tools
- user experience
- semantic web
- multiple interpretations
- business intelligence
- semantic information
- software package
- data mining
- source code
- data points
- user friendliness