Machine Learning-based Query Augmentation for SPARQL Endpoints.
Mariano RicoRizkallah ToumaAnna QueraltMaría S. PérezPublished in: WEBIST (2018)
Keyphrases
- endpoints
- sparql queries
- machine learning
- rdf data
- query evaluation
- query engine
- database
- query formulation
- query processing
- query language
- relevance feedback
- rewriting rules
- data structure
- feature selection
- data mining
- minimal cost
- query rewriting
- vector space
- database queries
- machine learning methods
- line segments
- machine learning algorithms
- response time
- linked data
- learning algorithm
- active learning
- semantic web
- minimal path
- rdf graphs
- keywords
- information extraction
- storage and retrieval
- query optimization
- sql queries
- blood vessels
- cost model