ML-Schema: Exposing the Semantics of Machine Learning with Schemas and Ontologies.
Gustavo Correa PublioDiego EstevesAgnieszka LawrynowiczPance PanovLarisa N. SoldatovaTommaso SoruJoaquin VanschorenHamid ZafarPublished in: CoRR (2018)
Keyphrases
- semantic mapping
- machine learning
- semantic mappings
- conceptual schema
- schema mappings
- database schema
- owl ontologies
- ontology mapping
- schema matching
- metadata
- databases
- conceptual models
- schema evolution
- data model
- conceptual schemas
- semantic relationships
- schema integration
- knowledge structures
- domain ontology
- knowledge representation
- data sources
- entity relationship
- xml schema
- description logics
- data exchange
- semantic integration
- reverse engineering
- ontological framework
- conceptual modeling
- relational schema
- data integration
- semantic heterogeneity
- heterogeneous data sources
- integrity constraints
- maximum likelihood
- semantically enriched
- ontology languages
- heterogeneous databases
- instance level
- information extraction
- ontology matching
- conceptual graphs
- semantic web
- source schema
- semantic descriptions
- object oriented
- semantic interoperability
- semantically equivalent
- machine processable
- ontological concepts
- database
- reasoning services
- conceptual model
- information integration
- transformation rules
- database systems
- object identity
- semantic information
- semi automatic
- class hierarchies
- domain knowledge
- logic programs
- semantic web technologies