Classification Scheme 1: Applications

(The convention <organization>-<submission#>.<usecase#> is used for those
submissions that include multiple use cases.)

Note that CG-1.4: Fuzzy Brain Anatomy is the same as IVML-NTUA-1



Academia (Education/Research)
	FZI-1 Ontology Mapping with OWL and Rules

	SB-2 Frame-based representation, Inheritance of defaults, Reification


Business
	FZI-2 Enterprise Information Integration

	HP-1 Message transformation
	HP-2 Conditional message transformation
	HP-3 Data integration and query transformation

	ILOG-1 Import of Business Rules Defined by a Business Partner into ILOG JRules

	NRC-1 Information integration with rules and taxonomies

	REWERSE-1.1 Negotiation I: Automated trust establishment for eCommerce

	RuleML-1: e-Commerce Fraud Detection


Entertainment
	DERI-1 Internet search: combining query language, rule languages and scoped negation


Medicine
	CG-1.1: A Web rule extension compatible with OWL DL
	CG-1.3: Safe integration of OWL DL with rules with clear semantics
	CG-1.4 / IVML-NTUA-1 Fuzzy Reasoning with Brain Anatomical Structures
	CG-1.5: a language combining ontology and rules for semantic integration of heterogeneous information
	CG-1.6 Interoperating between ontology and rules
	CG-1.7 Combining ontologies and rules
	CG-1.8: Reasoning with rules for building and validating ontologies

	REWERSE-1.2 Negotiation II: Automated trust establishment for accessing medical records

	SB-1 Scoped negation, Encapsulation


Other
	CG-1.2 limitations of a “mapping” approach

	HP-4 Constraint expression
	HP-5 Definition/implementation of RDFS, SKOS and similar semantics

	MITRE-1 Spectrum Policy Deployment  In The World of Cognitive Radios


Personal Information Management
	NRC-2 FOAF rules

	REWERSE-1.5 Rule-based email manipulation


Travel
	FUB-1 Managing incomplete information

	REWERSE-1.3 Rule-based personalisation: Organising a vacation with friends
	REWERSE-1.4 Rule-Based Intelligent Guiding
	REWERSE-1.6 Rule-based reactive organiser