Semantic DMN: Formalizing Decision Models with Domain Knowledge

@inproceedings{Calvanese2017SemanticDF,
  title={Semantic DMN: Formalizing Decision Models with Domain Knowledge},
  author={Diego Calvanese and Marlon Dumas and Fabrizio Maria Maggi and Marco Montali},
  booktitle={RuleML+RR},
  year={2017}
}
The Decision Model and Notation (DMN) is a recent OMG standard for the elicitation and representation of decision models. DMN builds on the notion of decision table, which consists of columns representing the inputs and outputs of a decision, and rows denoting rules. DMN models work under the assumption of complete information, and do not support integration with background domain knowledge. In this paper, we overcome these issues, by proposing decision knowledge bases (DKBs), where decisions… 

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References

SHOWING 1-10 OF 16 REFERENCES

Semantics and Analysis of DMN Decision Tables

A formal semantics for DMN tables, a formal definition of key analysis tasks and scalable algorithms to tackle two such tasks, i.e., detection of overlapping rules and of missing rules are provided.

Introducing Datatypes in DL-Lite

This work establishes a theoretical framework for datatypes in the OBDA scenario, based on three major components: a DL, a class of datatype hierarchies, and a query language, and establishes the computational complexity of query answering for various significant instantiations of this framework, as ranging from FOL-rewritable to coNP in data complexity.

The Description Logic Handbook

This introduction presents the main motivations for the development of Description Logics (DLs) as a formalism for representing knowledge, as well as some important basic notions underlying all

Extracting Decision Logic from Process Models

A semi-automatic approach to identify decision logic in process models, to derive a corresponding DMN model and to adapt the original process model by replacing the decision logic accordingly, and to allow final configurations of this result during post-processing.

Ontology Reasoning in the SHOQ(D) Description Logic

SHOQ(D) is an expressive description logic equipped with named individuals and concrete datatypes which has almost exactly the same expressive power as the latest web ontology languages (e.g., OIL and DAML).

The Description Logic Handbook: Theory, Implementation, and Applications

This new edition of The Description Logic Handbook provides a thorough account of the subject, covering all aspects of research in this field, namely: theory, implementation, and applications.

The Description Logic ALCNHR+ Extended with Concrete Domains: A Practically Motivated Approach

The description logic ALCNHR+(D)- is introduced and it is shown that the results can be exploited for building practical description logic systems for solving e.g. configuration problems.

OWL 2 Web Ontology Language: structural specification and functional-style syntax

The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data

DL-Lite with Attributes and Datatypes

This work presents complexity results for two most important reasoning problems in DL-Lite: combined complexity of knowledge base satisfiability and data complexity of positive existential query answering.