Mining Rules with Constants from Large Scale Knowledge Bases
Rules or constraints can be used to clean a knowledge base, or find new facts which should have been...
Concepts in Quality Assessment for Machine Learning – From Test Data to Arguments
There have been active efforts to use machine learning (ML) techniques for the development of smart systems, e.g., driving...
Inductive Discovery by Machine Learning for Identification of Structural Models
Automatic extraction of structural models interferes with the deductive research method in information systems research. Nonetheless it is tempting...
Towards an Ontology of Software Defects, Errors and Failures
The rational management of software defects is a fundamental requirement for a mature software industry. Standards, guides and capability...
TemporalEMF: A Temporal Metamodeling Framework
Existing modeling tools provide direct access to the most current version of a model but very limited support to...
A Semantic Framework for Designing Temporal SQL Databases
Many real world applications need to capture a mix of temporal and non-temporal entities, relationships and attributes. These concepts...
Nested Schema Mappings for Integrating JSON
JSON has become one of the most popular data formats. Yet studies on JSON data integration (DI) are scarce....
Multi-level Conceptual Modeling: From a Formal Theory to a Well-Founded Language
Subject domains are often conceptualized with entities stratified into a rigid two-level structure: a level of classes and a...
Conceptual Modeling of Legal Relations
Legal relations abound in conceptual modeling. Despite that, the representation of these relations in the area has not yet...
Increasing the Semantic Transparency of the KAOS Goal Model Concrete Syntax
Stakeholders without formal training in requirements modelling languages, such as KAOS, struggle to understand requirements specifications. The lack of...
