Now showing items 1-10 of 11
Managing Change in Graph-structured Data Using Description Logics
In this paper, we consider the setting of graph-structured data (GSD) that evolves as a result of operations carried out by users or applications. We study different reasoning problems, which range from deciding whether a ...
The onprom Toolchain for Extracting Business Process Logs using Ontology-based Data Access
Process mining techniques require the input data to be explicitly structured in the form of an event log. Unfortunately, in many real world settings, such event logs are not explicitly given, but they are implicitly stored ...
Ontop: Answering SPARQL queries over relational databases
We present Ontop, an open-source Ontology-Based Data Access (OBDA) system that allows for querying relational data sources through a conceptual representation of the domain of interest, provided in terms of an ontology, ...
Cost-Driven Ontology-Based Data Access
SPARQL query answering in ontology-based data access (OBDA) is carried out by translating into SQL queries over the data source. Standard translation techniques try to transform the user query into a union of conjunctive ...
Semantic DMN: Formalizing Decision Models with Domain Knowledge
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 ...
Ontology-Based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology
Process mining aims at discovering, monitoring, and improving business processes by extracting knowledge from event logs. In this respect, process mining can be applied only if there are proper event logs that are compatible ...
Ontology-Based Data Access and Integration
OBDA for Log Extraction in Process Mining
Process mining is an emerging area that synergically combines model-based and data-oriented analysis techniques to obtain useful insights on how business processes are executed within an organization. Through process mining, ...
Formalizing MongoDB Queries
In this paper, we report on our ongoing work in which we formalize MongoDB, a widely adopted document database system managing complex (tree structured) values represented in a JSON-based data model, equipped with a powerful ...
Semantic DMN: Formalizing Decision Models with Domain Knowledge (Extended Abstract)
(CEUR Electronic Workshop Proceedings, 2017)