Auflistung nach Autor:in "Izzo, Stefano"

Gerade angezeigt 1 - 2 von 2

Automating the transformation of DMN decision tables into the SPARQL CONSTRUCT query form
(Hochschule für Wirtschaft FHNW, 2016) Izzo, Stefano; Hinkelmann, Knut; Laurenzi, Emanuele
This master thesis tries to define a bridge which links decisions expressed in DMN 1.1 and rules written in SPARQL queries. Indeed, DMN 1.1 is a human-understandable standard, specified by the Object Management Group, which allows users to specify decisions. Essential for DMN are decision tables. Decision tables are easy to fill in and understand; indeed, elements of decision tables are expressed in a very simple way. On the other hand, ontologies exist, which hold all the data and concepts. SPARQL queries are machine-understandable and are defined by a strict syntax, which is in contrast with the decision tables representation. The execution of SPARQL queries can create an inference, which allows a reasoning able to bring new insights starting from a pre-existent information base. This study implements a solution for the transformation of decision tables in SPARQL queries, through an in-depth analysis of the semantics of both sides. The development of an artefact is implied, which automates the transformation from decision tables to SPARQL queries, ready to be executed over ontologies.
11 - Studentische Arbeit
Towards an agile and ontology-aided modeling environment for DSML adaptation
(2018) Laurenzi, Emanuele; Hinkelmann, Knut; Izzo, Stefano; Reimer, Ulrich; van der Merwe, Alta
The advent of digitalization exposes enterprises to an ongoing transformation with the challenge to quickly capture relevant aspects of changes. This brings the demand to create or adapt domain-specific modeling languages (DSMLs) efficiently and in a timely manner, which, on the contrary, is a complex and time-consuming engineering task. This is not just due to the required high expertise in both knowledge engineering and targeted domain. It is also due to the sequential approach that still characterizes the accommodation of new requirements in modeling language engineering. In this paper we present a DSML adaptation approach where agility is fostered by merging engineering phases in a single modeling environment. This is supported by ontology concepts, which are tightly coupled with DSML constructs. Hence, a modeling environment is being developed that enables a modeling language to be adapted on-the-fly. An initial set of operators is presented for the rapid and efficient adaptation of both syntax and semantics of modeling languages. The approach allows modeling languages to be quickly released for usage.
04B - Beitrag Konferenzschrift