Titlebook: Research Challenges in Information Science; 18th International C João Araújo,Jose Luis de la Vara,Saïd Assar Conference proceedings 2024 Th

苦恼

Novelty-Driven Evolutionary Scriptless Testingrammar to design the . and an Evolutionary Algorithm (.) with Novelty Search (.) to direct the evolution process. Preliminary testing shows that the .s do evolve in the standard . process. Further research is needed to show the benefits of the additional . for the testing process.

THROB

IPMD: Intentional Process Model Discovery from Event Logs execution. This combination aims to identify recurrent sequences of actions revealing the strategies (recurring patterns of activities), that users commonly apply to fulfill their intentions. These patterns are used to construct an intentional process model that follows the MAP formalism based on strategy discovery.

Pudendal-Nerve

Control and Monitoring of Software Robots: What Can Academia and Industry Learn from Each Other?how academic theories can improve industrial RPA practices and vice versa. By analyzing both academic literature and leading RPA platforms, we present four recommendations for academia, four for industry, and a general recommendation aiming to advance the collaboration between them.

Brain-Waves

Identifying Relevant Data in RDF SourcesOur approach relies on a semi-supervised learning algorithm that iteratively identifies instance patterns in the data source that represent candidate instances for the target schema. We present some preliminary experiments showing the effectiveness of our approach.

和平

Transfer Learning for Potato Leaf Disease Detectionfarming practices. Potato is one of the world‘s primary staple foods, ranking as the fourth most consumed globally. Detecting potato leaf diseases in their early stages poses a challenge due to the diversity among crop species, variations in symptoms of crop diseases, and the influence of environmen

浪费时间

Knowledge Graph Multilevel Abstraction: A Property Graph Reification Based Approachversity of applications. Conventional integration approaches have difficulties in meeting the flexibility required by new needs, mainly because they rely on rigid schema. Graph-based approaches, such as knowledge graphs, are promising, as they allow to use different graph models such as RDF or prope

讥讽

ExpO: Towards Explaining Ontology-Driven Conceptual Modelsof elements, including concepts, relations and sub-diagrams, their reuse or adaptation requires significant efforts. While conceptual model engineers tend to be biased against the removal of information from the models, general users struggle to fully understand them. The paper describes ExpO—a prot

ANT

Translucent Precision: Exploiting Enabling Information to Evaluate the Quality of Process Modelsodel using an event log. Part of the investigated quality dimensions is .. Precision puts the behavior of a log and a model in relation. There are event logs that also store information about . activities besides the actual executed activities. These event logs are called .. A technique for measurin

HATCH

混杂人

Forensic-Ready Analysis Suite: A Tool Support for Forensic-Ready Software Systems Designtential evidence with sufficient coverage and quality to improve the odds of successful investigation or admissibility. However, the design of such software systems is challenging without in-depth forensic readiness expertise. Thus, this paper presents a tool suite to help the designer. It includes