A Graph Model for Taxi Ride Sharing Supported by Graph Databases
The emergence of more complex, data-intensive applications motivates a high demand of effective data modeling for graph databases to...
Comprehensive Process Drift Detection with Visual Analytics
Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business...
A Probabilistic Approach to Event-Case Correlation for Process Mining
Process mining aims to understand the actual behavior and performance of business processes from event logs recorded by IT...
Keyword Search Algorithm over Large RDF Datasets
Keyword search tools have been used to query RDF data. They can be labeled as schema-based when the RDF...
DCR-KiPN a Hybrid Modeling Approach for Knowledge-Intensive Processes
Hybrid modeling approaches have been proposed to represent processes that have both strictly regulated parts and loosely regulated parts....
Representing the Filter Bubble: Towards a Model to Diversification in News
Filtering techniques like recommender systems are commonly employed to help people selecting items that best fit their conceptual needs....
Exploring the Modeling of Declarative Processes Using a Hybrid Approach
Process modeling aims at providing an external representation of a business process in the shape of a process model....
The OntoOO-Method: An Ontology-Driven Conceptual Modeling Approach for Evolving the OO-Method
A conceptual model compiler could be the next step in software engineering terms to achieve conceptual programming. In other...
Negation in Relational Keyword Search
Keyword search in relational databases frees users from writing complicated SQL queries. However, negation is still not allowed in...
Stochastic Models to Improve E-News Recommender Systems
Several recommender systems have been proposed in the literature. Some of them address the problem of recommending news to...
