María Teresa Gómez-López

dblp:44/1706 · DBLP profile ↗
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10ranked-venue papers in the field
4as first author
3since 2021 · last 2023
0000-0002-3562-875XORCID · verified

Domains — venue-derived; a paper can count in several

Database Systems & Data Management · 6 (3 first)Knowledge Engineering, Semantic Web & Information Systems · 2 (1 first)Data Mining & Knowledge Discovery · 1Business Process & Enterprise Data · 1
YearPublicationVenuePosition
2023 Revealing the Importance of Setting Parameters in Declarative Discovery Algorithms: An Evolutionary-Based Methodology
Vanessa Pradas Fernández, Angel Jesus Varela-Vaca, María Teresa Gómez-López
CAiSE3
2023 Editorial: recent advances in process analytics
Paolo Ceravolo, Claudio Di Ciccio, Chiara Di Francescomarino, María Teresa Gómez-López, Fabrizio Maria Maggi, Renuka Sindhgatta
J. Intell. Inf. Syst.4
2021 Empowering conformance checking using Big Data through horizontal decomposition
Álvaro Valencia-Parra, Angel Jesus Varela-Vaca, María Teresa Gómez-López, Josep Carmona 0001, Robin Bergenthum
Inf. Syst.3
2020 Verifying the manipulation of data objects according to business process and data models
José Miguel Pérez-Álvarez, María Teresa Gómez-López, Rik Eshuis, Marco Montali, Rafael M. Gasca
Knowl. Inf. Syst.2
2015 Compliance validation and diagnosis of business data constraints in business processes at runtime
María Teresa Gómez-López, Rafael M. Gasca, José Miguel Pérez-Álvarez
Inf. Syst.1
2014 Decision-Making Support for the Correctness of Input Data at Runtime in Business Processes
abstract
In a business process, the information that flows between the activities can be introduced by those users who interact with the process. This introduced information could be incorrect due to a lack of knowledge or a mistake. For this reason and to make the business process execution consistent, we propose a Decision Support System (DSS) to inform the user about the possible and correct values that the input data can take. The DSS takes into account the business process model and the policy of the company. The policy concerning the input data and dataflow that the company manages can be represented by constraints (called Business Data Constraints (BDCs)). In order to ascertain all the possible values of the input data that permit the execution of the process following the defined goals, the DSS analyzes the business process model and the BDC, using the constraint programming paradigm.
María Teresa Gómez-López, Rafael M. Gasca, José Miguel Pérez-Álvarez
Int. J. Cooperative Inf. Syst.1
2013 Diagnosing correctness of semantic workflow models
Diana Borrego, Rik Eshuis, María Teresa Gómez-López, Rafael M. Gasca
Data Knowl. Eng.3
2009 Developing a labelled object-relational constraint database architecture for the projection operator
María Teresa Gómez-López, Rafael Ceballos, Rafael M. Gasca, Carmelo Del Valle
Data Knowl. Eng.1
2005 Querying a Polynomial Object-Relational Constraint Database in Model-Based Diagnosis
María Teresa Gómez-López, Rafael M. Gasca, Carmelo Del Valle, Fernando de la Rosa 0001
DEXA1
2005 Analysis and Visualization of the DX Community with Information Extracted from the Web
Fernando de la Rosa 0001, María Teresa Gómez-López, Rafael M. Gasca
DEXA2