Jorge Martínez-Gil
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View article: Evaluating Small-Scale Code Models for Code Clone Detection
Evaluating Small-Scale Code Models for Code Clone Detection Open
Detecting code clones is relevant to software maintenance and code refactoring. This challenge still presents unresolved cases, mainly when structural similarity does not reflect functional equivalence, though recent code models show promi…
View article: An overview of civic engagement tools for rural communities
An overview of civic engagement tools for rural communities Open
In this research, we explore the role of civic engagement platforms as tools designed to connect various groups in rural areas for collaborative advancement and to support sustainable growth in their communities. We examine these platforms…
View article: Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned
Managing human-AI collaborations within Industry 5.0 scenarios via knowledge graphs: key challenges and lessons learned Open
In this paper, we discuss technologies and approaches based on Knowledge Graphs (KGs) that enable the management of inline human interventions in AI-assisted manufacturing processes in Industry 5.0 under potentially changing conditions in …
View article: Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks
Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks Open
Assessing the degree of similarity of code fragments is crucial for ensuring software quality, but it remains challenging due to the need to capture the deeper semantic aspects of code. Traditional syntactic methods often fail to identify …
View article: An overview of civic engagement tools for rural communities
An overview of civic engagement tools for rural communities Open
In this research, we explore the role of civic engagement platforms as tools designed to connect various groups in rural areas for collaborative advancement and to support sustainable growth in their communities. We examine these platforms…
View article: Improving Source Code Similarity Detection Through GraphCodeBERT and Integration of Additional Features
Improving Source Code Similarity Detection Through GraphCodeBERT and Integration of Additional Features Open
This paper presents a novel approach for source code similarity detection that integrates an additional output feature into the classification process with the goal of improving model performance. Our approach is based on the GraphCodeBERT…
View article: Source Code Clone Detection Using Unsupervised Similarity Measures
Source Code Clone Detection Using Unsupervised Similarity Measures Open
Assessing similarity in source code has gained significant attention in recent years due to its importance in software engineering tasks such as clone detection and code search and recommendation. This work presents a comparative analysis …
View article: Leveraging Semantic Representations via Knowledge Graph Embeddings
Leveraging Semantic Representations via Knowledge Graph Embeddings Open
The representation and exploitation of semantics has been gaining popularity in recent research, as exemplified by the uptake of large language models in the field of Natural Language Processing (NLP) and knowledge graphs (KGs) in the Sema…
View article: Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review Open
The integration of Knowledge Graphs (KGs) in the manufacturing industry can significantly enhance the efficiency and flexibility of production lines and improve product quality. By integrating and contextualizing information about devices,…
View article: Framework to Automatically Determine the Quality of Open Data Catalogs
Framework to Automatically Determine the Quality of Open Data Catalogs Open
Data catalogs play a crucial role in modern data-driven organizations by facilitating the discovery, understanding, and utilization of diverse data assets. However, ensuring their quality and reliability is complex, especially in open and …
View article: Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution Open
Semantic similarity measures are a key component in natural language processing tasks such as document analysis, requirement matching, and user input interpretation. However, the performance of individual measures varies considerably acros…
View article: Simplified geodata models for integrated urban and public transport planning
Simplified geodata models for integrated urban and public transport planning Open
The current division between urban and transport planning is a significant obstacle to achieving sustainable urban development. To transform cities towards sustainability, both fields must adopt shared or at least compatible models of the …
View article: Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense Disambiguation Open
The issue of word sense ambiguity poses a significant challenge in natural language processing due to the scarcity of annotated data to feed machine learning models to face the challenge. Therefore, unsupervised word sense disambiguation m…
View article: Optimizing Readability Using Genetic Algorithms
Optimizing Readability Using Genetic Algorithms Open
This research presents ORUGA, a method that tries to automatically optimize the readability of any text in English. The core idea behind the method is that certain factors affect the readability of a text, some of which are quantifiable (n…
View article: Multi-Cloud Query Optimisation with Accurate and Efficient Quoting
Multi-Cloud Query Optimisation with Accurate and Efficient Quoting Open
Short paper
View article: Sustainable semantic similarity assessment
Sustainable semantic similarity assessment Open
The automatic semantic similarity assessment field has attracted much attention due to its impact on multiple areas of study. In addition, it is also relevant that recent advances in neural computation have taken the solutions to a higher …
View article: Matching Large Biomedical Ontologies Using Symbolic Regression Using Symbolic Regression
Matching Large Biomedical Ontologies Using Symbolic Regression Using Symbolic Regression Open
The problem of ontology matching consists of finding the semantic correspondences between two ontologies that, although belonging to the same domain, have been developed separately. Ontology matching methods are of great importance today s…
View article: A review on data replication strategies in cloud systems
A review on data replication strategies in cloud systems Open
Data replication constitutes an important issue in Cloud data management.In this context, a significant number of replication strategies have been proposed for Cloud systems.Most of the studies in the literature have classified these strat…
View article: Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers
Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers Open
In the industrial domain, developing solutions that allow the identification, understanding, and correction of faults is essential due to the cost of handling such situations. However, to date, there are not many solutions capable of facil…
View article: A review on data replication strategies in cloud systems
A review on data replication strategies in cloud systems Open
International audience
View article: A Survey on Legal Question Answering Systems
A Survey on Legal Question Answering Systems Open
Many legal professionals think that the explosion of information about local, regional, national, and international legislation makes their practice more costly, time-consuming, and even error-prone. The two main reasons for this are that …