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  1. Chapter

    Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review

    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 contextualiz...

    Jorge Martinez-Gil, Thomas Hoch, Mario Pichler in Artificial Intelligence in Manufacturing (2024)

  2. No Access

    Chapter and Conference Paper

    Source Code Clone Detection Using Unsupervised Similarity Measures

    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 pr...

    Jorge Martinez-Gil in Software Quality as a Foundation for Security (2024)

  3. Chapter

    Leveraging Semantic Representations via Knowledge Graph Embeddings

    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 know...

    Franz Krause, Kabul Kurniawan, Elmar Kiesling in Artificial Intelligence in Manufacturing (2024)

  4. Chapter

    Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0

    AI has gained significant traction in manufacturing, offering tremendous potential for enhancing production efficiency, cost reduction, and safety improvements. Consequently, develo** AI-based software platf...

    Thomas Hoch, Jorge Martinez-Gil, Mario Pichler in Artificial Intelligence in Manufacturing (2024)

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    Article

    Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain

    In recent times, the use of knowledge graphs has been massively adopted so that many of these graphs can even be found publicly on the Web. This makes that solutions for solving interoperability problems among...

    Jorge Martinez-Gil, Riad Mokadem, Franck Morvan in Progress in Artificial Intelligence (2022)

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    Chapter and Conference Paper

    KI-Net: AI-Based Optimization in Industrial Manufacturing—A Project Overview

    Artificial intelligence (AI) is a crucial technology of industrial digitalization. Especially in the production industry, a great potential is present in optimizing existing processes, e.g., concerning resourc...

    Bernhard Freudenthaler, Jorge Martinez-Gil in Computer Aided Systems Theory – EUROCAST 2… (2022)

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    Chapter and Conference Paper

    Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems

    Technical standards help software architects to identify relevant requirements and to facilitate system certification, i.e., to systematically assess whether a system meets critical requirements in fields like...

    Jose Illescas, Georg Buchgeher in Computer Aided Systems Theory – EUROCAST 2… (2022)

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    Chapter and Conference Paper

    Optimising Manufacturing Process with Bayesian Structure Learning and Knowledge Graphs

    In manufacturing industry, product failure is costly, as it results in financial and time losses. Understanding the causes of product failure is critical for reducing the occurrence of failure and optimising t...

    Tek Raj Chhetri, Sareh Aghaei, Anna Fensel in Computer Aided Systems Theory – EUROCAST 2… (2022)

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    Book and Conference Proceedings

    Database and Expert Systems Applications - DEXA 2022 Workshops

    33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings

    Prof. Dr. Gabriele Kotsis, A Min Tjoa in Communications in Computer and Information Science (2022)

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    Chapter

    Knowledge Graph Augmentation for Increased Question Answering Accuracy

    This research work presents a new augmentation model for knowledge graphs (KGs) that increases the accuracy of knowledge graph question answering (KGQA) systems. In the current situation, large KGs can represe...

    Jorge Martinez-Gil, Shaoyi Yin, Josef Küng in Transactions on Large-Scale Data- and Know… (2022)

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    Chapter and Conference Paper

    Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends

    This study presents our ongoing research on designing new methods for changepoint detection in industrial environments using a CUSUM method variant. The changepoint detection refers to identifying the location...

    Salma Mahmoud, Jorge Martinez-Gil in Database and Expert Systems Applications -… (2021)

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    Chapter and Conference Paper

    A Novel Neurofuzzy Approach for Semantic Similarity Measurement

    The problem of identifying the degree of semantic similarity between two textual statements automatically has grown in importance in recent times. Its impact on various computer-related domains and recent brea...

    Jorge Martinez-Gil, Riad Mokadem, Josef Küng in Big Data Analytics and Knowledge Discovery (2021)

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    Article

    A Novel Approach for Learning How to Automatically Match Job Offers and Candidate Profiles

    Automatic matching of job offers and job candidates is a major problem for a number of organizations and job applicants that if it were successfully addressed could have a positive impact in many countries aro...

    Jorge Martinez-Gil, Alejandra Lorena Paoletti in Information Systems Frontiers (2020)

  14. Chapter and Conference Paper

    General Model for Tracking Manufacturing Products Using Graph Databases

    One of the major problems in the manufacturing industry consists of the fact that, when manufacturing a product, many parts from different lots are supplied and mixed to a certain degree during an indeterminat...

    Jorge Martinez-Gil, Reinhard Stumptner in Data-Driven Process Discovery and Analysis (2020)

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    Chapter and Conference Paper

    Framework for Data Analysis in the Context of the Smart Villages

    In recent times, the digitalization of urban areas has got considerable attention from the public. As a side effect, there has also been great interest in the digitalization of the rural world or the so-calle...

    Jorge Martinez-Gil, Mario Pichler in Electronic Government and the Information … (2020)

  16. No Access

    Article

    Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest

    Semantic similarity measurement aims to automatically compute the degree of similarity between two textual expressions that use different representations for naming the same concepts. However, very short textu...

    Jorge Martinez-Gil in Journal of Intelligent Information Systems (2019)

  17. No Access

    Article

    An Efficient Design for a Multi-objective Evolutionary Algorithm to Generate DNA Libraries Suitable for Computation

    The design of reliable DNA libraries that can be used for bio-molecular computing involves several heterogeneous conflicting design criteria that traditional optimization approaches do not fit properly. As it ...

    José M. Chaves-González, Jorge Martínez-Gil in Interdisciplinary Sciences: Computational … (2019)

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    Chapter and Conference Paper

    Framework for Assessing the Smartness Maturity Level of Villages

    In this work, we have developed the first version of a smartness assessment framework that allows the representatives from a village to make a self-evaluation of its current status based on smartness criteria ...

    Jorge Martinez-Gil, Mario Pichler in New Trends in Databases and Information Sy… (2019)

  19. No Access

    Chapter and Conference Paper

    Multiple Choice Question Answering in the Legal Domain Using Reinforced Co-occurrence

    Nowadays, the volume of legal information available is continuously growing. As a res...

    Jorge Martinez-Gil, Bernhard Freudenthaler in Database and Expert Systems Applications (2019)

  20. No Access

    Chapter and Conference Paper

    Design and Implementation of a Graph-Based Solution for Tracking Manufacturing Products

    One of the major problems in the manufacturing industry consists of the fact that many parts from different lots are supplied and mixed to a certain degree during an indeterminate number of stages, what makes ...

    Jorge Martinez-Gil, Reinhard Stumpner in New Trends in Databases and Information Sy… (2019)

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