Article
Multidisciplinary Sciences
Maulik R. Kamdar, Mark A. Musen
Summary: Despite the efforts to create Life Sciences Linked Open Data (LSLOD) cloud, there are still semantic heterogeneity issues across biomedical linked open data sources. Some sources are standalone, lack inter-linkage, and use unpublished schemas with minimal reuse or mappings. The LSLOD schema graph analysis in this research provides assistance to researchers querying and integrating data from multiple biomedical sources simultaneously on the Web.
Article
Green & Sustainable Science & Technology
Na Luo, Marco Pritoni, Tianzhen Hong
Summary: Building data is becoming increasingly important for decision makers to improve building performance, but practical analysis and use of the collected data are limited due to various reasons. There is a need for a toolchain to curate and represent building information and performance data in common standardized terminologies and schemas to enable interoperability between tools and applications.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Multidisciplinary Sciences
Shawn Zheng Kai Tan, Huseyin Kir, Brian D. Aevermann, Tom Gillespie, Nomi Harris, Michael J. Hawrylycz, Nikolas L. Jorstad, Ed S. Lein, Nicolas Matentzoglu, Jeremy A. Miller, Tyler S. Mollenkopf, Christopher J. Mungall, Patrick L. Ray, Raymond E. A. Sanchez, Brian Staats, Jim Vermillion, Ambika Yadav, Yun Zhang, Richard H. Scheuermann, David Osumi-Sutherland
Summary: Large-scale single-cell 'omics profiling is being used to define a complete catalogue of brain cell types. However, organizing this catalogue and linking cell types to supporting data has been a problem. This study presents a schema that solves these issues and applies it to build a data-linked extension to the Cell Ontology representing cell types in the Primary Motor Cortex of humans, mice, and marmosets.
Article
Mathematical & Computational Biology
Nicolas Matentzoglu, Damien Goutte-Gattat, Shawn Zheng Kai Tan, James P. Balhoff, Seth Carbon, Anita R. Caron, William D. Duncan, Joe E. Flack, Melissa Haendel, Nomi L. Harris, William R. Hogan, Charles Tapley Hoyt, Rebecca C. Jackson, HyeongSik Kim, Huseyin Kir, Martin Larralde, Julie A. McMurry, James A. Overton, Bjoern Peters, Clare Pilgrim, Ray Stefancsik, Sofia M. C. Robb, Sabrina Toro, Nicole A. Vasilevsky, Ramona Walls, Christopher J. Mungall, David Osumi-Sutherland
Summary: This article discusses the complex workflows involved in managing the ontology life cycle and the diverse set of tools required for this process. Standardizing release practices and quality standards are crucial in the biomedical domain to enable interoperability. The article also provides an overview of the Ontology Development Kit (ODK) and its practical applications.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
(2022)
Article
Construction & Building Technology
Kris McGlinn, Rob Brennan, Christophe Debruyne, Alan Meehan, Lorraine McNerney, Eamonn Clinton, Philip Kelly, Declan O'Sullivan
Summary: BIM is crucial for integrating building data within the building life cycle, supporting various use cases related to automation, energy efficiency, and sustainability. Open building data faces challenges in standardization, data interdependency, access, security, and intellectual property protection. In Ireland, OSi maintains a large dataset called Prime2, including building GIS data and building specific data, supporting the development of a national geospatial identifier infrastructure based on an OSi building ontology.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Ignacio Huitzil, Miguel Molina-Solana, Juan Gomez-Romero, Fernando Bobillo
Summary: This paper introduces a minimalistic reasoning algorithm for imprecise instance retrieval in fuzzy ontologies, specifically applied to querying Building Information Models (BIMs) in the construction industry. Through empirical evaluation, the algorithm is shown to efficiently solve expressive query tasks.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Interdisciplinary Applications
Justine Flore Tchouanguem Djuedja, Fonbeyin Henry Abanda, Bernard Kamsu-Foguem, Pieter Pauwels, Camille Magniont, Mohamed Hedi Karray
Summary: This study proposes an approach that can provide environmental data for buildings, relying on Semantic Web technologies and BIM technology, with a focus on enhancing information exchange for sustainable building assessment.
ADVANCES IN ENGINEERING SOFTWARE
(2021)
Article
Chemistry, Multidisciplinary
Nicola Capuano, Pasquale Foggia, Luca Greco, Pierluigi Ritrovato
Summary: This study proposes a linked data approach based on multilayer networks and semantic Web standards to integrate and harmonize multiple biomedical datasets with different schemas and semi-structured data, addressing the challenge of heterogeneous data formats.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Alda Canito, Armando Nobre, Jose Neves, Juan Corchado, Goreti Marreiros
Summary: In this paper, an architecture consisting of two tools, J2OIM and TICO, is presented for time-constrained ontology evolution. J2OIM uses JSON objects to populate an ontology, while TICO analyzes instances in real-time and identifies potential changes for evolutionary processes. The case-study focuses on predictive maintenance scenario, showing the effectiveness of the tools in instance mapping and ontology evolution.
INTEGRATED COMPUTER-AIDED ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Halima Alachram, Hryhorii Chereda, Tim Beissbarth, Edgar Wingender, Philip Stegmaier
Summary: Biomedical and life science literature plays an important role in publishing experimental results, and the rapid growth of new publications has led to an increase in scientific knowledge represented in free text. Developing techniques to extract this knowledge using word2vec approach has shown to be effective in aiding scientists in discovering new relationships between biological entities. The study generated word vector representations based on a large corpus of PubMed abstracts, and demonstrated the utility of word2vec embeddings in biomedical analysis through validation experiments. By creating gene-gene networks and using them to train Graph-Convolutional Neural Networks, the study showed that word2vec-embedding-derived networks performed well in tasks such as predicting metastatic events in breast cancer, validating the usefulness of the generated word embeddings in constructing biological networks.
Article
Computer Science, Information Systems
Akeem Pedro, Sangeun Baik, Junhyeon Jo, Doyeop Lee, Rahat Hussain, Chansik Park
Summary: This paper proposes a linked data and ontology-based system framework for effectively sharing and accessing educational safety contents from heterogeneous sources in a standardized way. Experimental results confirm that the proposed approach outperforms existing repositories in terms of search time, search result precision, and accuracy.
Article
Construction & Building Technology
Anna Wagner, Wendelin Sprenger, Christoph Maurer, Tilmann E. Kuhn, Uwe Rueppel
Summary: This article discusses the application of Building Information Modelling (BIM) in the Architecture, Engineering and Construction domain, highlighting the issues with digital product model distribution. It proposes a concept that combines flexible and modular product descriptions with Semantic Web technologies and Linked Data to enhance searchability of product data and applicability of distributed data. The feasibility of this concept is demonstrated through the application to innovative and multi-functional example products, showing flexibility, modularity and overall suitability for digital product descriptions.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Robert Pujan, Heinz A. Preisig
Summary: This paper presents a systematic modelling approach for simulating flow and pressure distribution in dynamic plants. It introduces a python-based software tool for designing and simulating custom models for tanks with extensive piping. The method uses a topology-based abstraction of the plant and algebraic equations from an ontology to assess the plant's behavior.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Construction & Building Technology
Raquel Matos, Fernanda Rodrigues, Hugo Rodrigues, Anibal Costa
Summary: Assessing building performance and prioritizing maintenance using BIM can help extend materials' service life and contribute to a sustainable built environment.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Qiu Ji, Weizhuo Li, Shiqi Zhou, Guilin Qi, Yuanfang Li
Summary: Ontologies, as the core building blocks of the Semantic Web, provide shared vocabularies and conceptual knowledge for specific application fields. However, logical conflicts often arise in actual application scenarios due to disjointness or negation in the ontologies. Incoherence and inconsistency are two types of logical conflicts. Handling incoherence is important as it can lead to inconsistency and affect the correctness of semantic reasoning. Various incoherent ontologies are essential for evaluating methods to handle incoherence.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Information Systems
Laure De Cock, Kristien Ooms, Nico Van de Weghe, Nina Vanhaeren, Pieter Pauwels, Philippe De Maeyer
Summary: The study found that users rated decision points related to changing levels, starting or ending routes, and taking turns differently in terms of complexity, with ratings influenced by both user characteristics and decision point functions. This information can be used to design an adaptive wayfinding system that adjusts route instructions based on perceived decision point complexity, better meeting user needs compared to solely theoretical complexity-based adaptations.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Computer Science, Interdisciplinary Applications
Justine Flore Tchouanguem Djuedja, Fonbeyin Henry Abanda, Bernard Kamsu-Foguem, Pieter Pauwels, Camille Magniont, Mohamed Hedi Karray
Summary: This study proposes an approach that can provide environmental data for buildings, relying on Semantic Web technologies and BIM technology, with a focus on enhancing information exchange for sustainable building assessment.
ADVANCES IN ENGINEERING SOFTWARE
(2021)
Editorial Material
Computer Science, Artificial Intelligence
Philipp Geyer, Christian Koch, Pieter Pauwels
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Construction & Building Technology
Shushan Hu, Jiale Wang, Cathal Hoare, Yehong Li, Pieter Pauwels, James O'Donnell
Summary: This paper introduces a method to infer implicit knowledge using the semantic web technology for building energy performance assessment. The approach can reduce burdensome intervention from building managers and improve energy efficiency.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Aiyu Zhu, Pieter Pauwels, Bauke De Vries
Summary: The paper introduces a component-oriented robot construction approach for robots to work collaboratively in prefabricated construction using smart construction objects (SCOs). Multiple different robots were successfully implemented in a prototype BIM simulation environment to assemble a steel frame based on the SCOs. Next steps involve introducing more complex BIM models and accurate robot models for a wider range of collaborative simulation in prefabricated construction processes.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Mikki Seidenschnur, Ali Kucukavci, Esben Visby Fjerbaek, Kevin Michael Smith, Pieter Pauwels, Christian Anker Hviid
Summary: This article introduces a cloud-based Common Data Environment (CDE) called Virtual Commissioning (VC) for HVAC system commissioning in the architecture, engineering, and construction industry. The microservice architecture of the CDE is proven to be capable of running Modelica simulations. The robustness of the system architecture is tested using example models.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Xiang Xie, Jorge Merino, Nicola Moretti, Pieter Pauwels, Janet Yoon Chang, Ajith Parlikad
Summary: The emerging concept of digital twins allows for intelligent buildings. This paper presents a digital twin-based approach using symbolic artificial intelligence to automatically identify informative sensory dimensions for building-specific faults and develop a digital twin data platform. A machine-readable fault tag system is implemented to annotate real-time data and produce filtered low-latency data streams for dynamic asset management.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Automation & Control Systems
Aiyu Zhu, Tianhong Dai, Gangyan Xu, Pieter Pauwels, Bauke de Vries, Meng Fang
Summary: This paper proposes a Deep Reinforcement Learning (DRL) based method for automated assembly planning in robot-based prefabricated construction. A re-configurable simulator is developed based on a Building Information Model (BIM) and an open game engine, which supports training and testing of various optimization methods. The assembly planning problem is modeled as a Markov Decision Process (MDP) and a set of DRL algorithms are developed and trained using the simulator. Experimental case studies validate the performance of the proposed methods and provide benchmarks for future research in automated construction.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Pieter Pauwels, Rens de Koning, Bob Hendrikx, Elena Torta
Summary: Increasing reliance on automation and robotization can improve the management of construction sites and existing buildings. Robots rely on laser scanners and rarely use building information models (BIM) due to their unreliability, unavailability, and mismatch with robot localization algorithms. However, as BIM models become more reliable and available in standard formats, they can be used for localization and navigation, particularly in existing buildings. This article explores the use of BIM data for robot navigation, demonstrating the possibility and outlining future work for improving building data models and recognition of building features in 3D point clouds.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Construction & Building Technology
Aiyu Zhu, Pieter Pauwels, Bauke De Vries
Summary: Despite the widespread usage of BIM-based simulation in construction industry, robot construction simulation environments are limited by specific modeling tools and robot models. To address this, we propose a new framework that integrates open standard formats and tools to achieve a commonly used robot simulation environment.
AUTOMATION IN CONSTRUCTION
(2023)
Proceedings Paper
Behavioral Sciences
Louise Deprez, Ruben Verstraeten, Pieter Pauwels
Summary: Most generative design applications in architecture rely on rule-based approaches, which collect rules from expert knowledge and experience. However, in other domains, the use of machine learning and neural networks has proven to be more effective in replacing these hard-coded rules or enhancing applications. This paper explores the application of neural networks to solve the space allocation problem in residential floor plans, reviewing existing architectures from different areas and testing them with a dataset of floor plans.
DESIGN COMPUTING AND COGNITION'22
(2023)
Proceedings Paper
Automation & Control Systems
R. W. M. Hendrikx, P. Pauwels, E. Torta, H. P. J. Bruyninckx, M. J. G. van de Molengraft
Summary: This paper proposes a method to integrate BIM's rich semantic data-set with robot world models for indoor semantic localization. By converting semantic entities in BIM models to robot-specific world model representations and storing in a spatial database, robots can query semantic objects in their surroundings. Using a graph-based approach for robot localization, the method allows a robot equipped with 2D LiDAR and odometry to track its pose in a large indoor environment where a BIM model is available.
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021)
(2021)
Article
Computer Science, Artificial Intelligence
Federica Cena, Armin Haller, Maxime Lefrancois