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 Some sources are standalone, lack inter-linkage, and use unpublished schemas with minimal reuse or mappings.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
Computer Science, Artificial Intelligence
Abdullah Almuhaimeed, Mohammed A. Alhomidi, Mohammed N. Alenezi, Emad Alamoud, Saad Alqahtani
Summary: With the widespread of data resources on the internet, overlapping between these resources can provide researchers with more information. Extracting and calculating the semantic similarity between these resources is a challenging task due to their varying descriptions. To address this issue, the paper presents a new semantic similarity method that considers different factors to calculate the semantic similarity between different resources. By utilizing node descriptions and relations from multiple ontologies, this method strengthens the similarity relations between resources and discovers new semantic similarities.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Samira Babalou, Alsayed Algergawy, Birgitta Koenig-Ries
Summary: Computing the semantic similarity between pairs of terms is crucial for various shared data applications. One way to determine term similarity is to assess their word similarity using knowledge resources like ontologies or corpora. Information-theoretic approaches have shown promise by computing concept information content from ontologies. Choosing a suitable subsumer, called Consensus Common Subsumer (CCS), among common ancestors of two concepts can impact the quality of term similarity assessment.
DATA & KNOWLEDGE ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
J. J. Herrera-Martin, I Castilla-Rodriguez, E. J. Gonzalez, N. Martin-Dorta
Summary: Building Information Modeling (BIM) has revolutionized the construction industry by providing a platform for integrated design, modeling, asset planning, and collaboration. This article proposes a method for mapping BIM data into specific domain concepts and utilizing Semantic Web tools for data and information exchange. The proposed mapping enhances information and improves data integration in systems managing services or maintaining facilities and building infrastructures.
EGYPTIAN INFORMATICS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Mohamad Yaser Jaradeh, Kuldeep Singh, Markus Stocker, Andreas Both, Soeren Auer
Summary: A large number of knowledge graph (KG) completion approaches have been proposed in the last decade. However, these approaches are disjointed and there is a lack of study on their collective strengths and weaknesses in effective KG completion. In this paper, we extend the Plumber framework to bring together the efforts of the research community on KG completion and create a comprehensive architecture with 40 reusable components. Using these components, Plumber dynamically generates suitable knowledge extraction pipelines and outperforms baselines on three different KGs.
KNOWLEDGE AND INFORMATION SYSTEMS
(2023)
Article
Geography, Physical
Matthieu Viry, Marlene Villanova-Oliver
Summary: The paper introduces a method for obtaining geovisualization from an existing data model through semantic rules, enabling automation of the process. This method allows for describing geovisualization using an RDF specification file and making it directly available for use from a Web browser.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Computer Science, Information Systems
Timotej Knez, Domen Gasperlin, Marko Bajec, Slavko Zitnik
Summary: This paper proposes a transaction manager for ontology-based database manipulation that combines blockchain and Semantic Web technologies. The solution enables tracking of ontological changes and ensures consistency. Evaluation of the solution is done based on cost and time measurements.
Article
Computer Science, Information Systems
Xiulei Liu, Qiang Tong, Xuhong Liu, Zhihui Qin
Summary: Information used in existing ontology matching solutions are typically classified into four categories: lexical information, structural information, semantic information, and external information. This paper summarizes and analyzes approaches for utilizing the same kind of information, revealing that lexical information is mainly analyzed based on text and dictionary similarity, while structural and semantic information are mainly analyzed based on graph structure and reasoner. The paper also discusses methods for aggregating information analysis results and provides insights into future research directions.
Article
Biology
Bart Nijsse, Peter J. Schaap, Jasper J. Koehorst
Summary: The life sciences are a major source of scientific data. Reusing and connecting these data can lead to new concepts and insights. However, the availability of easy-to-adopt implementations that fulfill the needs of data producers is limited. In response, the FAIR Data Station, a lightweight application written in Java, has been developed to support researchers in managing research metadata according to the FAIR principles. It includes modules for generating metadata templates, validating recorded values, and converting metadata into RDF format.
Article
Computer Science, Information Systems
Jakub Flotynski
Summary: This paper presents an approach to creating explorable knowledge-based XR environments with semantic annotations. The approach combines description logics with aspect-oriented programming, allowing for knowledge representation in any domain and transformation of existing environments with minimal user effort. The efficient creation of explorable XR environments and knowledge acquisition from XR are demonstrated through an immersive car showroom example.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Humanities, Multidisciplinary
Timo Homburg, Anja Cramer, Laura Raddatz, Hubert Mara
Summary: Motivated by the increased use of 3D acquisition of objects by cultural heritage institutions, the study investigates ontologies and metadata schemes for the acquisition process, with a focus on defining detailed steps for 3D capturing workflow and elaborating metadata schemes for different techniques. The proposed ontology is well defined on a coarse level for various techniques, while the metadata scheme for 3D scanners at institutions is detailed extensively.
Article
Computer Science, Interdisciplinary Applications
Jakub Flotynski
Summary: The availability of various extended reality (XR) systems provides new opportunities for analyzing users' and objects' behavior, which can be especially useful when based on domain knowledge. However, current methods and tools for building XR focus on 3D modeling and programming rather than domain-oriented analysis. A new visual approach is proposed in this paper, allowing domain experts to comprehend and analyze what happened in an XR environment regarding users' and objects' actions and interactions.
Article
Computer Science, Information Systems
Francisco Abad-Navarro, Catalina Martinez-Costa, Jesualdo Tomas Fernandez-Breis
Summary: The paper discusses human readability in ontology quality assurance and proposes the HURON framework for evaluating the human readability of ontology content. Through applied research on a collection of biomedical ontologies, it was found that while most ontologies meet the expected number of descriptions and names, there is still room for improvement, especially in systematic naming conventions.
Article
Computer Science, Information Systems
Jose L. Martinez-Rodriguez, Ivan Lopez-Arevalo, Ana B. Rios-Alvarado
Summary: This article presents a strategy for extracting information from sentences and representing it using Semantic Web standards. Through experiments, the feasibility and accuracy of the method are demonstrated to be superior to pattern-based methods from the literature.
JOURNAL OF INFORMATION SCIENCE
(2022)
Article
Construction & Building Technology
Lang-Tao Wu, Jia-Rui Lin, Shuo Leng, Jiu-Lin Li, Zhen-Zhong Hu
Summary: This paper proposes a rule-based approach for MEP information extraction and verifies its feasibility and efficiency through experiments.
AUTOMATION IN CONSTRUCTION
(2022)