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2. The Helmholtz Knowledge Graph: Driving the Transition Towards a FAIR Data Ecosystem in the Helmholtz Association

Author

Bröder, Jens, Preuß, Gabriel, D’Mello, Fiona, Fathalla, Said, Hofmann, Volker, Sandfeld, Stefan, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Meroño Peñuela, Albert, editor, Corcho, Oscar, editor, Groth, Paul, editor, Simperl, Elena, editor, Tamma, Valentina, editor, Nuzzolese, Andrea Giovanni, editor, Poveda-Villalón, Maria, editor, Sabou, Marta, editor, Presutti, Valentina, editor, Celino, Irene, editor, Revenko, Artem, editor, Raad, Joe, editor, Sartini, Bruno, editor, and Lisena, Pasquale, editor

Published
2025
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3. DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials

Author

Ihsan, Ahmad Zainul, Fathalla, Said, and Sandfeld, Stefan

Subjects
Condensed Matter - Materials Science, Computer Science - Artificial Intelligence
Abstract

Crystalline materials, such as metals and semiconductors, nearly always contain a special defect type called dislocation. This defect decisively determines many important material properties, e.g., strength, fracture toughness, or ductility. Over the past years, significant effort has been put into understanding dislocation behavior across different length scales via experimental characterization techniques and simulations. This paper introduces the dislocation ontology (DISO), which defines the concepts and relationships related to linear defects in crystalline materials. We developed DISO using a top-down approach in which we start defining the most general concepts in the dislocation domain and subsequent specialization of them. DISO is published through a persistent URL following W3C best practices for publishing Linked Data. Two potential use cases for DISO are presented to illustrate its usefulness in the dislocation dynamics domain. The evaluation of the ontology is performed in two directions, evaluating the success of the ontology in modeling a real-world domain and the richness of the ontology.

Published
2024

4. Modeling Dislocation Dynamics Data Using Semantic Web Technologies

Author

Ihsan, Ahmad Zainul, Fathalla, Said, and Sandfeld, Stefan

Subjects
Condensed Matter - Materials Science, Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Research in the field of Materials Science and Engineering focuses on the design, synthesis, properties, and performance of materials. An important class of materials that is widely investigated are crystalline materials, including metals and semiconductors. Crystalline material typically contains a distinct type of defect called "dislocation". This defect significantly affects various material properties, including strength, fracture toughness, and ductility. Researchers have devoted a significant effort in recent years to understanding dislocation behavior through experimental characterization techniques and simulations, e.g., dislocation dynamics simulations. This paper presents how data from dislocation dynamics simulations can be modeled using semantic web technologies through annotating data with ontologies. We extend the already existing Dislocation Ontology by adding missing concepts and aligning it with two other domain-related ontologies (i.e., the Elementary Multi-perspective Material Ontology and the Materials Design Ontology) allowing for representing the dislocation simulation data efficiently. Moreover, we show a real-world use case by representing the discrete dislocation dynamics data as a knowledge graph (DisLocKG) that illustrates the relationship between them. We also developed a SPARQL endpoint that brings extensive flexibility to query DisLocKG.

Published
2023

5. An Upper Ontology for Modern Science Branches and Related Entities

Author

Fathalla, Said, Lange, Christoph, Auer, Sören, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Pesquita, Catia, editor, Jimenez-Ruiz, Ernesto, editor, McCusker, Jamie, editor, Faria, Daniel, editor, Dragoni, Mauro, editor, Dimou, Anastasia, editor, Troncy, Raphael, editor, and Hertling, Sven, editor

Published
2023
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10. Ontology Design for Pharmaceutical Research Outcomes

Author

Say, Zeynep, Fathalla, Said, Vahdati, Sahar, Lehmann, Jens, Auer, Sören, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hall, Mark, editor, Merčun, Tanja, editor, Risse, Thomas, editor, and Duchateau, Fabien, editor

Published
2020
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14. From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment

Author

Ibrahim, Shimaa, Fathalla, Said, Shariat Yazdi, Hamed, Lehmann, Jens, Jabeen, Hajira, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Acosta, Maribel, editor, Cudré-Mauroux, Philippe, editor, Maleshkova, Maria, editor, Pellegrini, Tassilo, editor, Sack, Harald, editor, and Sure-Vetter, York, editor

Published
2019
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15. OECM: A Cross-Lingual Approach for Ontology Enrichment

Author

Ibrahim, Shimaa, Fathalla, Said, Yazdi, Hamed Shariat, Lehmann, Jens, Jabeen, Hajira, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hitzler, Pascal, editor, Kirrane, Sabrina, editor, Hartig, Olaf, editor, de Boer, Victor, editor, Vidal, Maria-Esther, editor, Maleshkova, Maria, editor, Schlobach, Stefan, editor, Hammar, Karl, editor, Lasierra, Nelia, editor, Stadtmüller, Steffen, editor, Hose, Katja, editor, and Verborgh, Ruben, editor

Published
2019
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16. SEO: A Scientific Events Data Model

Author

Fathalla, Said, Vahdati, Sahar, Lange, Christoph, Auer, Sören, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ghidini, Chiara, editor, Hartig, Olaf, editor, Maleshkova, Maria, editor, Svátek, Vojtěch, editor, Cruz, Isabel, editor, Hogan, Aidan, editor, Song, Jie, editor, Lefrançois, Maxime, editor, and Gandon, Fabien, editor

Published
2019
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17. Semantic Representation of Scientific Publications

Author

Vahdati, Sahar, Fathalla, Said, Auer, Sören, Lange, Christoph, Vidal, Maria-Esther, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Doucet, Antoine, editor, Isaac, Antoine, editor, Golub, Koraljka, editor, Aalberg, Trond, editor, and Jatowt, Adam, editor

Published
2019
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18. A Human-Friendly Query Generation Frontend for a Scientific Events Knowledge Graph

Author

Fathalla, Said, Lange, Christoph, Auer, Sören, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Doucet, Antoine, editor, Isaac, Antoine, editor, Golub, Koraljka, editor, Aalberg, Trond, editor, and Jatowt, Adam, editor

Published
2019
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19. EVENTSKG: A 5-Star Dataset of Top-Ranked Events in Eight Computer Science Communities

Author

Fathalla, Said, Lange, Christoph, Auer, Sören, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Hitzler, Pascal, editor, Fernández, Miriam, editor, Janowicz, Krzysztof, editor, Zaveri, Amrapali, editor, Gray, Alasdair J.G., editor, Lopez, Vanessa, editor, Haller, Armin, editor, and Hammar, Karl, editor

Published
2019
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20. EVENTSKG: A Knowledge Graph Representation for Top-Prestigious Computer Science Events Metadata

Author

Fathalla, Said, Lange, Christoph, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Nguyen, Ngoc Thanh, editor, Pimenidis, Elias, editor, Khan, Zaheer, editor, and Trawiński, Bogdan, editor

Published
2018
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21. EVENTS: A Dataset on the History of Top-Prestigious Events in Five Computer Science Communities

Author

Fathalla, Said, Lange, Christoph, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, González-Beltrán, Alejandra, editor, Osborne, Francesco, editor, Peroni, Silvio, editor, and Vahdati, Sahar, editor

Published
2018
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22. Metadata Analysis of Scholarly Events of Computer Science, Physics, Engineering, and Mathematics

Author

Fathalla, Said, Vahdati, Sahar, Auer, Sören, Lange, Christoph, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Méndez, Eva, editor, Crestani, Fabio, editor, Ribeiro, Cristina, editor, David, Gabriel, editor, and Lopes, João Correia, editor

Published
2018
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25. A Bidirectional-Based Spreading Activation Method for Human Diseases Relatedness Detection Using Disease Ontology

Author

Fathalla, Said, Kannot, Yaman, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Nguyen, Ngoc Thanh, editor, Papadopoulos, George A., editor, Jędrzejowicz, Piotr, editor, Trawiński, Bogdan, editor, and Vossen, Gottfried, editor

Published
2017
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26. Analysing Scholarly Communication Metadata of Computer Science Events

Author

Fathalla, Said, Vahdati, Sahar, Lange, Christoph, Auer, Sören, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kamps, Jaap, editor, Tsakonas, Giannis, editor, Manolopoulos, Yannis, editor, Iliadis, Lazaros, editor, and Karydis, Ioannis, editor

Published
2017
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27. Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles

Author

Fathalla, Said, Vahdati, Sahar, Auer, Sören, Lange, Christoph, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kamps, Jaap, editor, Tsakonas, Giannis, editor, Manolopoulos, Yannis, editor, Iliadis, Lazaros, editor, and Karydis, Ioannis, editor

Published
2017
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29. Knowledge Graph Based RDM Solutions

Author

Sack, Harald, primary, Schrade, Torsten, additional, Bruns, Oleksandra, additional, Posthumus, Etienne, additional, Tietz, Tabea, additional, Norouzi, Ebrahim, additional, Waitelonis, Jörg, additional, Fliegl, Heike, additional, Söhn, Linnaea, additional, Tolksdorf, Julia, additional, Jalle Steller, Jonatan, additional, Az´ocar Guzm´an, Abril, additional, Fathalla, Said, additional, Zainul Ihsan, Ahmad, additional, Hofmann, Volker, additional, Sandfeld, Stefan, additional, Fritzen, Felix, additional, Laadhar, Amir, additional, Schimmler, Sonja, additional, and Mutschke, Peter, additional

Published
2023
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43. Domain level ontology design: DISO and MDMC-NEP Prov

Author

Ihsan, Ahmad Zainul, Fathalla, Said, Aversa, Rossella, Jalali, Mehrdad, Panighel, Mirco, Osmenaj, Elda, Hofmann, Volker, and Sandfeld, Stefan

Subjects
ontology design, provenance, dislocation ontology, ontology
Abstract

How can a computer understand the relations of data or objects from the real world? Ontologies are semantic artifacts that capture knowledge about their domain of interest in a machine-understandable form. The main goal of developing ontologies is to formalize concepts and their relations through which humans express meaning and to use them as a communication interface to machines. Thus, ontology development is an important step towards generating linked and FAIR data. Within HMC we support and co-develop domain and application-level ontologies. Here we present two developments: Dislocation Ontology (DISO) and Model and Data-Driven Materials Characterization Provenance (MDMC-PROV). DISO: An important class of materials is crystalline materials, e.g., metals and semiconductors, which nearly always contain defects, the “dislocations”. This type of defect determines many important material properties, e.g., strength and ductility. Over the past years, significant effort has been put into understanding dislocation behavior across different length scales via experimental characterization techniques and simulations. However, there is still a lack of common standards to formally describe and represent disclocations. Thus, in this work we develop the dislocation ontology (DISO), which is a domain ontology that defines the concepts and relationships related to linear defects in crystalline materials. DISO is published1 through a persistent URL following W3C best practices for publishing Linked data. MDMC-Prov: The rapid development of science and technology in everyday large data generation does not match the data understanding. These days, understanding how experiments are performed and results are derived become more complex due to a lack of provenance documentation. Therefore, the provenance must be tracked, described, and managed over the research process. Thus, in this work, we report an application ontology that can capture provenance information in materials science experiments. The ontology is based on the MDMC glossary2, which defines the common terms in the materials science experiments. From each term, we map to PROV-O3. These ensure the validity, reproducibility, and reusability of the data. [1] https://purls.helmholtz-metadaten.de/disos/diso [2] https://jl-mdmc-helmholtz.de [3] https://www.w3.org/TR/2013/NOTE-prov-primer-20130430/, {"references":["DISO Repository : https://github.com/Materials-Data-Science-and-Informatics/dislocation-ontology/","MDMC-NEP Prov Repository : https://github.com/Materials-Data-Science-and-Informatics/MDMC-NEP-top-level-ontology"]}

Published
2022
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48. Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach.

Author

Mohamed, Heba, Fathalla, Said, Lehmann, Jens, and Jabeen, Hajira

Subjects
STATISTICS, OWLS, BIG data, SEMANTIC Web, DISTRIBUTED computing, SCALABILITY
Abstract

Computing dataset statistics is crucial for exploring their structure, however, it becomes challenging for large-scale datasets. This has several key benefits, such as link target identification, vocabulary reuse, quality analysis, big data analytics, and coverage analysis. In this paper, we present the first attempt of developing a distributed approach (OWLStats) for collecting comprehensive statistics over large-scale OWL datasets. OWLStats is a distributed in-memory approach for computing 50 statistical criteria for OWL datasets utilizing Apache Spark. We have successfully integrated OWLStats into the SANSA framework. Experiments results prove that OWLStats is linearly scalable in terms of both node and data scalability. [ABSTRACT FROM AUTHOR]

Published
2023
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