| 1. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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A First Step Towards a Tool for Extending Ontologies
- 2021
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Ingår i: Proceedings of the Sixth International Workshop on the Visualization and Interaction for Ontologies and Linked Data. - : CEUR Workshop proceedings. ; , s. 1-12
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Konferensbidrag (refereegranskat)abstract
- Ontologies have been proposed as a means towards making data FAIR (Findable, Accessible, Interoperable, Reusable). This has attracted much interest in several communities and ontologies are being developed. However, to obtain good results when using ontologies in semantically-enabled applications, the ontologies need to be of high quality. One of the quality aspects is that the ontologies should be as complete as possible. In this paper we propose a first version of a tool that supports users in extending ontologies using a phrase-based approach. To demonstrate the usefulness of our proposed tool, we exemplify the use by extending the Materials Design Ontology.
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| 2. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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A First Step towards Extending the Materials Design Ontology
- 2021
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Ingår i: <em>Workshop on Domain Ontologies for Research Data Management in Industry Commons of Materials and Manufacturing - DORIC-MM 2021</em>. ; , s. 1-11
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Konferensbidrag (refereegranskat)abstract
- Ontologies have been proposed as a means towards making data FAIR (Findable, Accessible, Interoperable, Reusable) and has recently attracted much interest in the materials science community. Ontologies for this domain are being developed and one such effort is the Materials Design Ontology. However, to obtain good results when using ontologies in semantically-enabled applications, the ontologies need to be of high quality. One of the quality aspects is that the ontologies should be as complete as possible. In this paper we show preliminary results regarding extending the Materials Design Ontology using a phrase-based topic model.
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| 3. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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PBF-AMP-Onto: an ontology for powder bed fusion additive manufacturing processes
- 2024
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Ingår i: Proceedings of the First International Workshop on Semantic Materials Science: Harnessing the Power of Semantic Web Technologies in Materials Science. - Aachen, Germany : CEUR Workshop Proceedings. ; , s. 2-14
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Konferensbidrag (refereegranskat)abstract
- Additive manufacturing is an innovative production approach aimed at creating products that traditionaltechniques cannot produce with the desired quality and requirements. Throughout the additive manufacturing process, data is either used (such as materials properties, printer characteristics and settings)or generated (such as monitoring data during printing, slicing strategies setting parameters). However, managing such data with complex relationships remains a significant challenge in both research andindustry in the additive manufacturing field. To address this issue, we developed a modular ontology that can be used as the basis for a framework that supports decision-making systems, facilitate semantics-aware data management, and enhance the understanding and optimization of additive manufacturingprocesses. In this paper we focus on one of the state-of-the-art additive manufacturing approaches, i.e., powder bed fusion. To show the use and the feasibility of our approach, we created a knowledge graph for an actual additive manufacturing experiment based on our ontology, and show how queries relevant to domain experts can be answered using this knowledge graph.
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| 4. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Phrase2Onto: A Tool to Support Ontology Extension
- 2023
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Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 225, s. 1415-1424, s. 1415-1424
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Tidskriftsartikel (refereegranskat)abstract
- Due to importance of data FAIRness (Findable, Accessible, Interoperable, Reusable), ontologies as a means to make data FAIR have attracted more and more attention in different communities and are being used in semantically-enabled applications. However, to obtain good results while using ontologies in these applications, high quality ontologies are needed of which completeness is one of the important aspects. An ontology lacking information can lead to missing results. In this paper we present a tool, Phrase2Onto, that supports users in extending ontologies to make the ontologies more complete. It is particularly suited for ontology extension using a phrase-based topic model approach, but the tool can support any extension approach where a user needs to make decisions regarding the appropriateness of using phrases to define new concepts. We describe the functionality of the tool and a user study using Pizza Ontology. The user study showed a good usability of the system and high task completion. Further, we report on a real application where we extend the Materials Design Ontology.
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| 5. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2021
- 2021
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Ingår i: Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual conference, October 25, 2021. - : CEUR-WS.org. ; , s. 62-108, s. 62-108
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Konferensbidrag (refereegranskat)abstract
- The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus).The OAEI 2021 campaign offered 13 tracks and was attended by 21 participants.This paper is an overall presentation of that campaign.
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| 6. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2022
- 2022
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Ingår i: CEUR Workshop Proceedings. - : CEUR-WS. ; , s. 84-128, s. 84-128
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Konferensbidrag (refereegranskat)abstract
- The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities. The OAEI 2022 campaign offered 14 tracks and was attended by 18 participants. This paper is an overall presentation of that campaign. © 2022 Copyright for this paper by its authors.
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| 7. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Results of the Ontology Alignment Evaluation Initiative 2023
- 2023
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Ingår i: Proceedings of the 18th International Workshop on Ontology Matching co-located with the 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, November 7, 2023.. - : CEUR Workshop Proceedings. ; , s. 97-139
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Konferensbidrag (refereegranskat)
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| 8. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Results of theOntology Alignment Evaluation Initiative 2020
- 2020
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Ingår i: Proceedings of the 15th International Workshop on Ontology Matching. - Aachen, Germany : CEUR Workshop proceedings. ; , s. 92-138
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Konferensbidrag (refereegranskat)abstract
- The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus).The OAEI 2020 campaign offered 12 tracks with 36 test cases, and was attended by 19 participants. This paper is an overall presentation of that campaign.
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| 9. |
- Blomqvist, Eva, 1977-, et al.
(författare)
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Cross-domain Modelling - A Network of Core Ontologies for the Circular Economy
- 2023
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Ingår i: Proceedings of the 14th Workshop on Ontology Design and Patterns (WOP 2023). - Aachen, Germany : CEUR Workshop Proceedings.
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Konferensbidrag (refereegranskat)abstract
- Circular Economy (CE) aims to reduce value loss and avoid waste by extending the life of products,components, and materials. Circular value networks (CVN), i.e. networks of actors realising partsof the CE, are often complex and involving a multitude of actors, such as suppliers, manufacturers,recyclers, and end-users, from different industry sectors. In addition, the networks enable and managevarious flows of resources, energy, information and value. To set up and operate such networks, datasharing is essential, however, one of the main challenges is semantic interoperability, and as a resultdata are difficult to understand, integrate, and use. Ontologies support semantic interoperability, andcan represent domain knowledge and enable stakeholders to communicate. However, the knowledgedomains involved are many, including sustainability, materials, products, manufacturing, and logistics,where well-established ontologies already exist. In addition, these domains need to be connected torelevant industry sectors. In order to bridge these domains we propose a set of core ontology modules,allowing to express links between existing ontologies as well as filling gaps related to core CE concepts.
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| 10. |
- Lambrix, Patrick, Professor, 1965-, et al.
(författare)
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The materials design ontology
- 2024
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Ingår i: Semantic Web. - : IOS Press. - 1570-0844 .- 2210-4968. ; 15:2, s. 481-515
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Tidskriftsartikel (refereegranskat)abstract
- In the materials design domain, much of the data from materials calculations is stored in different heterogeneous databases with different data and access models. Therefore, accessing and integrating data from different sources is challenging. As ontology-based access and integration alleviates these issues, in this paper we address data access and interoperability for computational materials databases by developing the Materials Design Ontology. This ontology is inspired by and guided by the OPTIMADE effort that aims to make materials databases interoperable and includes many of the data providers in computational materials science. In this paper, first, we describe the development and the content of the Materials Design Ontology. Then, we use a topic model-based approach to propose additional candidate concepts for the ontology. Finally, we show the use of the Materials Design Ontology by a proof-of-concept implementation of a data access and integration system for materials databases based on the ontology.
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