Results 81 to 90 of about 80,509 (303)

On Ontology Alignment Experiments.

Webology, 2006
Ontology Alignment is a process for finding related entities of different ontologies. This paper discusses the results of our research in this area. One of them is a formulation for a new structural measure which extends famous related works. In this measure with a special attention to the transitive properties, it is tried to increase recall with less
Abolhassani, Hassan, Haeri, Seyed Hossein, Hariri, Babak Bagheri   +2 more
openaire   +2 more sources

An Investigation of Definability in Ontology Alignment [PDF]

, 2016
The ability to rewrite defined ontological entities into syntactically different, but semantically equivalent forms is an important property of Definability. While rewriting has been extensively studied, the practical applicability of currently existing methods is limited, as they are bounded to particular Description Logics DLs, and they often present
David Geleta, Terry R. Payne, Valentina Tamma   +2 more
openaire   +1 more source

The Information-Flow Approach to Ontology-Based Semantic Integration

, 2010
In this article we argue for the lack of formal foundations for ontology-based semantic alignment. We analyse and formalise the basic notions of semantic matching and alignment and we situate them in the context of ontology-based alignment in open-ended ...
Kalfoglou, Yannis, Schorlemmer, Marco
core  

Results of the Ontology Alignment Evaluation Initiative 2021

, 2022
62108The 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.
Jimenez-Ruiz, E., Michel, F., Roussey, C., Zamaza, O., Karam, N., Paulheim, H., Li, Y., Faria, D., Hertling, S., Fundulaki, I., Pesquita, C., Amini, R., Harrow, I., Splendiani, A., Vatascinova, J., Amardeilh, F., Yaman, B., Nasr, E., Pour, M.A.N., Portisch, J., Saveta, T., Fallatah, O., Laadhar, A., Huschka, M., Zhou, L., Shvaiko, P., Trojahn, C., Ibanescu, L., Algergawy, A., Lambrix, P., Li, H., Hitzler, P.   +31 more
core  

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

POAF: Portable Ontology Aligned Fragments

, 2008
In today's semantic web, ontology fragmentation and modularization are considered as important tasks due to the size and complexity of prime ontologies.
Kalfoglou, Yannis, Dave Braines, Nigel Shadbolt, Yannis Kalfoglou, Braines, Dave, Paul Smart, Smart, Paul R, Shadbolt, Nigel   +7 more
core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Graph-based discovery of ontology change patterns [PDF]

, 2011
Ontologies can support a variety of purposes, ranging from capturing conceptual knowledge to the organisation of digital content and information. However, information systems are always subject to change and ontology change management can pose challenges.
Abgaz, Yalemisew, Abgaz, Yalemisew Mintsnote, Pahl, Claus, Javed, Muhammad   +3 more
core  

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Semantically-Enabled Sensor Plug & Play for the Sensor Web

Sensors, 2011
Environmental sensors have continuously improved by becoming smaller, cheaper, and more intelligent over the past years. As consequence of these technological advancements, sensors are increasingly deployed to monitor our environment.
Daniel Nüst, Krzysztof Janowicz, Patrick Maué, Arne Bröring, Christian Malewski   +4 more
doaj   +1 more source