Results 41 to 50 of about 821,533 (281)

Complex Ontology Matching Based on Path Feature [PDF]

Jisuanji gongcheng, 2017
The complex ontology matching methods are mainly classified into correspondence pattern based methods and machine learning based ones.The former are heuristic ones that are designed with some knowledge about the ontologies to be aligned and the latter ...
WANG Hanbo,SUN Qilin
doaj   +1 more source

Schema and ontology matching with COMA++

Proceedings of the 2005 ACM SIGMOD international conference on Management of data, 2005
We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems.
David Aumueller, Hong Hai Do, Sabine Massmann, Erhard Rahm   +3 more
openaire   +4 more sources

Accurate Identification of Ontology Alignments at Different Granularity Levels

IEEE Access, 2017
As more and more ontologies are defined with different terms, ontology matching plays a crucial role in addressing the semantic heterogeneity problem in many different disciplines.
Xiaocao Hu, Zhiyong Feng, Shizhan Chen, Keman Huang, Jianqiang Li, Mengchu Zhou   +5 more
doaj   +1 more source

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   +1 more source

MaF: An Ontology Matching Framework

J. Univers. Comput. Sci., 2012
In this work, we present our experience when developing the Matching Framework (MaF), a framework for matching ontologies that allows users to configure their own ontology matching algorithms and it allows developers to perform research on new complex algorithms.
Martinez-Gil, Jorge, Navas-Delgado, Ismael, Aldana Montes, Jose F.   +2 more
openaire   +3 more sources

Efficient Ontology Meta-Matching Based on Interpolation Model Assisted Evolutionary Algorithm

Mathematics, 2022
Ontology is the kernel technique of the Semantic Web (SW), which models the domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, the cutting-edge technology is to determine the heterogeneous entity ...
Xingsi Xue, Qi Wu, Miao Ye, Jianhui Lv
doaj   +1 more source

Resolution of Conflicts Among Ontology Mappings: a Fuzzy Approach [PDF]

, 2008
Interoperability is a strong requirement in open distributed systems and in the Semantic Web.The need for ontology integration is not always completely met by the available ontology matching techniques because, in most cases, the semantics of the ...
Stoilos, G, Tzouvaras, V, Ferrara, A, G. Stamou, Stamou, G, D. Lorusso, G. Stoilos, Venetis, T, Lorusso, D, V. Tzouvaras, T. Venetis, A. Ferrara   +11 more
core   +2 more sources

Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics

FEBS Letters, EarlyView.
Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt, Ana‐Maria Sandru, Georg Vucak, Sebastian Didusch, Biljana Riemelmoser, Karin Ehrenreiter, Markus Hartl, Lukas A. Huber, Manuela Baccarini   +8 more
wiley   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

CroMatcher 2.0: A Comprehensive Analysis of the Improved Ontology Matching System

IEEE Access
One of the main challenges in ontology matching is to match ontologies with high accuracy. Therefore, ontology matching systems typically use multiple basic matchers, each targeting a specific ontology component for the matching process.
Marko Gulic, Boris Vrdoljak, Marina Pticek   +2 more
doaj   +1 more source