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Song Yuan, Zexin Lu, Qiyuan Li and Jinguang Gu
Due to inter-modal effects hidden in multi-modalities and the impact of weak modalities on multi-modal entity alignment, a Multi-modal Entity Alignment Method with Inter-modal Enhancement (MEAIE) is proposed. This method introduces a unique modality call...
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Cunxiang Xie, Limin Zhang and Zhaogen Zhong
In practical application, there are different knowledge graphs in different fields, such as financial graph, commodity graph, medical graph, and so on. Entity alignment technique can be applied to the fusion of multiple knowledge graphs in different doma...
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Huansha Wang, Qinrang Liu, Ruiyang Huang and Jianpeng Zhang
Multi-modal entity alignment refers to identifying equivalent entities between two different multi-modal knowledge graphs that consist of multi-modal information such as structural triples and descriptive images. Most previous multi-modal entity alignmen...
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André Melo, Btissam Er-Rahmadi and Jeff Z. Pan
Aligning points of interest (POIs) from heterogeneous geographical data sources is an important task that helps extend map data with information from different datasets. This task poses several challenges, including differences in type hierarchies, label...
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Meng Wu, Tingting Jiang, Chenyang Bu and Bin Zhu
Entity alignment (EA) aims to automatically determine whether an entity pair in different knowledge bases or knowledge graphs refer to the same entity in reality. Inspired by human cognitive mechanisms, we propose a coarse-to-fine entity alignment model ...
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Renaud Fabre, Otmane Azeroual, Patrice Bellot, Joachim Schöpfel and Daniel Egret
The variety and diversity of published content are currently expanding in all fields of scholarly communication. Yet, scientific knowledge graphs (SKG) provide only poor images of the varied directions of alternative scientific choices, and in particular...
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Kai Sun, Yunqiang Zhu and Jia Song
Geographic knowledge bases (GKBs) with multiple sources and forms are of obvious heterogeneity, which hinders the integration of geographic knowledge. Entity alignment provides an effective way to find correspondences of entities by measuring the multidi...
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Sotirios Karampatakis, Charalampos Bratsas, Ondrej Zamazal, Panagiotis Marios Filippidis and Ioannis Antoniou
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Dieudonnee Cobben,Nadine Roijakkers
Pág. 01 - 25
Within the innovation ecosystem literature, scholars have considered governance mechanisms as an important instrument for focal entities to mitigate the risks of opportunistic behaviour. Scholars have not focused yet on how these mechanisms work. In the ...
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Mari Patterson
AbstractPurpose: Information Technology (IT) is developing at an accelerated rate, making it virtually impossible to separate business and IT strategies. Consequently, the IT strategy of an entity must be integrated with its overall business strategy in ...
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Manuel Domínguez-Dorado, Francisco J. Rodríguez-Pérez, Javier Carmona-Murillo, David Cortés-Polo and Jesús Calle-Cancho
Public sector organizations are facing an escalating challenge with the increasing volume and complexity of cyberattacks, which disrupt essential public services and jeopardize citizen data and privacy. Effective cybersecurity management has become an ur...
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Jifang Wu, Jianghua Lv, Haoming Guo and Shilong Ma
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability. Representation learning techniques have been introduced to the field of ...
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