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Concept

Ontology alignment

Related publications (25)

A semantic model-based systems engineering approach for assessing the operational performance of metal forming process

Dimitrios Kyritsis, Jinzhi Lu

Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...

Pergamon-Elsevier Science Ltd2024

Building a Knowledge Graph of Chinese Kung Fu Masters From Heterogeneous Bilingual Data

Yumeng Hou, Lin Yuan, Lin Yuan

Various endeavours into semantic web technologies and ontology engineering have been made within the organisation of cultural data, facilitating public access to digital assets. Although models for conceptualising objects have reached a certain level of ma ...

2023

Network Alignment With Holistic Embeddings

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong, Thanh Trung Huynh

Network alignment is the task of identifying topologically and semantically similar nodes across (two) different networks. It plays an important role in various applications ranging from social network analysis to bioinformatic network interactions. Howeve ...

IEEE COMPUTER SOC2023

Network Alignment with Holistic Embeddings (Extended Abstract)

Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong, Thanh Trung Huynh

Network alignment is the task of identifying topologically and semantically similar nodes across (two) different networks. However, existing alignment models either cannot handle large-scale graphs or fail to leverage different types of network information ...

IEEE COMPUTER SOC2022

Digital Twin-Enabled Decision Support Services in Industrial Ecosystems

Dimitrios Kyritsis, Jinzhi Lu

The goal of this paper is to further elaborate a new concept for value creation by decision support services in industrial service ecosystems using digital twins and to apply it to an extended case study. The aim of the original model was to design and int ...

MDPI2021

Approaching Ontology Alignment through Representation Learning to Bridge the Semantic Gap in Engineering Applications

Prodromos Kolyvakis

The current information landscape is characterised by a vast amount of relatively semantically homogeneous, when observed in isolation, data silos that are, however, drastically semantically fragmented when considered as a whole. Within each data silo, inf ...

EPFL2020

Joint Learning of Semantic Alignment and Object Landmark Detection

Seungryong Kim

Convolutional neural networks (CNNs) based approaches for semantic alignment and object landmark detection have improved their performance significantly. Current efforts for the two tasks focus on addressing the lack of massive training data through weakly ...

IEEE2019

Towards semantics-driven modelling and simulation of context-aware manufacturing systems

Damiano Nunzio Arena

Systems modelling and simulation are two important facets for thoroughly and effectively analysing manufacturing processes. The ever-growing complexity of the latter, the increasing amount of knowledge, and the use of Semantic Web techniques adhering meani ...

EPFL2019

Closed-Loop Lifecycle Management of Service and Product in the Internet of Things: Semantic Framework for Knowledge Integration

Dimitrios Kyritsis, Min-Jung Yoo

This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open Messagi ...

Mdpi Ag2016

Towards Seamless Continuation of Knowledge in Product Lifecycle Management

Apostolos Perdikakis

The current ICT for manufacturing landscape is characterized by scattered data formats, tools and processes dedicated to different phases in the product lifecycle. Due to the diversity of tools and data formats, manufacturing struggles to cope with new tre ...

EPFL2015

OpenIoT: Open Source Internet-of-Things in the Cloud

Karl Aberer, Manfred Hauswirth, Jean Paul Calbimonte Perez, Mehdi Riahi

Despite the proliferation of Internet-of-Things (IoT) platforms for building and deploying IoT applications in the cloud, there is still no easy way to integrate heterogeneous geographically and administratively dispersed sensors and IoT services in a sema ...

Springer2015

Pay-as-you-go Reconciliation in Schema Matching Networks

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Zoltán Miklós

Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purposes. Although several automatic schema matching tools have been developed, their results are often incomplete or erroneous. ...

2014

Design of a semantic knowledge base to support the product development process

Paul Xirouchakis, Predrag Spasojevic

New product development today is a knowledge-heavy process, but very often this knowledge is not adequately handled, it’s not made readily available to the actors, or is lost within or between similar projects. Furthermore, different legacy tools and data ...

2014

Reconciling Schema Matching Networks Through Crowdsourcing

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Zoltán Miklós

2014

Minimizing Human Effort in Reconciling Match Networks

Karl Aberer, Quoc Viet Hung Nguyen, Zoltán Miklós, Tri Kurniawan Wijaya

Schema and ontology matching is a process of establishing correspondences between schema attributes and ontology concepts, for the purpose of data integration. Various commercial and academic tools have been developed to support this task. These tools prov ...

2013

Enabling Query Technologies for the Semantic Sensor Web

Karl Aberer, Jean Paul Calbimonte Perez, Ho Young Jeung

Sensor networks are increasingly being deployed in the environment for many different purposes. The observations that they produce are made available with heterogeneous schemas, vocabularies and data formats, making it difficult to share and reuse this dat ...

Igi Publ2012

Computational Neuroscience Ontology: a new tool to provide semantic meaning to your models

Sean Lewis Hill

The diversity of modeling approaches in computational neuroscience makes model sharing, retrieval, reuse and reproducibility difficult and even sometimes impossible. To address this problem, standardized languages have been developed by and for the communi ...

2012

Quality-aware similarity assessment for entity matching in Web data

Karl Aberer, Zoltán Miklós, Surender Reddy Yerva

One of the key challenges to realize automated processing of the information on the Web, which is the central goal of the Semantic Web, is related to the entity matching problem. There are a number of tools that reliably recognize named entities, such as p ...

Wiley-Blackwell2012

Semantic Trajectories : Computing and Understanding Mobility Data

Zhixian Yan

Thanks to the rapid development of mobile sensing technologies (like GPS, GSM, RFID, accelerometer, gyroscope, sound and other sensors in smartphones), the large-scale capture of evolving positioning data (called mobility data or trajectories) generated by ...

EPFL2011

Comparing machines and humans on a visual categorization test

François Fleuret, Charles Dubout

Automated scene interpretation has benefited from advances in machine learning, and restricted tasks, such as face detection, have been solved with sufficient accuracy for restricted settings. However, the performance of machines in providing rich semantic ...

National Academy of Sciences2011