Concept

Web Ontology Language

Publications associées (77)

Stochastic fragments: A framework for the exact reduction of the stochastic semantics of rule-based models

In this paper, we propose an abstract interpretation-based framework for reducing the state space of stochastic semantics for protein protein interaction networks. Our approach consists in quotienting the state space of networks. Yet interestingly, we do n ...

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

A mereotopological product relationship description approach for assembly oriented design

Aristeidis Matsokis

This paper describes a novel approach for integrated assembly modelling and planning. The main objective is to make assembly information accessible and exploitable by data management systems and computer-aided X tools in order to support product architects ...

2012

Cultural System or norm circles? An exchange

This article takes the form of a debate between the two authors on the social ontology of propositional culture. Archer applies the morphogenetic approach, analysing culture as a cycle of interaction between the Cultural System and Socio-Cultural Interacti ...

2012

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Karl Aberer, Alexey Boyarsky, Oleg Ruchayskiy, Philippe Cudré-Mauroux, Roman Prokofyev

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

Springer2012

Semantic Sensor Data Search in a Large-Scale Federated Sensor Network

Karl Aberer, Jean Paul Calbimonte Perez, Ho Young Jeung

Sensor network deployments are a primary source of massive amounts of data about the real world that surrounds us, measuring a wide range of physical properties in real time. However, in large-scale deployments it becomes hard to eectively exploit the data ...

CEUR-WS2011

Semantic Trajectories

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

An ontology-based approach for Product Lifecycle Management

Aristeidis Matsokis

Ontologies are rapidly becoming popular in various research fields. There is a tendency both in converting existing models into ontologies and in creating new models. In this work we are focusing on Closed-Loop Product Lifecycle Management (PLM) models. An ...

Elsevier2010

Reasoning with large ontologies stored in relational databases: The OntoMinD approach

Stefano Spaccapietra, Christine Parent

A major obstacle to the development of ontologies in support of the Semantic Web is the poor capability of current ontology techniques to handle very large ontologies, in particular regarding scalability of reasoners. This paper builds on the assumption th ...

2010

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search