Quoc Viet Hung Nguyen

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.

As the volumes of sensor data being accumulated are likely to soar, data compression has become essential in a wide range of sensor-data applications. This has led to a plethora of data compression techniques for sensor data, in particular model-based appr ...

Database schema matching is the process of establishing correspondences between attributes of schemas for data integration purpose. Though various commercial tools have been developed, their results are inherently uncertain. In practice, to obtain correct ...

As the volumes of AI problems involving human knowledge are likely to soar, crowdsourcing has become essential in a wide range of world-wide-web applications. One of the biggest challenges of crowdsourcing is aggregating the answers collected from crowd wo ...

Social platforms became a major source of rumours. While rumours can have severe real-world implications, their detection is notoriously hard: Content on social platforms is short and lacks semantics; it spreads quickly through a dynamically evolving netwo ...

The amount of controversial issues being discussed on the Web has been growing dramatically. In articles, blogs, and wikis, people express their points of view in the form of arguments, i.e., claims that are supported by evidence. Discovery of arguments ha ...

Diversification is a method of improving user satisfaction by increasing the variety of information shown to user. Due to the lack of a precise definition of information variety, many diversification techniques have been proposed. These techniques, however ...

Recommender-systems has been a significant research direction in both literature and practice. The core of recommender systems are the recommendation mechanisms, which suggest to a user a selected set of items supposed to match user true intent, based on e ...

We present Deep MinCut (DMC), an unsupervised approach to learn node embeddings for graph -structured data. It derives node representations based on their membership in communities. As such, the embeddings directly provide insights into the graph structure ...

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

Given a schema and a set of concepts, representative of entities in the domain of discourse, schema cover deﬁnes correspondences between concepts and parts of the schema. Schema cover aims at interpreting the schema in terms of concepts and thus, vastly si ...

As the number of schema repositories grows rapidly and several web-based platforms exist to support publishing schemas, \emph{schema reuse} becomes a new trend. Schema reuse is a methodology that allows users to create new schemas by copying and adapting e ...

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 ...

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 ...

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. ...

Schema matching supports data integration by establishing correspondences between the attributes of independently designed database schemas. In recent years, various tools for automatic pair-wise matching of schemas have been developed. Since the matching ...

Queries to detect isomorphic subgraphs are important in graph-based data management. While the problem of subgraph isomorphism search has received considerable attention for the static setting of a single query, or a batch thereof, existing approaches do n ...

As the volumes of shared datasets are likely to soar, there is high demand of establishing the interlinking between these public datasets. To achieve this, we need to match their schemas altogether. Moreover, to extract useful pieces of information, ones m ...

Quoc Viet Hung Nguyen

Chattez avec Graph Search

An Evaluation of Model-Based Approaches to Sensor Data Compression

An MAS Negotiation Support Tool for Schema Matching

BATC - A Benchmark for Aggregation Techniques in Crowdsourcing

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms

Argument discovery via crowdsourcing

An Evaluation of Diversification Techniques

Diversifying Group Recommendation

Deep MinCut: Learning Node Embeddings by Detecting Communities

Collaborative Schema Matching Reconciliation

Completeness and Ambiguity of Schema Cover

Privacy-Preserving Schema Reuse

Preface-Special Issue on Misinformation on the Web

Network Alignment With Holistic Embeddings

Network Alignment with Holistic Embeddings (Extended Abstract)

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

SMART: A tool for analyzing and reconciling schema matching networks

Fast and Accurate Efficient Streaming Subgraph Isomorphism

On Leveraging Crowdsourcing Techniques for Schema Matching Networks

Reconciling Schema Matching Networks