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Université de Fribourg

OpenCrowd : A Human-AI Collaborative Approach for Finding Social Influencers via Open-Ended Answers Aggregation

Arous, Ines ; Yang, Jie ; Khayati, Mourad ; Cudré-Mauroux, Philippe

In: WWW '20: Proceedings of The Web Conference 2020, 2020, vol. April, p. 1851-1862

Finding social influencers is a fundamental task in many online applications ranging from brand marketing to opinion mining. Existing methods heavily rely on the availability of expert labels, whose collection is usually a laborious process even for domain experts. Using open-ended questions, crowdsourcing provides a cost-effective way to find a large number of social influencers in a short...

Université de Fribourg

SectionLinks : Mapping Orphan Wikidata Entities onto Wikipedia Sections

Ostapuk, Natalia ; Difallah, Djellel Eddine ; Cudré-Mauroux, Philippe

In: Proceedings of the 1st Wikidata Workshop (Wikidata 2020) co-located with 19th International Semantic Web Conference (ISWC 2020), Virtual Conference, November 2-6, 2020, 2020, vol. 2773, p. 1-15

Wikidata is a key resource for the provisioning of structured data on several Wikimedia projects, including Wikipedia. By design, all Wikipedia articles are linked to Wikidata entities; such mappings represent a substantial source of both semantic and structural information. However, only a small subgraph of Wikidata is mapped in that way – – only about 10% of the sitelinks are linked to...

Université de Fribourg

Location Prediction over Sparse User Mobility Traces Using RNNs : Flashback in Hidden States!

Yang, Dingqi ; Fankhauser, Benjamin ; Rosso, Paolo ; Cudré-Mauroux, Philippe

In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020, p. 2184-2190

Location prediction is a key problem in human mobility modeling, which predicts a user's next location based on historical user mobility traces. As a sequential prediction problem by nature, it has been recently studied using Recurrent Neural Networks (RNNs). Due to the sparsity of user mobility traces, existing techniques strive to improve RNNs by considering spatiotemporal contexts. The...

Université de Fribourg

It Takes Two : Instrumenting the Interaction between In-Memory Databases and Solid-State Drives

Lerner, Alberto ; Kwak, Jaewook ; Lee, Sangjin ; Park, Kibin ; Song, Yong Ho ; Cudré-Mauroux, Philippe

In: CIDR 2020, 10th Conference on Innovative Data Systems Research, Amsterdam, The Netherlands, January 12-15, 2020, Online Proceedings, 2020, p. 1-8

In-memory databases rely on non-volatile storage devices for services such as durability and recovery. SSDs can provide the high-performance these services require. When performance problems occur, however, SSDs offer no mechanism to help analyze them. The only alternative is to instrument the database side of the problem and conjecture about what might be the cause of performance...

Université de Fribourg

Scalable Recovery of Missing Blocks in Time Series With High and Low Cross-correlations

Khayati, Mourad ; Cudré-Mauroux, Philippe ; Boehlen, Michael

In: Knowledge and Information Systems, 2020, vol. 62, p. 2257-2280

Missing values are very common in real-world data including time-series data. Failures in power, communication or storage can leave occasional blocks of data missing in multiple series, affecting not only real-time monitoring but also compromising the quality of data analysis. Traditional recovery (imputation) techniques often leverage the correlation across time series to recover missing...

Université de Fribourg

Networking and Storage : The Next Computing Elements in Exascale Systems?

Lerner, Alberto ; Hussein, Rana ; Ryser, André ; Lee, Sangjin ; Cudré-Mauroux, Philippe

In: IEEE Data Engineering Bulletin, 2020, vol. 43, no. 1, p. 60-71

Many large computer clusters offer alternative computing elements in addition to general-purpose CPUs. GPU and FPGAs are very common choices. Two emerging technologies can further widen the options in that context: in-network computing (INC) and near-storage processing (NSP). These technologies support computing over data that is in transit between nodes or inside the storage stack,...

Université de Fribourg

Challenging the Stateless Quo of Programmable Switches

Gebara, Nadeen ; Lerner, Alberto ; Yang, Mingran ; Yu, Minlan ; Costa, Paolo ; Ghobadi, Manya

In: HotNets '20: Proceedings of the 19th ACM Workshop on Hot Topics in Networks, 2020, p. 153-159

Programmable switches based on the Protocol Independent Switch Architecture (PISA) have greatly enhanced the flexibility of today's networks by allowing new packet protocols to be deployed without any hardware changes. They have also been instrumental in enabling a new computing paradigm in which parts of an application's logic run within the network core (in-network computing). The...

Université de Fribourg

Wiki2Prop : A Multimodal Approach for Predicting Wikidata Properties from Wikipedia

Luggen, Michael ; Audiffren, Julien ; Difallah, Djellel Eddine ; Cudré-Mauroux, Philippe

In: The Web Conference 2021, Ljubljana, Slovenia, April 12-23, 2021, 2021, p. 1-10

Wikidata is rapidly emerging as a key resource for a multitude of online tasks such as Speech Recognition, Entity Linking, Question Answering, or Semantic Search. The value of Wikidata is directly linked to the rich information associated with each entity – that is, the properties describing each entity as well as the relationships to other entities. Despite the tremendous manual and...

Université de Fribourg

RETA : A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs

Rosso, Paolo ; Yang, Dingqi ; Ostapuk, Natalia ; Cudré-Mauroux, Philippe

In: The Web Conference 2021, Ljubljana, Slovenia, April 12-23, 2021, 2021, p. 1-12

Knowledge Graph (KG) completion has been widely studied to tackle the incompleteness issue (i.e., missing facts) in modern KGs. A fact in a KG is represented as a triplet (ℎ, 𝑟, 𝑡 ) linking two entities ℎ and 𝑡 via a relation 𝑟 . Existing work mostly consider link prediction to solve this problem, i.e., given two elements of a triplet predicting the missing one, such as (ℎ,...

Université de Fribourg

Peer Grading the Peer Reviews : A Dual-Role Approach for Lightening the Scholarly Paper Review Process

Arous, Ines ; Yang, Jie ; Khayati, Mourad ; Cudré-Mauroux, Philippe

In: The Web Conference 2021, Ljubljana, Slovenia, April 12-23, 2021, 2021, p. 1-12

Scientific peer review is pivotal to maintain quality standards for academic publication. The effectiveness of the reviewing process is currently being challenged by the rapid increase of paper submissions in various conferences. Those venues need to recruit a large number of reviewers of different levels of expertise and background. The submitted reviews often do not meet the conformity...