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Université de Fribourg

Past Trends and Future Prospects in Conceptual Modeling : A Bibliometric Analysis

Härer, Felix ; Fill, Hans-Georg

In: International Conference on Conceptual Modeling 2020, 2020, p. 1-14

Research in conceptual modeling is today undertaken in a large number of felds. We describe the results from a bibliometric analysis of major outlets for conceptual modeling research for investigating the evolution of research topics. As a basis for the study we used the openly accessible DBLP dataset which we enriched with data from related publisher's websites and databases. Besides a...

Université de Fribourg

Ontology-driven Enterprise Modeling : A Plugin for the Protégé Platform

Reitemeyer, Benedikt ; Fill, Hans-Georg

In: Lecture Notes in Business Information Processing, 2019, vol. 352, p. 212-226

The use of ontologies for enterprise modeling has been discussed from different perspectives in the past. In the paper at hand we describe design options for creating enterprise models by using an ontology as a shared domain conceptualization connected through ontology-driven conceptual modeling. The enterprise models thus act as representations of ontology instances. As a major bene t, a...

Université de Fribourg

A Neighborhood for Complex Job Shop Scheduling Problems with Regular Objectives

Bürgy, Reinhard

In: Journal of Scheduling, 2017, vol. 20, p. 391-422

Due to the limited applicability in practice of the classical job shop scheduling problem, many researchers have addressed more complex versions of this problem by including additional process features, such as time lags, setup times, and buffer limitations, and have pursued objectives that are more practically relevant than the makespan, such as total flow time and total weighted tardiness....

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...