Rule-Based Application Development using Webdamlog

We present the WebdamLog system for managing distributed data on the Web in a peer-to-peer manner. We demonstrate the main features of the system through an application called Wepic for sharing pictures between attendees of the sigmod conference. Using Wepic, the attendees will be able to share, download, rate and annotate pictures in a highly decentralized manner. We show how WebdamLog handles heterogeneity of the devices and services used to share data in such a Web setting. We exhibit the simple rules that define the Wepic application and show how to easily modify the Wepic application.Comment: SIGMOD - Special Interest Group on Management Of Data (2013

Introducing Access Control in Webdamlog

We survey recent work on the specification of an access control mechanism in a collaborative environment. The work is presented in the context of the WebdamLog language, an extension of datalog to a distributed context. We discuss a fine-grained access control mechanism for intentional data based on provenance as well as a control mechanism for delegation, i.e., for deploying rules at remote peers.Comment: Proceedings of the 14th International Symposium on Database Programming Languages (DBPL 2013), August 30, 2013, Riva del Garda, Trento, Ital

The Webdamlog System Managing Distributed Knowledge on the Web

We study the use of WebdamLog, a declarative high-level language in the style of datalog, to support the distribution of both data and knowledge (i.e., programs) over a network of autonomous peers. The main novelty of WebdamLog compared to datalog is its use of delegation, that is, the ability for a peer to communicate a program to another peer. We present results of a user study, showing that users can write WebdamLog programs quickly and correctly, and with a minimal amount of training. We present an implementation of the WebdamLog inference engine relying on the Bud datalog engine. We describe an experimental evaluation of the WebdamLog engine, demonstrating that WebdamLog can be implemented efficiently. We conclude with a discussion of ongoing and future work

Viewing the Web as a Distributed Knowledge Base

International audienceThis papers addresses the challenges faced by everyday Web users, who interact with inherently heterogeneous and distributed information. Managing such data is currently beyond the skills of casual users. We describe ongoing work that has as its goal the development of foundations for declarative distributed data management. In this approach, we see the Web as a knowledge base consisting of distributed logical facts and rules. Our objective is to enable automated reasoning over this knowledge base, ultimately improving the quality of service and of data. For this, we use Webdamlog, a Datalog-style language with rule delegation. We outline ongoing efforts on the WebdamExchange platform that combines Webdamlog evaluation with communication and security protocols

Introducing Access Control in Webdamlog

International audienceWe survey recent work on the specification of an access control mechanism in a collaborative environment. The work is presented in the context of the WebdamLog language, an extension of datalog to a distributed context. We discuss a fine-grained access control mechanism for intentional data based on provenance as well as a control mechanism for delegation, i.e., for deploying rules at remote peers

The Webdamlog System -- Managing Distributed Knowledge on the Web

We study the use of WebdamLog, a declarative high-level language in the style of datalog, to support the distribution of both data and knowledge (i.e., programs) over a network of autonomous peers. The main novelty of WebdamLog compared to datalog is its use of delegation, that is, the ability for a peer to communicate a program to another peer. We present results of a user study, showing that users can write WebdamLog programs quickly and correctly, and with a minimal amount of training. We present an implementation of the WebdamLog inference engine relying on the Bud datalog engine. We describe an experimental evaluation of the WebdamLog engine, demonstrating that WebdamLog can be implemented efficiently. We conclude with a discussion of ongoing and future work

[Demo] Social Networking on top of the WebdamExchange System

International audienceThe demonstration presents the WebdamExchange system, a distributed knowledge base management system with access rights, localization and provenance. This system is based on the exchange of logical statements that describe documents, collections, access rights, keys and localization information and updates of this data. We illustrate how the model can be used in a social-network context to help users keep control on their data on the web. In particular, we show how users within very different schemes of data-distribution (centralized, dht, unstructured P2P,etc) can still transparently collaborate while keeping a good control over their own data

[Demo] Social Networking on top of the WebdamExchange System

International audienceThe demonstration presents the WebdamExchange system, a distributed knowledge base management system with access rights, localization and provenance. This system is based on the exchange of logical statements that describe documents, collections, access rights, keys and localization information and updates of this data. We illustrate how the model can be used in a social-network context to help users keep control on their data on the web. In particular, we show how users within very different schemes of data-distribution (centralized, dht, unstructured P2P,etc) can still transparently collaborate while keeping a good control over their own data

A Conceptual Characterization of Fake News: A Positioning Paper

International audienceFake News have become a global phenomenon due to its explosive growth, particularly on social media. How to identify fake news is becoming an extremely attractive working domain. The lack of a sound, well-grounded conceptual characterization of what exactly a Fake news is and what are its main features, makes difficult to manage Fake News understanding, identification and creation. In this research we propose that conceptual modeling must play a crucial role to characterize Fake News content in a precise way. Only clearly delimiting what a Fake News is, it will be possible to understand and managing their different perspectives and dimensions, with the final purpose of developing any reliable framework for online Fake News detection as much automated as possible. This paper discusses the effort that should be made towards a precise conceptual model of Fake News and its relation with an XAI approach