=Paper=
{{Paper
|id=None
|storemode=property
|title=Viewing the Web as a Distributed Knowledge Base
|pdfUrl=https://ceur-ws.org/Vol-846/invited_paper_2.pdf
|volume=Vol-846
|dblpUrl=https://dblp.org/rec/conf/dlog/Abiteboul12
}}
==Viewing the Web as a Distributed Knowledge Base==
<pdf width="1500px">https://ceur-ws.org/Vol-846/invited_paper_2.pdf</pdf>
<pre>
                    Viewing the Web as
               a Distributed Knowledge Base

                                Serge Abiteboul

             Collège de France, INRIA Saclay & ENS Cachan, France

    Information of interest may be found on the Web in a variety of forms, in
many systems, and with different access protocols. A typical user may have in-
formation on many devices (smartphone, laptop, TV box, etc.), many systems
(mailers, blogs, Web sites, etc.), many social networks (Facebook, Picasa, etc.).
This same user may have access to more information from family, friends, as-
sociations, companies, and organizations. Today, the control and management
of the diversity of data and tasks in this setting are beyond the skills of casual
users. Facing similar issues, companies see the cost of managing and integrating
information skyrocketing.
    We are interested here in the management of such data. Our focus is not on
harvesting all the data of a particular user or a group of users and then managing
it in a centralized manner. Instead, we are concerned with the management of
Web data in place in a distributed manner, with a possibly large number of
autonomous, heterogeneous systems collaborating to support certain tasks.
    Our thesis is that managing the richness and diversity of user-centric data
residing on the Web can be tamed using a holistic approach based on a dis-
tributed knowledge base. All Web informations are represented as logical facts,
and Web data management tasks as logical rules. We discuss Webdamlog, a vari-
ant of datalog for distributed data management that we use for this purpose.
The automatic reasoning provided by its inference engine, operating over the
Web knowledge base, greatly benefits a variety of complex data management
tasks that currently require intense work and deep expertise.

</pre>