Title
Design and analysis of logics for Web data (Research)
Abstract
The web can be viewed as a decentralized or distributed database
where each website acts as a data source. The big umbrella that our
research falls under it is to be able to query the web data specially
in a declarative way. In general, data on the web does not have to
be structured as in the classical relational model. Moreover, it is
often the case where we have to give some information in order to
get what we are searching for. From here, our focus on information
sources with limited access patterns and semi-structured data came
from. Hence, our objectives are divided among these two categories
of data.
Our first objective was to investigate how we can model querying
access restricted information sources using a recent knowledge
representation framework of logics called the Logic of information
flows.
As for the second objective, we focus on sequence data as an
example of semi-structured data. One formalization that works with
sequence data is J-Logic, which is also a logical language based on
Datalog that extends the language with some new features. This
being said, our second research objective was to conduct an
extensive relative expressiveness investigation that compares the
different language features in J-Logic.
Period of project
16 March 2019 - 15 March 2023