METHOD 2012 - The 1st IEEE International Workshop on Methods for Establishing Trust with Open Data

Website compsac.cs.iastate.edu | Edit Freely

Category METHOD 2012

Deadline: March 15, 2012 | Date: July 16, 2012-July 20, 2012

Venue/Country: Izmir, Turkey

Updated: 2011-12-17 22:54:56 (GMT+9)

Call For Papers - CFP

Theme of the Workshop

Technological advancements enable us to collect and analyze huge amounts of data. Although such a form of large-scale, partially automated data processing is historically unprecedented, there are already many examples that the utilization and correlation of large amounts of information can be very useful for society. This is especially true for information that is provided as open data, in standardized formats, with liberal licensing models, free for everyone to use, and with no restrictions on its usage. Establishing processes based on such characteristics are considered a positive development and many national, as well as local, governments / organizations now strive to provide information according to open data principles. Unfortunately, by employing large-scale data analysis

processes and by giving away control over the provided information, we also become increasingly vulnerable to information abuse, intrusion into personal spaces, data forgery, and identity theft. In an environment that is worldwide connected and relying on open data, we are struggling to prove the provenance of data, to protect our personal information, or even to simply decide if a certain

piece of information is true. In other words: we are losing our ability to trust such information. In the METHOD workshop we want to discuss approaches and concrete technical means that are necessary to establish trust in information that is processed, collected, and provided using open data principles.

Scope of the Workshop

We will consider all contributions that are relevant to both of the elds: open data and trust research. We also consider the research areas of trustworthy systems and trusted computing as being part of trust research. Contributions from the following list of topics are especially welcome:

Open data provenance

--Information quality

--Information trustworthiness

--Transparency and verication of information flows

--Smart data

Expressing trust

--Trust representation and derivation from open data

--Attestation for data services and operations

--Modeling trust in data-centric applications

Open trust management

--Trust management in the semantic web

--Management of reputation and user ratings

--Community-based trust management

--Trustable recommendation systems

Privacy preservation

--De-identication of data

--Anonymous authentication

--Escrow services

--Criticality assessment for data sets