Trust and Semantic Web Technologies

18
Trust and Semantic Web Technologies Chris McConnell April 4, 2006

description

Trust and Semantic Web Technologies. Chris McConnell April 4, 2006. Two Ways to think about Trust. Trust in terms of Web Services Trust (or reputation) on the read/write Web. Trust and Web Services. Trust sits atop Web Services stack Web Services technologies - PowerPoint PPT Presentation

Transcript of Trust and Semantic Web Technologies

Page 1: Trust and  Semantic Web Technologies

Trust and Semantic Web Technologies

Chris McConnell

April 4, 2006

Page 2: Trust and  Semantic Web Technologies

Two Ways to think about Trust

• Trust in terms of Web Services

• Trust (or reputation) on the read/write Web.

Page 3: Trust and  Semantic Web Technologies

Trust and Web Services

• Trust sits atop Web Services stack

• Web Services technologies

• Needed to protect against malicious users, fraud, flaky business partners.

• Currently, no standard exists for trust in Web Services, so research is speculative.

Page 4: Trust and  Semantic Web Technologies

How could trust be implemented?

• Most articles suggest PKI implementations for authentication.

• As Daconta suggests, current authentication strategies are designed for 1:1 relationships.

• Web Services rely on complex relationships between services (UDDI, WSDL, APIs) more complex than 1:1

Page 5: Trust and  Semantic Web Technologies

Additional Barriers to Trust

• As several authors point out, keys are keys and not users.

• Technological solutions do not guarantee that users are who they say they are.

• Perhaps the most difficult social construct to implement in software.

Page 6: Trust and  Semantic Web Technologies

An RDF approach to Trust

• Uses FOAF and PKI to establish relationships for trusted interactions online.

• Used to sign RDF documents and establish

• Uses a third party to authenticate keys.

Page 7: Trust and  Semantic Web Technologies

Trust and Web 2.0

• Issues of trust in a more explicitly social sphere.

• The “read/write Web” requires trust - or at least reputation” in order to maintain integrity of information or discussion.

• In these cases, it’s not a matter of keeping things private, but instead getting assurance about the quality of public information.

Page 8: Trust and  Semantic Web Technologies

Reputation

• Reputation is based on feedback from other users.

• In offline world, reputation is generally informal

• Online, reputation can be informal or formal.

Page 9: Trust and  Semantic Web Technologies

A formal “Web 1.5” reputation system

• Slashdot uses a “karma” system to rate the reputation of users.

• When users leave comments on entries, these comments can be numerically rated by moderators.

• The sum of these moderation scores determines “karma.”

• Users must reach a particular karma threshold before they can get moderation privileges.

Page 10: Trust and  Semantic Web Technologies

Why was this system developed?

• Slashdot discussions rapidly grew out-of-hand, filled with junk posts, spam, and flamebait.

• Comment ratings allow readers to filter out only the best comments.

• Moderation privileges first went to users known by administrators, then randomly chosen users, until finally settling on current karma system.

Page 11: Trust and  Semantic Web Technologies

Problems with this System

• Initially karma was represented as a numerical value.

• Some users became obsessed with karma: “karma whores”

• New commenters are often ignored, alienated in the moderation system.

• Replicates existing Slashdot attitudes, a self-reinforcing system.

Page 12: Trust and  Semantic Web Technologies

Reputation on Wikipedia• Wikipedia does not have a formal

reputation system like Slashdot.

• Leaders of the project want to encourage as much participation as possible.

• Relies on informal reputation. Contributions to individual articles, participation in Wikiproject, talk pages.

• Vandals can be banned, have their user accounts frozen

Page 13: Trust and  Semantic Web Technologies

Issues for Wikipedia

• Information quality: How can we know this is good information if we don’t know the users?

• Allows anonymous edits, can encourage vandals.

• “Given enough eyeball…”• Reputation is an ancillary issue if many

people are checking pages.

Page 14: Trust and  Semantic Web Technologies

Seigenthaler Incident

• Article on journalist John Seigenthaler accused him of participating in the JFK assassination.

• Posted by an anonymous user.• Article went unnoticed until Seigenthaler

publicized the story in the mainstream media.• Wikipedia response: barring anonymous

users from creating new articles.

Page 15: Trust and  Semantic Web Technologies

Other Ongoing Issues

• Political staffers editing the boss’ article to remove unflattering information.

• Adam Curry editing “Podcast” article to make it more favorable to him.

• Articles that receive little attention can have errors that go unnoticed for long periods.

Page 16: Trust and  Semantic Web Technologies

Future of Trust on Wikipedia

• Jimmy Wales has said publicly that he does not believe the project needs a Slashdot-style

• To improve trust, he says review processes will be expanded.

• Create “gold” and “dev” versions of Wikipedia.

Page 17: Trust and  Semantic Web Technologies

Other Issues of Trust on Web 2.0

• del.icio.us: what happens when spam hits a critical mass on social bookmarking systems?

• Astroturf/FUD blogs. How can blogs be trusted beyond informal social reputation?

• Gaming Digg, etc.

Page 18: Trust and  Semantic Web Technologies

Discussion