An Open Rating System for Collaborative Ontology Evaluation
This event took place on Thursday 31 January 2008 at 11:30
Holger Lewen AIFB, Universität Karlsruhe (TH)
Open Rating Systems provide a means for obtaining many opinions on content from different people. The basic idea is that when seeking advice, people turn to someone they trust and whose opinion they value. Based on statements about the perceived trust towards the ability of another user to provide helpful reviews, reviews will be presented in an order that is inferred to be most useful for the user. Basic Open Rating Systems are currently employed when products should be ratable for end-users, like Amazon's product reviews.
In this talk an adapted Open Rating System model is presented that is tailored to ontology reviewing. It will be shown how such a system can be seen used as an ontology evaluation framework that can combine automated and human reviews. Also the status of the ongoing effort of integration with Watson will be discussed.
This event took place on Thursday 31 January 2008 at 11:30
Open Rating Systems provide a means for obtaining many opinions on content from different people. The basic idea is that when seeking advice, people turn to someone they trust and whose opinion they value. Based on statements about the perceived trust towards the ability of another user to provide helpful reviews, reviews will be presented in an order that is inferred to be most useful for the user. Basic Open Rating Systems are currently employed when products should be ratable for end-users, like Amazon's product reviews.
In this talk an adapted Open Rating System model is presented that is tailored to ontology reviewing. It will be shown how such a system can be seen used as an ontology evaluation framework that can combine automated and human reviews. Also the status of the ongoing effort of integration with Watson will be discussed.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...
We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
Visit the MMIS website
List all Multimedia and Information Systems Projects
Check out these Hot Multimedia and Information Systems Technologies:
List all Multimedia and Information Systems Technologies
