Open Innovation and Semantic Web

Open Innovation and Semantic Web : Problem Solver Search on Linked Data Milan Stankovic hypios & STIH – Université Paris-Sorbonne

Challanges for OI on Semantic Web
Specifics of OI:
we seek innovative and disruptive solutions, that might come form many places not necesairly best experts
Challanges for SW:
find experts using existing Linked Data sources
Find related domains where the solver might come from

Expert Finding before Linked Data data structured data selection and ranking of experts Content User Activities Reputation and Acheivements user-generated content publications, e-mails, blogs, Wikipedia pages… Buitelaar, P., &Eigner, T. (2008) ;; Kolari, P., Finin, T., Lyons, K., &Yesha, Y. (2008) …. content owned by users Semantic desktop Demartini, G., &Niederée, C. (2008) online activities question answering, bookmarking Adamic et al. (2008) ; Zhang et al.. (2007) … offline activities obtaining research grants, participating in projects endorsment of user’s content Noll et al.(2009). .. replies Jurczyk, P., &Agichtein, E. (2007).

A hidden assumption: Experties hypothesis Expert Candidate Expertise Evidence Expertise Topic hypothesis If the user wrote a paper saved a bookmark saved a bookmark before the others was retweeted on TopicX then he/she is an expert then he/she is a better ranked expert on TopicX

Expert Search on Linked Data selection and ranking of experts expertise hypothesis

How to Choose an Expertise Hypothesis
Look at the structure of data:
global data or local data store
dataset caracteristics already published with VoID and SCOVO
Tools that index data summeries: Khatchadourian, S., & Consens, M. (2010); Harth et al. (2010).
We propose Linked Data metrics based on:
data quantity
topic distribution
topic proximity

Linked Data Metrics
Metrics based on topic distribution
Metrics based on topic proximity

What has been done so far
pilot study
What’s been keeping us busy
qualitative experiment: is there a correlation between the values of the metrics and the precsion and recall expectation of a hypothesis

Hypothesis Recommendation and Expert Finding system
Hy.SemEx system
Next Challange: Provide a way to explore relevant domains of knowledge and include them in the expert search.
considered work in: Recommender Systems based on semantic proximity; Serendipity;
problem topic 1 topic 2 Recommend hypothesis VoID + SCOVO Find Experts Invite Experts Recommend Problems

Questions Please?
Milan Stankovic
[email_address]

Open Innovation and Semantic Web

by milstan on Nov 09, 2010

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Open Innovation and Semantic Web — Presentation Transcript