Download - SemLib Final Conference

SEMLIB PROJECTSemantic Web Tools for Digital Libraries

digi.memanaging information the Web 3.0 way

14-Dec-2012, Pisa

Dr. Sebastian Ryszard Kruk, Knowledge Hives sp. z o.o.

Thursday, December 20, 12


Public conference 14 Dec 2012, Pisa

Outline

• Introduction

• Problem

• Background technology

• digi.me

• Civet

• Integration of SemLib deliverables

• Pundit

• SLDR

• Conclusions




Introduction

• Knowledge Hives: Web 3.0 startup spin off from research on Semantic Digital Libraries

• Team:

• Arkadiusz Kwoska - CEO, Serial Entrepreneur

• Dr. Sebastian R. Kruk - CTO, Researcher and Innovator

• Wiktor Bachnik - Web 3.0 Developer

• Product: digi.me - information management engine rebuilt from research results on JeromeDL -




Problems

• Social media information overload

• Too many low quality recommendations

• Being unaware of interesting information we have access to

• Forgetting what we knew

• Privacy of what we gather and share




digi.me

• Redone and improved core of JeromeDL

• Middleware service (REST API)

• Focus on:

• organization, annotation and discovery

• social interactions (sharing)

• privacy control

• Recommendations:

• presenting related content

• clustering items in large boxes




Civet

• Answer to the findings from the beta tests of digi.me

• Going beyond simply NLP

• Aiming not only at English texts (EN, PL, DE, FR)

• Texts become RDFa documents with concepts from vocabularies published as Linked Open Data




Civet




Integration

• Demo UI exemplifying some middleware capabilities http://demo.digi.me/

• Pundit uses Civet for entity extraction

• digi.me interfaces with SLDR for SD and CF recommendations


http://demo.digi.me

http://demo.digi.me



Integration




Pundit

• Perfect counterpart for Civet

• Enables users to further annotate document or improve annotations from Civet

• Integration:

• simple annotation workflow with browser bookmarklet

• uses Civet for entity extraction




Pundit




SLDR

• Recommendation engine for semantic repositories:

• content-based semantic distance

• collaborative filtering

• Integration:

• via SPARQL endpoint

• run as a night batch process

• Work in progress on:

• improving scalability

• linked-metadata semantic distance




SLDR




Conclusions

• SemLib deliverables:

• complete current Knowledge Hives technologies

• are already in demand of our potential customers

• requires further improvements (SLDR) and tighter integration (Pundit)

• Roadmap:

• two social media showcase demo services

• first PoC deployments with our clients



digi.memanage your information the Web 3.0 way

Dr. Sebastian Ryszard [email protected]

Knowledge Hives sp. z o.o.http://www.knowledgehives.com

Semantic tools for digital libraries a.k.a. SemLib is a 24th month R&D project supported by EU FP7 Theme: Research for SMEs (no. FP7-SME-2010-01-262301-SEMLIB) commenced in January 2011. More info at http://www.semlibproject.eu


mailto:[email protected]

mailto:[email protected]

http://www.knowledgehives.com

http://www.knowledgehives.com

http://www.semlibproject.eu

http://www.semlibproject.eu