xOperator: combines advantages of social network websites with instant messaging

A semantic agent for xmpp / jabber network which finds and shares content about resources (using RDF/SPARQL) for you and your jabber friends.

Source Code Issues

Introduction

Instant Messaging is in addition to Web and Email the most popular service on the Internet. With xOperator we present a strategy and implementation which deeply integrates Instant Messaging networks with the Semantic Web. The xOperator concept is based on the idea of creating an overlay network of collaborative information agents on top of social IM networks. It can be queried using a controlled and easily extensible language based on AIML templates. Such a deep integration of semantic technologies and Instant Messaging bears a number of advantages and benefits for users when compared to the separated use of Semantic Web technologies and IM, the most important ones being context awareness as well as provenance and trust.

Idea

Inspired by Tim Berners-Lee's Semantic Agent the xOperator lifts personal knowledge exchange to a new level. Imagine sharing exactly the information you want with the people you trust. Need a phone number? Want to know the birthday of your best friends girlfriend (and in a second step where to buy her a present in a store near you)? Do you get tired to tell everybody that you have a new cellphone number? xOperator enables users to share all that knowledge in a trusted network. Built upon the already existing jabber network (secure connections, widely available) an agent running on your pc allows other users to query your RDF-database returning the favor to you.

Millions of people already share their information on Social Network Sites, only for designated friends to see of course. The great drawback is though that actually, they are helping to maintain a great database for the companies offering these services. Once the Semantic Web will be fully implemented it might also enable the possibility to unify personal information about an individual from different sources. xOperator keeps all data on your computer, giving you the choice what to share with whom and best of all it can't take away that choice by changing the terms and conditions.

Despite all this ideology, xOperator will be, surely, once it exists, a very cool thing to use, which is to say, we are very exited ourselves, what uses it can be put to.

Vision

xOperator tries to create a decentralized network of trust. Information is shared in the form of resources, which can be anything (even the information that you are selling your old washing machine). In a later stage it enables you to find friends of friends like centralized services, can already. At the end of the road, xOperator might even be able to find the best product for you without the normally necessary tedious internet research. Companies will be able to offer semantic annotated information about their products, giving the customer a new way of yet unknown price transparency.

Project Team

Former Members

Publications

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News

SANSA 0.2 (Semantic Analytics Stack) Released ( 2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann)

2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann

The AKSW and Smart Data Analytics groups are happy to announce SANSA 0.2 – the second release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.2 (Semantic Analytics Stack) Released"

AKSW at ESWC 2017 ( 2017-06-12T10:53:35+02:00 Christopher Schulz)

2017-06-12T10:53:35+02:00 Christopher Schulz

Hello Community! The ESWC 2017 just ended and we give a short report of the course at the conference, especially regarding the AKSW-Group. Our members Dr. Muhammad Saleem, Dr. Mohamed Ahmed Sherif, Claus Stadler, Michael Röder, Prof. Dr. Read more about "AKSW at ESWC 2017"

Four papers accepted at WI 2017 ( 2017-06-10T15:01:31+02:00 Christopher Schulz)

2017-06-10T15:01:31+02:00 Christopher Schulz

Hello Community! We proudly announce that The International Conference on Web Intelligence (WI) accepted four papers by our group. The WI takes place in Leipzig between the 23th – 26th of August. Read more about "Four papers accepted at WI 2017"

AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data. ( 2017-05-26T13:51:11+02:00 by Diego Moussallem)

2017-05-26T13:51:11+02:00 by Diego Moussallem

At the AKSW Colloquium, on Monday 29th of May 2017, 3 PM, Diego Moussallem will present two papers related to his topic. First paper titled “Using BabelNet to Improve OOV Coverage in SMT” of Du et al. Read more about "AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data."

SML-Bench 0.2 Released ( 2017-05-11T13:01:45+02:00 by Patrick Westphal)

2017-05-11T13:01:45+02:00 by Patrick Westphal

Dear all, we are happy to announce the 0.2 release of SML-Bench, our Structured Machine Learning benchmark framework. SML-Bench provides full benchmarking scenarios for inductive supervised machine learning covering different knowledge representation languages like OWL and Prolog. Read more about "SML-Bench 0.2 Released"