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Tag Archives: Link Discovery
AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning
At the AKSW Colloquium on Friday 7th of July, at 10:40 AM there will be two paper presentations concerning genetic algorithms to learn linkage rules, and differentiable learning of logical rules for knowledge base reasoning. Tommaso Soru will present the paper … Continue reading
Posted in Colloquium, paper presentation
Tagged Genetic Programming, Knowledge Base, Knowledge Base Reasoning, Link Discovery, Machine Learning, Reasoning, Record Linkage
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AKSW at ESWC 2017
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. Jens Lehmann … Continue reading
Posted in Announcements, Call for Paper, Events, HOBBIT, paper presentation, Papers
Tagged BioFed, Kbox, Link Discovery, MOCHA, OKE, QuWeDa, RDF, WOMBAT
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Four papers accepted at WI 2017
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. The accepted papers are: “An Evaluation of Models … Continue reading
Posted in Announcements, paper presentation, Papers
Tagged CEDAL, GENESIS, Link Discovery, LOG4MEX
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AKSW Colloquium, 15.02.2016, Mandolin + X-Feasible
On the 15th of February at 3 PM, Tommaso Soru will present his ongoing research titled “Mandolin: Markov Logic Networks for Discovering Links”. Later on, at 3:30 PM, our guest Adnan Akhter from HFT Stuttgart will present “X-FEASIBLE: Extended Feature-Based … Continue reading
Posted in Colloquium, invited talk, LinkingLOD, paper presentation
Tagged benchmarks, entity linking, Link Discovery, linked data, Papers, statistical relational learning
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AKSW Colloquium, 14-12-2015, SERIMI
In the incoming AKSW Colloquium, scheduled for the 14th of December at 3 PM, Mofeed Hassan will present the paper “SERIMI: Class-Based Matching for Instance Matching Across Heterogeneous Datasets”, by Samur Araujo et al. Abstract State-of-the-art instance matching approaches do … Continue reading
Posted in Colloquium, paper presentation
Tagged entity linking, heterogeneous datasets, instance matching, Link Discovery
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AKSW Colloquium, 14 September, 3pm, Learning Metrics for Link Discovery
In this Colloquium, Tommaso Soru will present the progress of his PhD titled “Learning Metrics for Link Discovery”. The discovery of new links is essential for the construction of the Linked Data cloud. The use of links to other URIs … Continue reading
Posted in Colloquium, LIMES, PHD progress report, PhD topic
Tagged key discovery, Link Discovery, Machine Learning
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AKSW Colloquium, 15-06-2015, Caching for Link Discovery
Using Caching for Local Link Discovery on Large Data Sets [PDF] by Mofeed Hassan Engineering the Data Web in the Big Data era demands the development of time- and space-efficient solutions for covering the lifecycle of Linked Data. As shown … Continue reading
Posted in Colloquium, LIMES, Papers
Tagged caching, large datasets, LIMES, Link Discovery
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LIMES Version 0.6 RC4
It has been a while but that moment has arrived again. We are happy to announce a new release of the LIMES framework. This version implements novel geo-spatial measures (e.g., geographic mean) as well as string similarity measures (jaro, jaro-winkler, … Continue reading
Finally … Assisted Link Discovery
Hello world, We are happy to announce that LIMES has been extended with an interface that will make linking easier than ever before. The COLANUT (Complex Linking in a NUTshell) interface implements time-efficient schema matching algorithms that allow LIMES to … Continue reading
Posted in Announcements, LIMES, Papers, SCMS, Software Releases
Tagged LIMES, Link Discovery, Machine Learning, Schema Matching, SCMS
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LIMES 0.5RC1
We could not resist the pleasure of making the demo of the new release candidate of LIMES (0.5RC1) available for all. LIMES 0.5 comes fitted with a new grammar for complex metric specification and fully novel algorithms. The new version … Continue reading
Posted in Announcements, LIMES, Software Releases
Tagged LIMES, Link Discovery, linked data
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