Category Archives: Uncategorized

New GERBIL release v1.2.5 – Benchmarking entity annotation systems

Dear all, the Smart Data Management competence center at AKSW is happy to announce GERBIL 1.2.5. GERBIL is a general entity annotation benchmarking system and offers an easy-to-use web-based platform for the agile comparison of annotators using multiple datasets and uniform … Continue reading

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Two accepted papers in ESWC 2017

Hello Community! We are very pleased to announce the acceptance of two papers in ESWC 2017 research track. The ESWC 2017 is to be held in Portoroz, Slovenia from 28th of May to the 1st of June. In more detail, … Continue reading

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AKSW Colloquium, 13th February, 3pm, Evaluating Entity Linking

On the 13th of February at 3 PM, Michael Röder will present the two papers “Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job” of van Erp et al. and “Moving away … Continue reading

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AKSW Colloquium, 28.11.2016, NED using PBOH + Large-Scale Learning of Relation-Extraction Rules.

In the upcoming Colloquium, November the 28th at 3 PM, two papers will be presented: Probabilistic Bag-Of-Hyperlinks Model for Entity Linking Diego Moussallem will discuss the paper “Probabilistic Bag-Of-Hyperlinks Model for Entity Linking” by Octavian-Eugen Ganea et. al. which was accepted at WWW … Continue reading

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Accepted paper in AAAI 2017

Hello Community! We are very pleased to announce that our paper “Radon– Rapid Discovery of Topological Relations” was accepted for presentation at the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), which will be held in February 4–9 at the Hilton … Continue reading

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LIMES 1.0.0 Released

Dear all, the LIMES Dev team is happy to announce LIMES 1.0.0. LIMES, the Link Discovery Framework for Metric Spaces, is a link discovery framework for the Web of Data. It implements time-efficient approaches for large-scale link discovery based on … Continue reading

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DL-Learner 1.3 (Supervised Structured Machine Learning Framework) Released

Dear all, the Smart Data Analytics group at AKSW is happy to announce DL-Learner 1.3. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as … Continue reading

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AKSW Colloquium, 15th August, 3pm, RDF query relaxation

On the 15th of August at 3 PM, Michael Röder will present the paper “RDF Query Relaxation Strategies Based on Failure Causes” of Fokou et al. in P702. Abstract Recent advances in Web-information extraction have led to the creation of … Continue reading

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Article accepted in Journal of Web Semantics

We are happy to announce that the article “DL-Learner – A Framework for Inductive Learning on the Semantic Web” by Lorenz Bühmann, Jens Lehmann and Patrick Westphal was accepted for publication in the Journal of Web Semantics: Science, Services and Agents on … Continue reading

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AKSW Colloquium, 18.07.2016, AEGLE and node2vec

On Monday 18.07.2016, Kleanthi Georgala will give her Colloquium presentation for her paper “An Efficient Approach for the Generation of Allen Relations”, that was accepted at the European Conference on Artificial Intelligence (ECAI) 2016. Abstract Event data is increasingly being … Continue reading

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