Tag Archives: Machine Learning

Assessing Language Identification Over DBpedia

Posted on May 4, 2021 by EdgardMarx

Large-scale multilingual knowledge bases (KBs) are the key for cross-lingual and multilingual applications such as Question Answering, Machine Translation, and Search. They can encode the same information in different languages and be used to deliver content in the most appropriate … Continue reading →

Posted in Language Identification, Papers, Research, Uncategorized | Tagged DBpedia, GSOC2020, ICSC2021, Language Identification, Machine Learning, Multilingual Knowledge Bases | Comments Off

AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning

Posted on July 6, 2017 by Daniel Obraczka

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 | Comments Off

AKSW Colloquium, 14 September, 3pm, Learning Metrics for Link Discovery

Posted on September 13, 2015 by TommasoSoru

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 | Comments Off

AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m.

Posted on February 19, 2015 by TommasoSoru

On Monday, 23rd of February 2015, Edgard Marx will introduce Smart, a search engine designed over the Semantic Search paradigm; subsequently, Tommaso Soru will present ROCKER, a refinement operator approach for key discovery. EDIT: Tommaso Soru’s presentation was moved to … Continue reading →

Posted in Announcements, Colloquium, LIMES, paper presentation, PHD progress report | Tagged key discovery, LIMES, linked data, Machine Learning, qa, question answering, WWW2015 | Leave a comment

Finally … Assisted Link Discovery

Posted on September 10, 2011 by AxelNgonga

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 | Leave a comment

FOX Version 0.1

Posted on July 6, 2011 by AxelNgonga

We are thrilled to announce the first version of the Federated knOwledge eXtraction (FOX) framework. FOX integrates and merges the results of frameworks for Named Entity Recognition, Keyword/Keyphrase Extraction and Relation Extraction by using machine learning techniques. By these means, … Continue reading →

Posted in Announcements, FOX, Software Releases | Tagged Keyword Extraction, Machine Learning, NER, NLP, RDF | 1 Comment