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Tag Archives: LIMES
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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AKSW Colloquium: Edgard Marx and Tommaso Soru on Monday, February 23, 3.00 p.m.
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
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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
Two AKSW Papers at ESWC
Greetings World. We are happy to announce that the AKSW papers “COALA – Correlation-Aware Active Learning of Link Specifications” and “When to Reach for the Cloud: Using Parallel Hardware for Link Discovery” were selected for presentation at ESWC 2013. Each … Continue reading
Can we create better links by playing games?
Most of you will agree that links are an important element of the Web of Data. There exist a number of tools, such as LIMES or SILK, which are able to create a high number of such links by using … Continue reading
Posted in LATC, LOD2, Software Releases
Tagged games with a purpose, LIMES, linking, LOD2, verilinks
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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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