36 citations · 172 across the 17 of their papers we have counts for
6 papers · 1 filter
Enriching Wikidata with Linked Open Data
Bohui Zhang, Filip Ilievski, Pedro Szekely
Large public knowledge graphs, like Wikidata, contain billions of statements about tens of millions of entities, thus inspiring various use cases to exploit such knowledge graphs.…
Augmenting Knowledge Graphs for Better Link Prediction
Jiang Wang, Filip Ilievski, Pedro Szekely +1
Embedding methods have demonstrated robust performance on the task of link prediction in knowledge graphs, by mostly encoding entity relationships. Recent methods propose to enhanc…
Creating and Querying Personalized Versions of Wikidata on a Laptop
Hans Chalupsky, Pedro Szekely, Filip Ilievski +2
Application developers today have three choices for exploiting the knowledge present in Wikidata: they can download the Wikidata dumps in JSON or RDF format, they can use the Wikid…
User-friendly Comparison of Similarity Algorithms on Wikidata
Filip Ilievski, Pedro Szekely, Gleb Satyukov +1
While the similarity between two concept words has been evaluated and studied for decades, much less attention has been devoted to algorithms that can compute the similarity of nod…
A Study of the Quality of Wikidata
Kartik Shenoy, Filip Ilievski, Daniel Garijo +2
Wikidata has been increasingly adopted by many communities for a wide variety of applications, which demand high-quality knowledge to deliver successful results. In this paper, we…
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages
Rahul Kapoor, Mayank Kejriwal, Pedro Szekely
Extracting geographical tags from webpages is a well-motivated application in many domains. In illicit domains with unusual language models, like human trafficking, extracting geot…