15 citations · 52 across the 6 of their papers we have counts for
6 papers · 1 filter
Dimensions of Commonsense Knowledge
Filip Ilievski, Alessandro Oltramari, Kaixin Ma +3
Commonsense knowledge is essential for many AI applications, including those in natural language processing, visual processing, and planning. Consequently, many sources that includ…
CSKG: The CommonSense Knowledge Graph
Filip Ilievski, Pedro Szekely, Bin Zhang
Sources of commonsense knowledge support applications in natural language understanding, computer vision, and knowledge graphs. Given their complementarity, their integration is de…
Commonsense Knowledge in Wikidata
Filip Ilievski, Pedro Szekely, Daniel Schwabe
Wikidata and Wikipedia have been proven useful for reason-ing in natural language applications, like question answering or entitylinking. Yet, no existing work has studied the pote…
Consolidating Commonsense Knowledge
Filip Ilievski, Pedro Szekely, Jingwei Cheng +2
Commonsense reasoning is an important aspect of building robust AI systems and is receiving significant attention in the natural language understanding, computer vision, and knowle…
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis
Filip Ilievski, Daniel Garijo, Hans Chalupsky +8
Knowledge graphs (KGs) have become the preferred technology for representing, sharing and adding knowledge to modern AI applications. While KGs have become a mainstream technology,…
Learning the Semantics of Structured Data Sources
Mohsen Taheriyan, Craig A. Knoblock, Pedro Szekely +1
Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data that can be leveraged to build and augment kn…