id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-025300-sl9kredk	Jiménez-Ruiz, Ernesto	SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems	2020-05-07		.txt	text/plain	6250	385	64	Tabular data to Knowledge Graph (KG) matching is the process of assigning semantic tags from KGs (e.g., Wikidata or DBpedia) to the elements of the table. We have selected the following tasks for the semantic annotation of tabular data: (i) Column-Type Annotation (CTA), (ii) Cell-Entity Annotation (CEA), and (iii) Columns-Property Annotation (CPA). The above matching tasks are challenging for various reasons including but not limited to: (i) Lack of metadata or uninformative table and column names, a typical scenario in Web tables and real-world tabular data. The final outcome is a collection of SPARQL queries, each resulting in tabular data with (i) columns that can be annotated with the expected type (class for the case of object properties), (ii) cell values that can be annotated with instance URIs, and (iii) pairs of columns that can be annotated with a property.	./cache/cord-025300-sl9kredk.txt	./txt/cord-025300-sl9kredk.txt