Gleaning Types for Literals in RDF Triples with Application to Entity Summarization

TitleGleaning Types for Literals in RDF Triples with Application to Entity Summarization
Publication TypeConference Proceedings
Year of Publication2016
AuthorsKalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng
EditorHarald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone P. Ponzetto, Christoph Lange
Conference Name13th International Conference, ESWC 2016
Date Published2016
PublisherSpringer International Publishing
Conference LocationHeraklion, Crete, Greece
ISBN Number978-3-319-34128-6
KeywordsEntity Summarization, Properties, Type assignment

Associating meaning with data in a machine-readable format is at the core of the Semantic Web vision, and typing is one such process. Typing (assigning a class selected from schema) information can be attached to URI resources in RDF/S knowledge graphs and datasets to improve quality, reliability, and analysis. There are two types of properties: object properties, and datatype properties. Type information can be made available for object properties as their object values are URIs. Typed object properties allow richer semantic analysis compared to datatype properties, whose object values are literals. In fact, many datatype properties can be analyzed to suggest types selected from a schema similar to object properties, enabling their wider use in applications. In this paper, we propose an approach to glean types for datatype properties by processing their object values. We show the usefulness of generated types by utilizing them to group facts on the basis of their semantics in computing diversifed entity summaries by extending a state-of-the-art summarization algorithm.