Work

Peer-to-Peer Semantic Integration of Linked Data.

Year: 2015

Type: book-chapter

Abstract: We propose a framework for peer-based integration of linked data sets, where the semantic relationships between data at different peers are expressed through mappings. We provide the theoretical foundations for such a setting and we devise an algorithm for processing graph pattern queries, discussing its complexity and scalability.

Source: BIROn (Birkbeck, University of London)

Authors: Mirko Michele Dimartino, Andrea Calı̀, Alexandra Poulovassilis, Peter T. Wood

Institution: Birkbeck, University of London

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Award: Schema Mappings and Automated Services for Data Integration and Exchange

OpenAlex ID: W260817236