Link maintenance for integrity in linked open data evolution: literature survey and open challenges Andre Gomes Regino a, Julio Cesar dos Reis a,d, Rodrigo Bonacin b, Ahsan Morshed c and Timos Sellis e a Institute of Computing, University of Campinas, SP, Brazil E-mails:
[email protected],
[email protected] b , UNIFACCAMP and Center for Information Technology Renato Archer, SP, Brazil E-mail:
[email protected] c , Central Queensland University of Technology,Melbourne, Australia E-mail:
[email protected] d Nucleus of Informatics Applied to Education, University of Campinas, SP, Brazil E-mail:
[email protected] e , Swinburne University of Technology,Melbourne, Australia E-mail:
[email protected] Editor: Oscar Corcho, Universidad Politécnica de Madrid, Spain Solicited reviews: Mikel Emaldi Manrique, Universidad de Deusto, Spain; Two anonymous reviewers Open review: Mohamed Ahmed Sherif, University of Leipzig, Germany Abstract. RDF data has been extensively deployed describing various types of resources in a structured way. Links between data elements described by RDF models stand for the core of Semantic Web. The rising amount of structured data published in public RDF repositories, also known as Linked Open Data, elucidates the success of the global and unified dataset proposed by the vision of the Semantic Web. Nowadays, semi-automatic algorithms build connections among these datasets by exploring a variety of methods. Interconnected open data demands automatic methods and tools to maintain their consistency over time. The update of linked data is considered as key process due to the evolutionary characteristic of such structured datasets. However, data changing operations might influence well-formed links, which turns difficult to maintain the consistencies of connections over time.