Here are some ways to deal with linking errors in Linked Open Data: - Perform regular quality checks on links and revise as needed. Automated link validation can help detect errors. - Clearly distinguish between certain and uncertain links. Qualify links with confidence scores or provenance information. - Allow links to be disputed and corrected through community feedback and review processes. - Version control datasets so errors can be tracked and addressed over time. Retire outdated links rather than deleting them. - Aggregate links from multiple sources and resolve conflicts to determine best links. Crowdsourcing can also help. - Design applications and queries to be fault-tolerant of some erroneous links through techniques like redundancy.