Semantic-driven watermarking of relational textual databases

•Mark embedding through synonyms substitutions avoids to compromise data quality.•Controlling the number of times each mark is embedded contributes to high resiliency.•Multi-word textual attributes in relational data helps to protect their ownership.•Majority voting compensates lack of precision in word sense disambiguation algorithms.