Subsequently, a manual assessment of the articles was made. First, duplicates were removed, e.g., when the same paper had been retrieved based on two sep- arate queries, or when a paper for instance was avail- able both through the authors website, hence indexed by Google Scholar, and through the Journal’s own site. Since many of the articles had been retrieved based on a full-text search, it then had to be determined if Se- mantic Web and DSS technologies and solutions were actually a topic of the paper, or simply mentioned in brief. Articles where Semantic Web or DSS were only mentioned as (i) part of the related work section, (ii) as future work, or (iii) as part of the author bio (present in the template of several of the journals), were dis- carded. Additionally, a small number of articles were discarded due to the keywords not actually represent- ing the intended meaning, for instance, in one case an article contained the sequence of words “semantic web” but not as a term representing the concept of the Semantic Web but as a part of a sentence mentioning the inherent semantics of the text in web documents. The remaining number of articles is 59, which is the set used for the data collection described below.