Efficient performance of complex knowledge work is of crucial importance to saving resources in the global economy and long term sustainability. A lot remains to be leveraged in engineering computer-based systems for assisting humans via cognitive and performance aids. The performance of knowledge-intensive tasks (simply, knowledge-work) involves complex and dynamic interactions between human cognition and multiple sources of information. For achieving efficient healthcare for patients, a knowledge work Support System focused in the biomedical domain needs complete access to domain information in order to offer correct and precise data to a knowledge worker. The collection of this data and their interrelationships can be automated by gleaning the necessary knowledge from Linked Open Data (LOD) sets available on the Internet. Because LOD sets are interlinked, populating a KwSSs knowledge base with their informational content allows the system to store the relationships among various biomedical concepts, thereby making it a more active consumer of knowledge and improving its ability to aid in any given setting. This paper explores the utility and completion of LOD sets for a KwSS focused on the biomedical domain. In particular, two types of LOD sets are examined: domain-specific (e.g. Dailymed, DrugBank) and general-context (e.g. DBpedia, WordNet). More specifically, this paper investigates the structure of the available data, the extent to which such interlinked data can provide the knowledge content necessary for fulfilling tasks and activities performed in the biomedical domain (e.g. the patient-doctor setting), and how an individual can potentially access this data.