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Semantic Web

As a stack of protocols, standard, and technologies, semantic web aides in the broader field of knowledge representation. Its purpose is changing the way data on the WWW is accessed by adding meta data to each piece of data making it machine-readable.  (e.g., Dr. Shaban-Nejad is a Person, UTHSC is an Organization, etc.). Machine readability facilitates the ability of software tools to process the data for several purposes such as analysis and discovery of new, related knowledge concepts. 

Overseen by Dr. Shaban-Nejad, CBMI projects that utilize semantic web include:

  1. The SPACEs hybrid recommendation system (Mental Health Surveillance)
  2. The Personal Health Library

 These can be accessed here:

Additionally, ontologies are often used for knowledge representation by defining concepts in a certain domain and publishing them for the community for reuse. For example, Dr. Shaban-Nejad has developed the ACESO ontology and published it on bio portal accessed here:

  1. In the SPACEs recommender system project, both the concept hierarchies (related to ACEs and SDoH) and the causal axioms in that ontology were used to perform semantic inference on the top of a personalized knowledge graph 
  2. In the Personal Health Library Project, integrate concepts from several Linked Open Data ontologies for AI explainability and dynamic knowledge discovery were used. 
May 26, 2022