Results. After the initial fine-tuning, journal content is auto- assigned to topic
collections automatically when published. After 2 years of utilizing this mapping
and ...
Medical Journal Topic Collections: Auto-assignment with biomedical taxonomy-supported semantic tagging Christine Dietrick, Rena Morse Objective Topic collections allow access to specific subject areas or themes within a medical journal or group of journals. Users can efficiently retrieve slices of meaningful content based on their interest areas. Accurate and timely categorization of content into topics forms the basis for this user experience. Silverchair’s proprietary UMLSbased biomedical taxonomy of over 53,000 terms is used for semantic tagging of journal content. Mapping this taxonomy to client-specific topics facilitates automatic assignment of relevant journal content into topic collections.
Enhancing Taxonomy/Mapping
Review and Refinement
• New terminology is identified based on client’s vision for the topic and initial content review.
The Semantics team reviews the tagged journal content to identify missing or undesired topic collections.
• A mapping strategy is developed to delineate terms from the enhanced taxonomy that will be mapped to the topics.
Development of a new topic collection involves numerous iterations of content review and refinement of the mapping strategy. Enhancements include: •Additional terms added to the taxonomy and the map •Missing synonyms and acronyms added to the term record •Client specific stoplist additions or deletions •Adjustment of topic weighting
A Public Health collection for a pharmacy journal was intended to include health screening. A term for screening for osteoporosis was added to the taxonomy prior to mapping to enhance coverage of the types of screening done in the pharmacy setting.
Results After the initial fine-tuning, journal content is autoassigned to topic collections automatically when published. After 2 years of utilizing this mapping and autocategorization process, 8 topic collection sets are being maintained for medical journal publishers. Topic collections are facilitating navigation to meaningful content, forming the basis for user alerts and RSS feeds to mobile applications, and helping publishers understand their users’ interest areas.
Example of Semantic team review worksheet for a cardiac journal Example of Public Health topic mapping strategy worksheet
For the same client, based on initial content review, the term medication education was added to enhance coverage for a Medication Management/Pharmaceutical Care topic.
Methods The Semantic team develops a customized client-specific mapping strategy for each topic within a topic collection. Steps include: • Understanding the scope of each topic, developed in collaboration with the client. • Analysis of existing taxonomy terms in relation to client’s unique content set. • Enhancing the biomedical taxonomy as needed. • Mapping the enhanced taxonomy to client’s topics. • Configuring topic weighting parameters and developing a client-specific stoplist in the tagging tool. • Semantic tagging sample content and testing the mapping strategy. • Further refinement of taxonomy, mapping, and weighting configuration. • Continual tagging and auto-assignment of topics as each journal issue is published.
Example of Medication Management/Pharmaceutical Care topic mapping strategy worksheet
The mapped terms populate the algorithm used to auto-assign topics during semantic tagging.The mapping algorithm supports basic Boolean logic and gives the option of including child terms thereby utilizing the taxonomy’s hierarchical trees. Example of new term in the Taxonomy Management Tool
Conclusion Successful ongoing assignment of journal content into topic collections is supported by a robust process of iterative review and refinement of both the underlying biomedical taxonomy and the mapping strategy.
Example of mapping of Diabetes Prevention topic in the Taxonomy Management Tool
Examples of topic weighting settings and calculations after semantic tagging
References 1Tamborini G, Fusini L, Gripari P, Muratori M, Cefalù C, Maffessanti F, Alamanni F, Bartorelli A, Pontone G, Andreini D, Bertella E, Fiorentini C, Pepi M. Feasibility and Accuracy of 3DTEE Versus CT for the Evaluation of Aortic Valve Annulus to Left Main Ostium Distance Before Transcatheter Aortic Valve Implantation. JACC Cardiovasc Imaging. 2012 Jun;5(6):579-88.
