Ontology-guided Health Information Extraction, Organization, and Exploration
Licong Cui · OhioLink ETD Center (Ohio Library and Information Network) · 2014
assignment method is introduced, combining Formal Concept Analysis (FCA) and semantic annotation using Unified Medical Language System (UMLS).A novel Conjunctive Exploratory Navigation Interface (CENI) is developed for exploring NetWellness health questions with health topics as dynamic and searchable menus, complementing keyword-based search.The effectiveness of CENI is evaluated through a comparative search-interface evaluation with crowdsourcing through Amazon Mechanical Turk (AMT), a new and valuable method to collect user evaluation data.Evaluation against manually created reference standard showed that the multi-topic assignment method attains an example-based precision of 0.849, recall of 0.774, and F 1 -measure of 0.782.CENI interface is comparatively evaluated against main-stream search modalities, and is favored by a nearly two to one margin over Google and other search methods.xxi