Why Build Custom Categorizers Using Boolean Queries Instead of Machine Learning? Robert Wood Johnson Foundation Case Study

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Title Why Build Custom Categorizers Using Boolean Queries Instead of Machine Learning? Robert Wood Johnson Foundation Case Study
Creator Busch, Joseph
Bliss, Vivian
Description This presentation will cover a case study for using Boolean queries to scope custom categories, provide a Boolean query syntax primer, and then present a step-by-step process for building a Boolean query categorizer. The Robert Wood Johnson Foundation (RWJF) is the largest philanthropy dedicated solely to health in the United States. Taxonomy Strategies has been working with RWJF to develop an enterprise metadata framework and taxonomy to support needs across areas including program management, research and evaluation, communications, finance, etc. We have also been working with RWJF on methods to apply automation to support taxonomy development and implementation within their various information management applications. Machine learning has become a popular and hyped method promoted by large information management application vendors including Microsoft, IBM, Salesforce and others. The problem is that machine learning is opaque. The benefit is that you don’t need to do any preparation, content just gets processed. The problem is that the categories are generic, may be irrelevant, can be biased, and are difficult to change or tune. Pre-defined categories (e.g., a controlled vocabulary or taxonomy) plus Boolean queries to scope the context for categories are much more transparent. The benefit is relevant categories. The problem is that pre-defined categories requires work to set up, and specialized skills. But how hard is it do this?
Publisher Dublin Core Metadata Initiative
Date 2018-11-05
Type info:eu-repo/semantics/article
Presentations on Metadata
Format application/pdf
Identifier https://dcpapers.dublincore.org/pubs/article/view/3981
Source International Conference on Dublin Core and Metadata Applications; DC-2018--The Porto, Portugal Proceedings; 51-55
Language eng
Relation https://dcpapers.dublincore.org/pubs/article/view/3981/2183
Rights Copyright (c) 2018 International Conference on Dublin Core and Metadata Applications

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