Topic Maps Perspective
A perspective from the view of topic map as core

What

SolrSherlock is intended to be a Watson-like framework for research, question answering, and other purposes. The project is predicated on the use of a topic map as its primary information store, its primary resource for performing its tasks.

Why

Drawing partially from issues such as infoglut, large and growing collections of not-well-organized information resources, we differentiate between reading unstructured text at question-answering time and doing so before question-answering time.  Simply stated, the thesis here is that the use of a pre-compiled view of the literature will improve performance during task time in SolrSherlock.

How

Our approach is to build into  SolrSherlock a variety of machine reading agents which continuously build and maintain a topic map. An Apache Solr or SolrCloud installation hosts the topic map.
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Topic Maps Perspective
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