Document Search in SemanticVectors

It's easy to search for documents in SemanticVectors, by telling the search program to use an appropriate vector store. This means that there is no special class or interface for searching documents - this functionality is provided by enabling the more general freedom to take query terms and search over a variety of different vector stores.

The query file is set using the -queryvectorfile option and the search file is set using the -searchvectorfile options.

Searching for Documents using Terms

The default BuildIndex command build both term vectors (termvectors.bin) and document vectors (docvectors.bin). To search for document vectors closest to the vector for Abraham, you would therefore use the command:

java pitt.search.semanticvectors.Search -queryvectorfile termvectors.bin -searchvectorfile docvectors.bin Abraham

Using Documents as Queries

You can also use the document file as a source of queries. For example, to find terms most closely related to Chapter 1 of Genesis, you'd use

java pitt.search.semanticvectors.Search -queryvectorfile docvectors.bin -searchvectorfile termvectors.bin -matchcase bible_chapters/Genesis/Chapter_1

(With default settings, this brings up pretty generic terms like "unto", "i", "them, "have". Not exactly sure why this is so.)