Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Latent Semantic Search and Information Extraction Architecture   The motivation, concept, design and implementation of latent semantic search
for search engines have limited semantic search, entity extraction and property
attribution features, have insufficient accuracy and response time of latent
search, may impose privacy concerns and the search results are unavailable in
offline mode for robotic search operations. The alternative suggestion involves
autonomous search engine with adaptive storage consumption, configurable search
scope and latent search response time with built-in options for entity
extraction and property attribution available as open source platform for
mobile, desktop and server solutions. The suggested architecture attempts to
implement artificial general intelligence (AGI) principles as long as
autonomous behaviour constrained by limited resources is concerned, and it is
applied for specific task of enabling Web search for artificial agents
implementing the AGI.

14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas