  In this paper, we describe the construction of TeKnowbase, a knowledge-base
of technical concepts in computer science. Our main information sources are
technical websites such as Webopedia and Techtarget as well as Wikipedia and
online textbooks. We divide the knowledge-base construction problem into two
parts -- the acquisition of entities and the extraction of relationships among
these entities. Our knowledge-base consists of approximately 100,000 triples.
We conducted an evaluation on a sample of triples and report an accuracy of a
little over 90\%. We additionally conducted classification experiments on
StackOverflow data with features from TeKnowbase and achieved improved
classification accuracy.
