@article{(Open Science Index):https://publications.waset.org/pdf/9576,
	  title     = {An Ontology Based Question Answering System on Software Test Document Domain},
	  author    = {Meltem Serhatli and  Ferda N. Alpaslan},
	  country	= {},
	  institution	= {},
	  abstract     = {Processing the data by computers and performing
reasoning tasks is an important aim in Computer Science. Semantic
Web is one step towards it. The use of ontologies to enhance the
information by semantically is the current trend. Huge amount of
domain specific, unstructured on-line data needs to be expressed in
machine understandable and semantically searchable format.
Currently users are often forced to search manually in the results
returned by the keyword-based search services. They also want to use
their native languages to express what they search. In this paper, an
ontology-based automated question answering system on software
test documents domain is presented. The system allows users to enter
a question about the domain by means of natural language and
returns exact answer of the questions. Conversion of the natural
language question into the ontology based query is the challenging
part of the system. To be able to achieve this, a new algorithm
regarding free text to ontology based search engine query conversion
is proposed. The algorithm is based on investigation of suitable
question type and parsing the words of the question sentence.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {6},
	  year      = {2009},
	  pages     = {1630 - 1634},
	  ee        = {https://publications.waset.org/pdf/9576},
	  url   	= {https://publications.waset.org/vol/30},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 30, 2009},
	}