?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=OntoAna%3A+Domain+Ontology+for+Human+Anatomy&rft.creator=Vashisth%2C+Archana&rft.creator=Mathur%2C+Iti&rft.creator=Joshi%2C+Nisheeth&rft.subject=Artificial+Intelligence&rft.description=Today%2C+we+can+find+many+search+engines+which+provide+us+with+information+which+is+more+operational+in+nature.+None+of+the+search+engines+provide+domain+specific+information.+This+becomes+very+troublesome+to+a+novice+user+who+wishes+to+have+information+in+a+particular+domain.+In+this+paper%2C+we+have+developed+an+ontology+which+can+be+used+by+a+domain+specific+search+engine.+We+have+developed+an+ontology+on+human+anatomy%2C+which+captures+information+regarding+cardiovascular+system%2C+digestive+system%2C+skeleton+and+nervous+system.+This+information+can+be+used+by+people+working+in+medical+and+health+care+domain.&rft.date=2012-01&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F9063%2F1%2FOntoAna.pdf&rft.identifier=++Vashisth%2C+Archana+and+Mathur%2C+Iti+and+Joshi%2C+Nisheeth++(2012)+OntoAna%3A+Domain+Ontology+for+Human+Anatomy.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F9063%2F