  Using data mining techniques applied on emission line characteristics of Be
stars spectra we attempted to find new Be stars candidates in SDSS SEGUE
survey. The mid-resolution spectra of confirmed Be stars obtained from
VO-compatible archive of Ond\v{r}ejov observatory 2m telescope were transformed
to the spectral resolution of SDSS and important characteristics of emission
line profiles were estimated, to be used as a training base of supervised
learning methods. The obtained knowledge base of the characteristic shapes and
sizes of Be emission lines was finally used to identify new potential
candidates in SDSS spectral survey. The several newly found Be stars candidates
justify our approach and approve Astroinformatics as a viable research
methodology.
