To　build　the　set　of　ontology　relations　automatically,　this　paper　presents　a　preliminary　study　on　a　concept　clustering　method　based　on　encyclopedia　entries　of　obtaining　semantic　relations　among　concepts.　Given　a　set　of　domain　ontology　concepts,　this　method　clusters　concepts　in　3　steps:　1)　obtaining　encyclopedia　entries;　2)　modeling　each　of　the　concepts　into　a　vector;　3)　clustering　concepts　using　the　distance　discrimination　method.　Clustering　experiments　on　3　sets　of　domain　ontology　concepts　demonstrate　that　the　proposed　method　shows　better　results　compared　with　classical　clustering　methods　and　has　good　potentials　for　identifying　related　concepts　automatically　in　the　ontology　building　tasks.　©　2017,　Editorial　Board　of　Journal　of　the　University　of　Electronic　Science　and　Technology　of　China.　All　right　reserved.