  Building patterns are important urban structures that reflect the effect of
the urban material and social-economic on a region. Previous researches are
mostly based on the graph isomorphism method and use rules to recognize
building patterns, which are not efficient. The knowledge graph uses the graph
to model the relationship between entities, and specific subgraph patterns can
be efficiently obtained by using relevant reasoning tools. Thus, we try to
apply the knowledge graph to recognize linear building patterns. First, we use
the property graph to express the spatial relations in proximity, similar and
linear arrangement between buildings; secondly, the rules of linear pattern
recognition are expressed as the rules of knowledge graph reasoning; finally,
the linear building patterns are recognized by using the rule-based reasoning
in the built knowledge graph. The experimental results on a dataset containing
1289 buildings show that the method in this paper can achieve the same
precision and recall as the existing methods; meanwhile, the recognition
efficiency is improved by 5.98 times.
