A hybrid semantic-based Battlefield Information Services matching algorithm

As the number of Battlefield Information Services (BISs) published on the registration center is growing up, matching techniques must be improved so as to retrieve more desirable services. But most of the proposed service matching algorithms have unsatisfied performance on the precision of service matching result because of the limitation caused by the roughly dividing of matching levels and neglecting the semantic asymmetry in similarity computation. In order to overcome such problems, combining logical reasoning and similarity computation, this paper proposed a hybird service matching algorithm for BISs, which makes matching levels unrestrictedly divided and the result more accurate. The algorithm can filter out the pseudo-matching services effectively and offer considerable saving in the battlefield bandwidth resources. Compared to other service matching algorithms, the experiment results showed that the approach could increase recall and precision ratio.