It integrates deep semantic features extracted from service descriptions by an improved recurrent convolutional neural network and service composability features obtained from service invocation relationships by a signed graph convolutional network, to jointly generate integrated implicit features for web service ...
Sep 23, 2020 · It integrates deep semantic features extracted from service descriptions by an improved recurrent convolutional neural network and service ...
Multiple layers and training process of the recurrent convolutional neural network for the extraction of service integrated implicit feature. ZOU ET AL.: ...
We propose a novel heuristics-based framework DeepWSC for web service clustering. It integrates deep semantic features extracted from service descriptions.
It integrates deep semantic features extracted from service descriptions by an improved recurrent convolutional neural network and service composability ...
In order to cluster web services effectively, within this method, a signed graph convolutional network is used to extract service composability characteristics ...
Deepwsc: Clustering web services via integrating service composability into deep semantic features. G Zou, Z Qin, Q He, P Wang, B Zhang, Y Gan. IEEE ...
Deepwsc: Clustering web services via integrating service composability into deep semantic features. G Zou, Z Qin, Q He, P Wang, B Zhang, Y Gan. IEEE ...
We propose a novel web service clustering method to vectorize documents based on the semantic similarity, which can be calculated via WordNet and ...
Deepwsc: Clustering web services via integrating service composability into deep semantic features. IEEE Transactions on Services Computing, Vol. 15, No. 4 ...