@inproceedings{184d014d8548441691f04260d920d9aa,
title = "AppNet: a large-scale multi-layer heterogeneous complex app network for intelligent program search",
abstract = "The resources of mobile application in the app stores contains a vast amount of code and knowledge, which is of great significance to intelligent program search technology, but how to organize and utilize these multi-source heterogeneous data efficiently and integrate semantic information is still a key problem. In this paper, WordNet based AppNet, a multi-layer heterogeneous complex app network model was proposed, it completely describes the hierarchical structure between app-related tags, attributes, and code and in which aims to explore its application in the intelligent program search. Firstly, we expound the construction mechanism of AppNet and describe how does it realize mapping with WordNet, and then two simple real application scenarios were conducted based on AppNet in which to verify its validity and feasibility. We believe that the proposed AppNet model will provide researchers with more efficient ideas in the field of intelligent software development and search.",
keywords = "App network, Ontology, Program search, Semantics",
author = "Jianmao Xiao and Shizhan Chen and Zhiyong Feng and Jian Yang",
year = "2019",
month = apr,
day = "10",
doi = "10.1007/978-3-030-17642-6_33",
language = "English",
isbn = "9783030176419",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-VDI-Verlag GmbH & Co. KG",
pages = "394--399",
editor = "Xiao Liu and Michael Mrissa and Liang Zhang and Djamal Benslimane and Aditya Ghose and Zhongjie Wang and Antonio Bucchiarone and Wei Zhang and Ying Zou and Qi Yu",
booktitle = "Service-Oriented Computing – ICSOC 2018 Workshops",
address = "Germany",
note = "16th International Conference on Service-Oriented Computing, ICSOC 2018 ; Conference date: 12-11-2018 Through 15-11-2018",
}