An Augmented Geospatial Service Web Based on QoS Constraints and Geospatial Service Semantic Relationships

服务质量 计算机科学 地理空间分析 移动QoS 服务(商务) Web服务 计算机网络 差异化服务 数据即服务 服务设计 服务发现 服务提供商 数据库 万维网 地理 业务 地图学 营销
作者
Fengying Jin,Rui Li,Jianyuan Liang,Xianyuan Zhang,Huaqiao Xing,Zhipeng Gui,Huayi Wu
出处
期刊:ISPRS international journal of geo-information [MDPI AG]
卷期号:11 (7): 357-357 被引量:1
标识
DOI:10.3390/ijgi11070357
摘要

The service network is capable of addressing large-scale service composition. However, existing service network works still have several limitations. Prior knowledge, such as expert-defined service chains, is not incorporated into the service network. QoS constraints are less considered in the service network, and thus the generated service chain does not always satisfy the optimal QoS constraints. Additionally, some basic services also require outputs to be used directly as inputs, which the service network cannot provide. To address these limitations, this paper proposes a geospatial service web (GSW) model named SR-QoS-GSW that incorporates service semantic relationships and QoS information. The SR-QoS-GSW model consists of atomic services and composite services that consider QoS, processing services, data services, and relationships among them. A SR-QoS-GSW prototype was developed using 570 atomic services and 27 composite services and evaluated using two case studies—a river network extraction and an urban housing selection. Then, the information entropy and time complexity between SR-QoS-GSW and the existing service network were compared. The results show that geospatial service chains can be created more efficiently by incorporating existing service chains as composite services. Integrating QoS information into the GSW would allow service composition algorithms to generate service chains that satisfy optimal QoS constraints. The outputs of services used as new inputs with additional self-matching relationships also give the service network greater flexibility. Finally, the analysis of the information entropy and time complexity verified the increased diversity and decreased the search space of the SR-QoS-GSW.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
1秒前
4秒前
宁123完成签到,获得积分10
4秒前
4秒前
不配.应助King采纳,获得20
5秒前
Emma发布了新的文献求助10
5秒前
5秒前
5秒前
柠檬完成签到,获得积分10
6秒前
钱兵完成签到,获得积分10
6秒前
负责吃饭完成签到,获得积分10
6秒前
茹果完成签到,获得积分10
7秒前
深情安青应助Lllll采纳,获得10
7秒前
7秒前
7秒前
7秒前
zhunzhunzhun完成签到,获得积分10
8秒前
9秒前
Q_Q发布了新的文献求助10
9秒前
lalala发布了新的文献求助10
9秒前
SciGPT应助Jinyi采纳,获得10
11秒前
选课发布了新的文献求助10
11秒前
充电宝应助laoli2022采纳,获得10
12秒前
12秒前
CodeCraft应助一直很安静采纳,获得10
12秒前
大模型应助科研小白采纳,获得10
13秒前
上官若男应助顾志成采纳,获得10
13秒前
13秒前
13秒前
sad发布了新的文献求助10
13秒前
14秒前
独特亦旋发布了新的文献求助10
14秒前
南佳给南佳的求助进行了留言
15秒前
无花果应助RosyBai采纳,获得10
15秒前
16秒前
16秒前
古的古的应助优美电脑采纳,获得10
16秒前
小鱼发布了新的文献求助10
17秒前
高分求助中
Востребованный временем 2500
The Three Stars Each: The Astrolabes and Related Texts 1500
Les Mantodea de Guyane 800
Mantids of the euro-mediterranean area 700
有EBL数据库的大佬进 Matrix Mathematics 500
Plate Tectonics 500
Igneous rocks and processes: a practical guide(第二版) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 遗传学 化学工程 基因 复合材料 免疫学 物理化学 细胞生物学 催化作用 病理
热门帖子
关注 科研通微信公众号,转发送积分 3411077
求助须知:如何正确求助?哪些是违规求助? 3014545
关于积分的说明 8864373
捐赠科研通 2702074
什么是DOI,文献DOI怎么找? 1481422
科研通“疑难数据库(出版商)”最低求助积分说明 684839
邀请新用户注册赠送积分活动 679351