摘要翻译：
web服务的最新进展在企业对企业和企业对消费者的交互中发挥了重要作用。发现机制不仅用于寻找合适的服务，而且通过标准协议提供服务提供者和使用者之间的协作。静态web服务发现机制不仅耗时，而且需要持续的人工交互。提出了一种基于索引值和分类的动态web服务发现机制，通过时间戳从服务注册中心和存储库中找到相关的和更新的web服务，以实现更快、更高效的服务发现。该原型研究了服务质量问题，引入了本地缓存、服务分类、索引机制、CSP（约束满足问题）求解器、翻译器的老化和使用等概念。通过该算法的实现，评估了该框架的性能，证明了该方法的正确性。结果表明，该框架在web服务动态发现机制中具有更高的性能和准确性，解决了现有的基于服务质量的灵活性和可扩展性问题，并发现了更新和最相关的服务。
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英文标题：
《Indexer Based Dynamic Web Services Discovery》
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作者：
Saba Bashir, Farhan Hassan Khan, M.Younus Javed, Aihab Khan, Malik
  Sikandar Hayat Khiyal
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最新提交年份：
2010
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Recent advancement in web services plays an important role in business to business and business to consumer interaction. Discovery mechanism is not only used to find a suitable service but also provides collaboration between service providers and consumers by using standard protocols. A static web service discovery mechanism is not only time consuming but requires continuous human interaction. This paper proposed an efficient dynamic web services discovery mechanism that can locate relevant and updated web services from service registries and repositories with timestamp based on indexing value and categorization for faster and efficient discovery of service. The proposed prototype focuses on quality of service issues and introduces concept of local cache, categorization of services, indexing mechanism, CSP (Constraint Satisfaction Problem) solver, aging and usage of translator. Performance of proposed framework is evaluated by implementing the algorithm and correctness of our method is shown. The results of proposed framework shows greater performance and accuracy in dynamic discovery mechanism of web services resolving the existing issues of flexibility, scalability, based on quality of service, and discovers updated and most relevant services with ease of usage.
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PDF链接：
https://arxiv.org/pdf/1003.1504