An extensible and personalized approach to QoS-enabled service discovery

被引：0

作者：

Vu, Le-Hung ^{[1
]}

Porto, Fabio ^{[1
]}

Aberer, Karl ^{[1
]}

Hauswirth, Manfred ^{[2
]}

机构：

[1] Swiss Fed Inst Technol, CH-1015 Lausanne, Switzerland

[2] Univ KwaZulu Natal, Digital Enterprise Res Inst, Galway, Ireland

来源：

IDEAS 2007: 11TH INTERNATIONAL DATABASE ENGINEERING AND APPLICATIONS SYMPOSIUM, PROCEEDINGS | 2007年

基金：

瑞士国家科学基金会; 爱尔兰科学基金会;

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present an extensible and. customizable framework for the autonomous discovery of Semantic Web services based on their QoS properties. Using semantic technologies, users can specify the QoS matching model and customize the ranking of services flexibly according to their preferences. The formal modeling of the discovery process as a query execution plan facilitates the introduction of different discovery algorithms and the automatic generation of parallelized matchmaking evaluations. This enables adapting our approach to unpredictable arrival rates of user queries and scales up to high numbers of published service descriptions.

引用

页码：37 / +

页数：2

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