{"title":"A method of services intelligent cooperative work for requirements based on integrated planning","authors":"Tian Jun-jie, Cui Lizhen","doi":"10.1109/JCPC.2009.5420128","DOIUrl":null,"url":null,"abstract":"With the number of web services increasing rapidly, we have to pay more attention to how to make full use of these services to meet the requirements of users. In this paper, we propose a method of services intelligent cooperative work for requirements based on integrated planning. The method gets requirements and domain knowledge based on domain ontology, builds a logical process using HTN planning based on the information that has been gotten before, and selects an instance of web service for every node in the logical process to meet the requirements. The selection of web services is represented by first-order logic satisfiability-based planning problem. We use hill climbing algorithm to solve this problem.","PeriodicalId":284323,"journal":{"name":"2009 Joint Conferences on Pervasive Computing (JCPC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Joint Conferences on Pervasive Computing (JCPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCPC.2009.5420128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the number of web services increasing rapidly, we have to pay more attention to how to make full use of these services to meet the requirements of users. In this paper, we propose a method of services intelligent cooperative work for requirements based on integrated planning. The method gets requirements and domain knowledge based on domain ontology, builds a logical process using HTN planning based on the information that has been gotten before, and selects an instance of web service for every node in the logical process to meet the requirements. The selection of web services is represented by first-order logic satisfiability-based planning problem. We use hill climbing algorithm to solve this problem.