{"title":"Representing user definable rules for decision making in The Single Location Surveillance Point","authors":"M. Nieminen, Tomi D. Räty","doi":"10.1109/RCIS.2009.5089274","DOIUrl":null,"url":null,"abstract":"The Single Location Surveillance Point (SLSP) is a multi-sensor surveillance system that supports human security personnel in monitoring a physical indoors location. The system's Logical Decision Making Server (LDMS) component features rule-based automated logical deduction capabilities used for detecting threats and reacting to them. We have constructed a representation format for user definable surveillance rules based on the Extensible Markup Language (XML), with the aim of providing a solution that is both human-readable and expressive enough to support the features of the SLSP system. The syntax is capable of representing complex logical rules consisting of multiple conditions and reactive actions. The design features a vocabulary for rule definition, specific to the capabilities of the SLSP system. A prototype rule set has been successfully developed as a part of an SLSP prototype implementation.","PeriodicalId":180106,"journal":{"name":"2009 Third International Conference on Research Challenges in Information Science","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Research Challenges in Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCIS.2009.5089274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The Single Location Surveillance Point (SLSP) is a multi-sensor surveillance system that supports human security personnel in monitoring a physical indoors location. The system's Logical Decision Making Server (LDMS) component features rule-based automated logical deduction capabilities used for detecting threats and reacting to them. We have constructed a representation format for user definable surveillance rules based on the Extensible Markup Language (XML), with the aim of providing a solution that is both human-readable and expressive enough to support the features of the SLSP system. The syntax is capable of representing complex logical rules consisting of multiple conditions and reactive actions. The design features a vocabulary for rule definition, specific to the capabilities of the SLSP system. A prototype rule set has been successfully developed as a part of an SLSP prototype implementation.