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Energy-saving offices require autonomous and optimised control of integrated devices and appliances with the objective of saving energy while the occupant comfort and productivity are preserved. We propose an approach that analyses and controls an office space and accounts for the objectives of energy-saving offices. The approach considers ontology-based occupant activity recognition using simple sensors to process the context information, and employs Artificial Intelligence planning to control appliances. The approach is evaluated in a semi-simulated setting. The activity recognition strategy is tested in an actual living lab and shows recognising accuracy of about 80%. The planning technique is able to cope efficiently under a simulated and increasing number of offices and recognised activities. The overall solution shows intriguing potential for energy saving in the order of 70%, given mostly sunny days and a provisional set of devices for experimentation. [ABSTRACT FROM PUBLISHER]

With the increasing number of web services available on the internet, the need for automated web services composition is becoming more and more important. A number of approaches have been proposed to tackle this problem. In this paper, we firstly summarize existing web service composition approaches, and then we present a service classification management mechanism to organize web services more efficiently and accurately. Finally, we design an automated web services composition system, which consists of two main parts: service management subsystem and service provision subsystem. The service management part is based on the service classification management mechanism, and service provision part is to meet the need of users' request by AI Planning. [ABSTRACT FROM PUBLISHER]

As Web services play an important role in today's SOA based software, composition of Web service has received much interest to support business-to-business application integration. With growing numbers of Web services have been developed, automatic service composition is required because it's beyond the human's ability to composite Web services manually. In this paper we first go over the recent research efforts and related works of automatic Web service composition. Then we give a brief description of our automatic Web service framework. And finally, we proposed a semantic web based composition algorithm which is historical sensitive. This algorithm uses history semantic data to improve the efficiency of traditional composition algorithms. [ABSTRACT FROM PUBLISHER]

This paper presents the experience gained on semantic web service composition technique applied to the bioinformatics domain. Specifically, the approach presented here consists of knowledge retrieval perspective in biological pathway. Semantic web services, annotated with domain ontology are used to describe services for pathway knowledge retrieval for Kyoto Encyclopedia of Gene and Genomes (KEGG) database. Retrieving knowledge can be seen as high level goals and the tasks involved can be decomposed into subtask to achieve the specified goals. We execute the composition of service by treating composition as planning problem using Hierarchical Task Network (HTN) planning system based on Simple Hierarchical Order Planner 2 (SHOP2). The approach for plan (task) decomposition using SHOP2 is implemented in automated way. We investigate the effectiveness of this approach by applying real world scenario in pathway information retrieval for Lactococcus Lactis (L. lactis) organism where biologists need to find out the pathway description from the given specific gene of interest. [ABSTRACT FROM PUBLISHER]