Ontology-Driven Pervasive Service Composition for Everyday Life

被引：0
作者：
Zhou, Jiehan [1 ]
Gilman, Ekaterina [1 ]
Riekki, Jukka [1 ]
Rautiainen, Mika [1 ]
Ylianttila, Mika [1 ]
机构：
[1] Univ Oulu, Dept Elect Engn, Comp Sci & Engn Lab, FI-90014 Oulu, Finland
来源：
LEVERAGING APPLICATIONS OF FORMAL METHODS, VERIFICATION, AND VALIDATION, PT I | 2010年 / 6415卷
关键词：
pervasive computing; service computing; semantic Web services; ontology;
D O I：
10.1007/978-3-642-16558-0_32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Incorporating service composition and pervasive computing into managing user's everyday activities gives rise to the paradigm of Pervasive Service Composition for everyday life. This paper presents a novel generic model for services supporting everyday activities. The resulting service composition consists of local services within service peers and services are executed as specified in peer coordination and service collaboration. We suggest a task-based, pervasive, semantic, and P2P-based approach for service composition for everyday life. We first address these fundamental characteristics. We give terminologies related to service composition, pervasive computing, ontology, and Pervasive Service Composition. Secondly, we analyze requirements for describing everyday activities. To meet the requirements we design an initial ontology model for capturing user's everyday activity and accommodating peer coordination and service collaboration in Pervasive Service Composition. Finally, we classify existing approaches to Web service composition.
引用
收藏
页码：375 / 389
页数：15
相关论文
共 50 条
  • [41] A Personalized Model for Ontology-driven User Profiles Mining
    Wei, Cuncun
    Huang, Chongben
    Tan, Hengsong
    2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT UBIQUITOUS COMPUTING AND EDUCATION, 2009, : 484 - 487
  • [42] Towards a Comprehensive Ontology-Driven Software Development Approach
    Mavetera, Nehemiah
    INNOVATION AND KNOWLEDGE MANAGEMENT: A GLOBAL COMPETITIVE ADVANTAGE, VOLS 1-4, 2011, : 393 - 402
  • [43] Semantic granularity in ontology-driven geographic information systems
    Fonseca, F
    Egenhofer, M
    Davis, C
    Câmara, G
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2002, 36 (1-2) : 121 - 151
  • [44] Semantic Granularity in Ontology-Driven Geographic Information Systems
    Frederico Fonseca
    Max Egenhofer
    Clodoveu Davis
    Gilberto Câmara
    Annals of Mathematics and Artificial Intelligence, 2002, 36 : 121 - 151
  • [45] An Ontology-driven Visual Question-Answering Framework
    Besbes, Ghada
    Baazaoui-Zghal, Hajer
    Ben Ghezela, Henda
    2015 19TH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION IV 2015, 2015, : 127 - 132
  • [46] Ontology-Driven Information Systems: Past, Present and Future
    Uschold, Michael
    FORMAL ONTOLOGY IN INFORMATION SYSTEMS, 2008, 183 : 3 - 18
  • [47] ONTOLOGY-DRIVEN PRODUCT CONFIGURATION Industrial Use Case
    Smirnov, Alexander
    Shilov, Nikolay
    Kashevnik, Alexey
    Jung, Thomas
    Sinko, Mario
    Oroszi, Andreas
    KMIS 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE MANAGEMENT AND INFORMATION SHARING, 2011, : 38 - 47
  • [48] Ontology-driven Requirements Engineering With Reference to the Aerospace Industry
    Kossmann, Mario
    Gillies, Andrew
    Odeh, Mohammed
    Watts, Stephen
    2009 SECOND INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES (ICADIWT 2009), 2009, : 95 - 103
  • [49] Ontology-driven Device Descriptions for IoT Network Management
    Sahlmann, Kristina
    Scheffler, Thomas
    Schnor, Bettina
    2018 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS), 2018, : 295 - 300
  • [50] Ontology-Driven Shopping Cart and Its Comparative Analysis
    Vardhan, Aditya
    Chaturvedi, Amrita
    INFORMATION, COMMUNICATION AND COMPUTING TECHNOLOGY, 2017, 750 : 156 - 167
12345