An Architecture for Home Service Retrieval Based on Function Concept Ontology Wei M., Xu J., Yun H., Xu L. Presented by Jiannan Ouyang CS Department.

Slides:



Advertisements
Similar presentations
The 20th International Conference on Software Engineering and Knowledge Engineering (SEKE2008) Department of Electrical and Computer Engineering
Advertisements

Ch:8 Design Concepts S.W Design should have following quality attribute: Functionality Usability Reliability Performance Supportability (extensibility,
A Stepwise Modeling Approach for Individual Media Semantics Annett Mitschick, Klaus Meißner TU Dresden, Department of Computer Science, Multimedia Technology.
Towards Adaptive Web-Based Learning Systems Katerina Georgouli, MSc, PhD Associate Professor T.E.I. of Athens Dept. of Informatics Tempus.
Presented by: Thabet Kacem Spring Outline Contributions Introduction Proposed Approach Related Work Reconception of ADLs XTEAM Tool Chain Discussion.
Basics of Knowledge Management ICOM5047 – Design Project in Computer Engineering ECE Department J. Fernando Vega Riveros, Ph.D.
Planning for Flexible Integration via Service-Oriented Architecture (SOA) APSR Forum – The Well-Integrated Repository Sydney, Australia February 2006 Sandy.
1 © Ramesh Jain Social Life Networks: Ontology-based Recognition Ramesh Jain Contact:
Semantic Web and Web Mining: Networking with Industry and Academia İsmail Hakkı Toroslu IST EVENT 2006.
Sensemaking and Ground Truth Ontology Development Chinua Umoja William M. Pottenger Jason Perry Christopher Janneck.
An Approach for Configuring Ontology- based Application Context Model Chung-Seong Hong, Hyun Kim, Hyoung-Sun Kim Electronics and Telecommunication Research.
Annotating Documents for the Semantic Web Using Data-Extraction Ontologies Dissertation Proposal Yihong Ding.
ReQuest (Validating Semantic Searches) Norman Piedade de Noronha 16 th July, 2004.
ONTOLOGY-BASED INTERNATIONAL DEGREE RECOGNITION Vagan Terziyan, Olena Kaykova University of Jyväskylä, Finland Oleksandra Vitko, Lyudmila Titova (speaker)
TC100 1 Energy saving system for home appliances and home network devices - Part 1 : Architecture and requirements Korea Electronics Technology Institute.
Course Instructor: Aisha Azeem
Community Manager A Dynamic Collaboration Solution on Heterogeneous Environment Hyeonsook Kim  2006 CUS. All rights reserved.
Building an Application Server for Home Network based on Android Platform Yi-hsien Liao Supervised by : Dr. Chao-huang Wei Department of Electrical Engineering.
Knowledge Science & Engineering Institute, Beijing Normal University, Analyzing Transcripts of Online Asynchronous.
Smart Learning Services Based on Smart Cloud Computing
Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.
Improving Data Discovery in Metadata Repositories through Semantic Search Chad Berkley 1, Shawn Bowers 2, Matt Jones 1, Mark Schildhauer 1, Josh Madin.
Knowledge Mediation in the WWW based on Labelled DAGs with Attached Constraints Jutta Eusterbrock WebTechnology GmbH.
Model-Driven User Requirements Specification using SysML Authors: Michel dos Santos Soares, Jos Vrancken Source: Journal of Software(JSW), Vol. 3, No.
Špindlerův Mlýn, Czech Republic, SOFSEM Semantically-aided Data-aware Service Workflow Composition Ondrej Habala, Marek Paralič,
CONTI’2008, 5-6 June 2008, TIMISOARA 1 Towards a digital content management system Gheorghe Sebestyen-Pal, Tünde Bálint, Bogdan Moscaliuc, Agnes Sebestyen-Pal.
A Calendar Oriented Service for Smart Home Author : Yuan-Chih Yu, Shing-chem D. You, Dwen-Ren Tsai Sourse : Sixth International Networked Computing and.
TOWARDS INTEROPERABILITY IN TRACKING SYSTEMS: AN ONTOLOGY-BASED APPROACH Juan Gómez Romero Miguel A. Patricio Jesús García José M. Molina Applied A.I.
Lecture 9: Chapter 9 Architectural Design
A service-oriented middleware for building context-aware services Center for E-Business Technology Seoul National University Seoul, Korea Tao Gu, Hung.
MPEG-7 Interoperability Use Case. Motivation MPEG-7: set of standardized tools for describing multimedia content at different abstraction levels Implemented.
Of 33 lecture 10: ontology – evolution. of 33 ece 720, winter ‘122 ontology evolution introduction - ontologies enable knowledge to be made explicit and.
SemSearch: A Search Engine for the Semantic Web Yuangui Lei, Victoria Uren, Enrico Motta Knowledge Media Institute The Open University EKAW 2006 Presented.
Network Ontology Ramesh Subbaraman Soumya Sen UPENN, TCOM 799.
1 Ontology-based Semantic Annotatoin of Process Template for Reuse Yun Lin, Darijus Strasunskas Depart. Of Computer and Information Science Norwegian Univ.
Report on Intrusion Detection and Data Fusion By Ganesh Godavari.
PERVASIVE COMPUTING MIDDLEWARE BY SCHIELE, HANDTE, AND BECKER A Presentation by Nancy Shah.
RCDL Conference, Petrozavodsk, Russia Context-Based Retrieval in Digital Libraries: Approach and Technological Framework Kurt Sandkuhl, Alexander Smirnov,
Ontology Summit 2015 Track C Report-back Summit Synthesis Session 1, 19 Feb 2015.
Dimitrios Skoutas Alkis Simitsis
VIKEF – Take the VIKEF train towards smart services …
Mining fuzzy domain ontology based on concept Vector from wikipedia category network.
Scenarios for a Learning GRID Online Educa Nov 30 – Dec 2, 2005, Berlin, Germany Nicola Capuano, Agathe Merceron, PierLuigi Ritrovato
1 Teaching-Material Design Center An ontology-based system for customizing reusable Source: Computers and Education, Vol.46, Issue: 4, May, 2006, pp
A Context Model based on Ontological Languages: a Proposal for Information Visualization School of Informatics Castilla-La Mancha University Ramón Hervás.
10/24/09CK The Open Ontology Repository Initiative: Requirements and Research Challenges Ken Baclawski Todd Schneider.
Introduction to the Semantic Web and Linked Data
Trustworthy Semantic Webs Dr. Bhavani Thuraisingham The University of Texas at Dallas Lecture #4 Vision for Semantic Web.
Of 33 lecture 1: introduction. of 33 the semantic web vision today’s web (1) web content – for human consumption (no structural information) people search.
Volgograd State Technical University Applied Computational Linguistic Society Undergraduate and post-graduate scientific researches under the direction.
Faculty Faculty Richard Fikes Edward Feigenbaum (Director) (Emeritus) (Director) (Emeritus) Knowledge Systems Laboratory Stanford University “In the knowledge.
Application Ontology Manager for Hydra IST Ján Hreňo Martin Sarnovský Peter Kostelník TU Košice.
A Context Information Service using Ontology-Based Queries Ruaidhrí Power, Dave Lewis, Declan O’Sullivan, Owen Conlan, Vincent Wade Knowledge and Data.
Extending the MDR for Semantic Web November 20, 2008 SC32/WG32 Interim Meeting Vilamoura, Portugal - Procedure for the Specification of Web Ontology -
PolicyMorph: Interactive Policy Model Transformations for a Logical ABAC Framework Michael LeMay Omid Fatemieh Carl A. Gunter.
Personalized Recommendation of Related Content Based on Automatic Metadata Extraction Andreas Nauerz 1, Fedor Bakalov 2, Birgitta.
An Ontology-based Approach to Context Modeling and Reasoning in Pervasive Computing Dejene Ejigu, Marian Scuturici, Lionel Brunie Laboratoire INSA de Lyon,
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
A Portrait of the Semantic Web in Action Jeff Heflin and James Hendler IEEE Intelligent Systems December 6, 2010 Hyewon Lim.
Adaptive Faceted Browsing in Job Offers Danielle H. Lee
©2003 Paula Matuszek CSC 9010: AeroText, Ontologies, AeroDAML Dr. Paula Matuszek (610)
Ontology Evaluation Outline Motivation Evaluation Criteria Evaluation Measures Evaluation Approaches.
Databases and Database User ch1 Define Database? A database is a collection of related data.1 By data, we mean known facts that can be recorded and that.
A Context Framework for Ambient Intelligence
CCNT Lab of Zhejiang University
Pattern-Directed Programming
Software Quality Engineering
Web Ontology Language for Service (OWL-S)
ece 627 intelligent web: ontology and beyond
Ontology-Based Approaches to Data Integration
Presentation transcript:

An Architecture for Home Service Retrieval Based on Function Concept Ontology Wei M., Xu J., Yun H., Xu L. Presented by Jiannan Ouyang CS Department

Outline Background The Sematic of Home Service Function Concept Ontology Case Study Jiannan Ouyang, CS 5/18/2011

Smart Home Smart home is different than the traditional home on its ability to perform function by integrating appropriate appliances automatically. To facilitate integrating services for households intelligently, ontologies are essential, as they act as the format explicit specification for describing the services provided by networked devices, sensors, and other appliances. The ontology-based semantic approaches could integrate services according to the specification automatically Jiannan Ouyang, CS 5/18/2011

Concepts Ontology : formally represents knowledge as a set of concepts within a domain, and the relationships between those concepts. Domain Ontology: models a specific domain, which represents part of the world. Jiannan Ouyang, CS 5/18/2011

Context of Service Ontology Define context as the situational information of entities Concepts: device, person, time, place, etc Take action according to the states of context automatically Lack sematic information of service –Failure, new similar device, etc. Jiannan Ouyang, CS 5/18/2011

QoS-Related Service Ontology Model non-functional properties of a service –Cost, performance, reliability, etc Does not present functional information for each service hosted on the device –Minimal unit in smart home: device –Not suitable for versatile device with ulti-functions Jiannan Ouyang, CS 5/18/2011

Proposal Treat service as one logic device with specific function, and provides functional information for each atomic service hosted on device –One device with multiply services –One service implemented by multi-device Jiannan Ouyang, CS 5/18/2011

Proposal, Cont. Construct home service ontology –Analysis the context of home service –Abstract service-related concepts –Formalize the relations among the concepts –Construct function concept ontology Jiannan Ouyang, CS 5/18/2011

Context of Home Service External world Interpreted world Expected world Computer world Interpretation process Motivation process Design process Process of implementation Jiannan Ouyang, CS 5/18/2011

Home Service Ontology Seven service related concepts –Need, context, device, function,way, content, service –Need motivated by context –A service satisfies a need –A need satisfied by various service Jiannan Ouyang, CS 5/18/2011

Home Service Ontology, Cont Jiannan Ouyang, CS 5/18/2011

Home Service Ontology, Cont To satisfy a need Select a function Search service annotated by the function Operate relevant content Jiannan Ouyang, CS 5/18/2011

Categories of Service Function Jiannan Ouyang, CS 5/18/2011

Refinement of Function Jiannan Ouyang, CS 5/18/2011

Case Study Audible alarm of gas detective –gasDetectiveService() Gas security device –Audio services gasAlarmService on gas security device FMService on radio playService() Bludetooth loudspeaker Jiannan Ouyang, CS 5/18/2011

Home Area Network (HAN) Jiannan Ouyang, CS 5/18/2011

Service Register Jiannan Ouyang, CS 5/18/2011

Service Rtrieval Jiannan Ouyang, CS 5/18/2011

Service Invocation With format translatation Jiannan Ouyang, CS 5/18/2011

Conclusion Goal: automate the process from need motivation to service retrieval and invocation Proposes home service ontology to explicate the relations among concepts based on home service context analysis Construct function concept ontology by refining function concept to annotate the semantic of service Jiannan Ouyang, CS 5/18/2011

References An Architecture for Home Service Retrieval Based on Function Concept Ontology Wei Moji, Xu Jianliang, Yun Hongyan, Xu LinlinAn Architecture for Home Service Retrieval Based on Function Concept Ontology Ontology Based Service Modelling for Composability in Smart Home Environments Ioanna Roussaki, etlIoanna Roussaki An Ontology-Based Context Model in a Smart Home Eunhoe Kim and Jaeyoung Choi Eunhoe KimJaeyoung Choi Jiannan Ouyang, CS 5/18/2011

Thank you! Q & A Jiannan Ouyang, CS 5/18/2011