1. Context-Awareness 2. Context-Aware Service 3. Context-aware mobile computing 4. Semantic Technology

Transcription

1 상황인지사례와시맨틱기술 (1)

2 1. Context-Awareness 2. Context-Aware Service 3. Context-aware mobile computing 4. Semantic Technology

3 Conceptual Framework for Pervasive Context-Awareness Basic elements of a pervasive computing environment

4 Ubiquitous needs Context-Awareness It has been widely considered that needs for context-aware applications will increase as ubiquitous computing era comes Conventional Computing Paradigm Context-aware Computing Paradigm Select service and request explicitly computers HAPPY! Automatically offer preferable services computers TROUBLESOME user user provide services collect ambient info Users need to use computers actively to process tasks Computers offer appropriate services using ambient information Source: Shigetoshi, Eiji, Shigeki, "An Anonymous Context Aware Access Control Architecture"

5 Ubiquitous Computing vs Context-aware Computing

6 Layered conceptual architecture of context frameworks Sensors layer physical or hardware virtual sensors logical sensors Raw data retrieval layer drivers or sensor APIs Pre-processing layer Interpretation, aggregation, and reasoning Storage and Management layer context repository Application layer Source: Matthias Baldauf, Schahram Dustdar, and Florian Rosenberg. A survey on context-aware systems.

7 1. Context-Awareness 2. Context-Aware Service 3. Context-aware mobile computing 4. Semantic Technology

8 MarcoPolo (1/2) It is a service for Mac OS X that changes system settings for higher comfort based on your location and your surrounding and its changes.

9 MarcoPolo: Scenario (2/2)

10 Cisco: Context-Aware Solution (1/2) It is specialized for tasks like Zone or inventory management, Asset tracking, Condition tracking, Presence, Network location services.

11 Cisco: Context-Aware Software (2/2)

12 AmbieSense (1/3) The context model for the system is part of the ongoing EU founded AmbieSense research project. Source: Anders Kofod-Petersen and Agnar Aamodt

13 AmbieSense: Context Model (2/3) A part of the Airport domain model

14 AmbieSense: Case Based Reasoning (3/3) To solve new problem by remembering a previous similar situation, and by reusing information and knowledge of that situation.

15 1. Context-Awareness 2. Context-Aware Service 3. Context-aware mobile computing 4. Semantic Technology

16 Context-aware mobile computing Our two-step approach gathers data using wearable sensors. Context Classifier identifies typical contexts and classifies acquired signals. The Preference Learner relates the user s device interactions to their current context and can provide feedback to the Context Classifier. Source: Andreas Krause, Asim Smailagic, Context-aware mobile computing

17 Example: Nokia Situations (1/5) It senses data from scheduler, location, connectivity and react on it

18 Example: Nokia Bots (2/5) Nokia Bots is a collection of add-ons that autonomously learn your personal preferences, and improve user experience with new, customized features and tricks. Shortcut Bot

19 Example: Locale (3/5) Locale's advanced artificial intelligence manages settings automatically. For example: arrive at work and instantly your ringer silences, your wallpaper snaps to that scenic Caribbean photo, and Wi-Fi switches on.

20 Example: Sweet Dreams (4/5) Sweet Dreams is a revolutionary tool that will finally allow you to go to sleep without worrying about changing your phone settings in order to avoid unwelcome late night calls.

21 Example: Patent (5/5) <Apple> 사용자움직임정도에따른폰트크기조절 <Google> 폰움직임으로상황예측하여메뉴종류변경

22 A Machine Learning Based Framework for Adaptive Mobile Learning Basic elements of a user adaptive system Source: Ahmed Al-Hmouz, Jun Shen, and Jun Yan

23 1. Context-Awareness 2. Context-Aware Service 3. Context-aware mobile computing 4. Semantic Technology

24 Introduction to Semantic Technology Semantics is the study of meaning Semantic Technology utilizes meanings of computational data It represents meaning separately from data content and application code, and establishes a common format for combining information from various sources of data

25 Semantic Technology Example Source: Mark Kaplun (FAA)

26 Semantic Technologies Source: Mills & Davis

27 R&D themes in the semantic wave Source: TopQuadrant

28 National Semantic Technology Roadmap Semantic Knowledge Representation and Reasoning, Semantic Multi-Agent Systems, Semantic Infrastructure, Intelligent User Interface, Semantic Visualization, Multimodal Understanding, Semantic User Experience, World-Wide Semantic Web, Semantic Knowledge Discover Source: MIMOS Berhad

29 Applications of semantic technology Source: Saltlux

30 Semantic Web A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Source: Project10

31 Example: NAVER, NATE

32 Example: Qrobo 카테고리에따른시맨틱검색엔진

33 Example: 민원정보의미기반검색 찾고자하는민원정보와의미적으로연관된관련정보들을검색하여제공 Source: Saltlux

34 Ontology technology Example: CoreOntology 국가 IT 온톨로지인프라기술개발 ( ~ )

35 Ontology-based Semantic Service Example: Kontti A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities. Source: VTT LIF : Location interoperability forum MMS : Multimedia Messaging Service PPG : Push Proxy Gatewa

36 Ontology-based Semantic Recommendation Example Ontology-based Approach for Mobile Personalized Recommendation besides Xu Yingchen,East China Normal University, Services Science, Management and Engineering, SSME '09. IITA International Conference on AMPR : Approach for Mobile Personalized Recommendation UDPO : User Dynamic Preference Ontology

37 Ontology-based Context Modelling Example A Context Model based on Ontological Languages: a Proposal for Information Visualization Ramón Hervás, José Bravo, Jesús Fontecha,Journal of Universal Computer Science, vol. 16, no. 12 (2010) A generic and adaptable context model Upper-level Context level Two-Dimensional Context Taxonomy

38 Example: User Model

39 Example: Device Model

40 Example: Environment Model E-2

41 Example: Service Model E-1

42 Summary Context awareness originated as a term from ubiquitous computing or as so-called pervasive computing which sought to deal with linking changes in the environment with computer systems, which are otherwise static. Context-aware computing is a mobile computing paradigm in which applications can discover and take advantage of contextual information. Semantic Technology plays pivotal role in developing software applications that are meaning-centric, rather then data-centric. Ontologies can provide an interrelated library of knowledge that when used with semantic web tools and technologies END