Uncertainty Handling in Mobile Community Information Systems
Upcoming SlideShare
Loading in...5
×
 

Uncertainty Handling in Mobile Community Information Systems

on

  • 832 views

 

Statistics

Views

Total Views
832
Views on SlideShare
830
Embed Views
2

Actions

Likes
0
Downloads
6
Comments
0

1 Embed 2

http://www.linkedin.com 2

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Uncertainty Handling in Mobile Community Information Systems Uncertainty Handling in Mobile Community Information Systems Presentation Transcript

  • Oberseminar Yiwei Cao Informatik 5, RWTH Aachen 5 Uncertainty Handling in Mobile Community Information Systems Yiwei Cao March 22, 2012Lehrstuhl Informatik 5(Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-1
  • Oberseminar Yiwei Cao Agenda Introduction - Background and problem - Scenario - Uncertainty 2.0 Concept of the uncertainty handling models Technical realization of Virtual Campfire Model lid ti through Vi t l C M d l validation th h Virtual Campfire fi Conclusions and outlookLehrstuhl Informatik 5(Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-2
  • Oberseminar Background: Uncertainty in Yiwei Cao Database Research Representation of data uncertainty - Uncertainty is a term used in many research fields: philosophy, economics, finance, statistics, psychology, sociology, physics, engineering, artificial intelligence, information science, and computer science Web and mobile lead to uncertainty p y - Uncertainty is defined as a measure of the incompleteness of one’s knowledge or information about an unknown quantity whose true value could be established if aIntroduction perfect measuring device were available [CuFr99]Concepts - 4I representation of data uncertainty: incorrect, incomplete, imprecise, andRealization inconsistent information [KKMK09]Validation Advanced uncertainty databasesConclusions - Based on probabilistic theory, statistics, and fuzzy logic [AAB*03, KKMK09] - Examples: Orion [SMM*08], Trio [BSHW06] - Text and number-based objects multimedia has higher requirements - Data centered the user factor and context are not considered Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-3
  • Oberseminar Yiwei Cao Background of Concepts Web 2.0 - Social network sites for information sharing - User-generated content and tagging [Smit07, MNBD06, SLWa11] - Folksonomy instead of taxonomy [Orei05]IntroductionConcepts Community of PracticeRealizationValidation - Groups of people who share a concern or a passion for somethingConclusions they do and who interact regularly to learn how to do it better [ [Weng98] g ] - Mutual engagement p - Joint enterprise Lehrstuhl Informatik 5 (Information Systems) - Shared repertoire Prof. Dr. M. Jarke I5-Cao-0312-4
  • Oberseminar Uncertainty Scenario: Yiwei Cao Formula 1 Motor Race in Monaco reporter Photo experts? Lack of clarity, not lack of data [ y, [DaLe86] ] monte carlo monaco Fan community? chicane ? ferrari bmw curve-7 technician @twitter portIntroduction fairmontConcepts ? ?Realization 43°40′15″N start 7°17′52″EValidation like@facebook 43°44′23″N swimming-poolConclusions 7°25′38″E delete Source: http://en.wikipedia.org/wiki/File:Monte_Carlo_Formula_1_track_map.svg big-curve Semantics-related Context-related Community-related y Lehrstuhl Informatik 5 (Information Systems) Search for all photos shared by Ferrari fan community taken at my current location of Prof. Dr. M. Jarke I5-Cao-0312-5 Grand Prix 2004?
  • Oberseminar Yiwei Cao Aspects of Uncertainty 2 0 2.0 Context uncertainty - Uncertainty refers to poor quality of contextual data acquired directly from the environment - Geospatial, temporal, social/community, and technical e.g. measure or perception errors of mobile devices [HeIn04] 43°40′15″N 43°44′23″N 7 17 52 E 7°17′52″E 7 25 38 E 7°25′38″E Semantics uncertainty - Uncertainty refers to a large number of different meanings embedded in the sameIntroduction multimedia contentConcepts - Domain, richness, precision, and machine-readabilityRealization e.g. variety of metadata standards: general vs. domain specific metadata standards [Kosc03] e.g. e g GPS information (context) is mapped to another way of location name (semantics) fairmontValidationConclusions Community uncertainty - Uncertainty refers to various influences of user communities - Creation, management, search & retrieval, sharing, and recommendation e.g. users, esp. some amateurs annotate multimedia with false information (intentionally) curve-7 e.g. different communities have different interest and semantic ferrari reporter misunderstandings Lehrstuhl Informatik 5 (Information Systems) e.g. users use false operations on multimedia like@facebook Prof. Dr. M. Jarke I5-Cao-0312-6
  • Oberseminar Yiwei Cao Research Questions How to define, identify, and handle uncertainty 2.0 in mobile community , y, y y information systems? Which information processes may operate on multimedia semantics and context for uncertainty handling? Can we optimize usage of tags to reduce uncertainty in mobileIntroductionConcepts community information systems?Realization Which user roles are present in communities of practice and with whichValidation “practices” d th play? “ ti ” do they l ?Conclusions How do experts and amateurs interact on uncertainty handling in mobile community information systems? Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-7
  • Oberseminar Yiwei Cao Concept: Mind MapIntroductionConcepts VC StorytellingRealization maps Data Workflow Service managementValidation model model con VC Tagging nsists ofConclusions employs consists of results in Web ACIS 2.0 2 0 Uncertainty s Uncertainty models realizes demos handling Application CCPLE 2.0 aspects models Mobile YouTell G.A. based on n supports Web needs DS CoP ATLAS Afghan cultural 2.0 heritage researchers G.Averof Battleship Community museum managers Classic Chinese Poem learners Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-8
  • Oberseminar Yiwei Cao Starting Point: ATLAS Media Theory Media M di processing i operations [Jaeg02, SKJa02, Span07, Klam10]Introduction - Transcription (semantics)Concepts - Localization (context)Realization - Addressing (community)ValidationConclusions Conceptual information flow between media and communities iti Source: [Span07] Mobile and Web 2.0 aspects are not considered p Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-9
  • Oberseminar Uncertainty 2.0 Handling Model: Yiwei Cao Workflow for System Engineering 1. A common data set for user Database communities to manage Meta‐ data Semantization Meta‐ Tags Tags multimedia with context and semantic information WWW data Tags 1. Data storage g metadata management 2. Collaborative tagging 2. Semantics is enhanced via user generated tags in communities Conte of practices prIntroduction roduction extualizationConcepts 3. Multimedia artifacts withRealization reduced uncertainty are furtherValidation 4. Mobile adaptation 3. Community–based addressed to communities forConclusions storytelling storytelling Contextualization Stories 4. 4 Mobile devices enrich media capture ways and share adaptive multimedia A loop f mobile multimedia l for bil lti di Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke management I5-Cao-0312-10
  • Oberseminar Uncertainty 2.0 Handling Model: Yiwei Cao Data Management Model Community Contextualization based CoP Amount o multimedia decreases Uncertain decrease StorytellingIntroduction nty of SemanticsConcepts Management Collaborative Semantization TaggingRealization Context Management g esValidation Mobile ContextualizationConclusions Adaptation Metadata Management Semantization Contextualization Mobile Multimedia Data Management Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-11
  • Oberseminar Uncertainty 2.0 Handling: Yiwei Cao Mobile Adaptation CoPIntroduction Semantics SemanticsConcepts Management ManagementRealization Context Management gValidation Mobile ContextualizationConclusions Adaptation Metadata Management Mobile Multimedia Data Management Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-12
  • Oberseminar The Mobile Multimedia Yiwei Cao Adaptation Process 1. Interoperability is enhanced by multimedia metadata standards 2. 2 Metadata is converted into RDF via ontology based context modeling according to use context ontology-based 3. Context queries in SPARQL are executed based on context reasoning 4. Queried multimedia results are adapted onto mobile devices Multimedia   SPARQL metadata standardsIntroductionConcepts MPEG‐7Realization Ontology A Ontology B gy gyValidation Dublin Core D bli C OWLConclusions Mobile  Context RDFS Domain  multimedia  TV‐Anytime y Information RDF query results lt EXIF Lehrstuhl Informatik 5 (Information Systems) ... Prof. Dr. M. Jarke I5-Cao-0312-13
  • Oberseminar An Example of the Mapping Yiwei Cao between MPEG 7 and RDF MPEG-7 <rdf:RDF xmlns:rdf="... " xmlns:mpeg7="..."> <rdf:Description> p <urn:Description xsi:type="urn:SemanticDescriptionType" D i ti it " S ti D i ti T " <mpeg7:Description> <mpeg7:SemanticDescriptionType> xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <mpeg7:Semantics rdf:parseType="Resource"> <urn:Semantics> <mpeg7:SemanticBase> <urn:Label /> <mpeg7:SemanticPlaceType p g yp <urn:SemanticBase xsi:type="urn:SemanticPlaceType" S ti B it " S ti Pl T " xml/curve7.xml#SemanticPlaceType_user20091115"> id="SemanticPlaceType_user20091115"> <mpeg7:Place rdf:parseType="Resource"> <urn:Label> <mpeg7:GeographicPosition <urn:Name>curve 7</urn:Name> rdf:parseType="Resource"> p ypIntroduction <urn:Definition> monaco grand prix route</urn:Definition> D fi iti d i t / D fi iti <mpeg7:Point rdf:parseType="Resource">Concepts </urn:Label> <mpeg7:longitude>7.269449</mpeg7:longitude> <urn:Place> AutomaticRealization <mpeg7:latitude>43.83931</mpeg7:latitude> <urn:GeographicPosition> mapping <mpeg7:altitude>29.0</mpeg7:altitude> p g p gValidation <urn:Point altitude="29.0" latitude="43.83931" llongitude= P i t ltit d "29 0" l tit d "43 83931" it d </mpeg7:Point> "7.269449" /> </mpeg7:GeographicPosition>Conclusions </urn:GeographicPosition> </mpeg7:Place> </urn:Place> <mpeg7:Label rdf:parseType="Resource"> p g p yp </urn:SemanticBase> / S ti B <mpeg7:Definition>monaco grand prix route </urn:Semantics> </mpeg7:Definition> </urn:Description> <mpeg7:Name>curve 7</mpeg7:Name> </mpeg7:Label> ... Lehrstuhl Informatik 5 (Information Systems) </mpeg7:Semantics> ... Prof. Dr. M. Jarke </rdf:RDF> I5-Cao-0312-14
  • Oberseminar Yiwei Cao Context-aware Context aware Queries Querying multimedia context in SPARQL - Example: search for all photos taken at a certain curve Multimedia results are more precise - Semantics of multimedia artifacts is enriched via mapping of context and semantics - Ontology is applied for basic context reasoningIntroduction PREFIX mpeg7: <http://manet.informatik.rwth-aachen.de/~khodaei/mpeg7-v2.owl#>Concepts PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>Realization PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>Validation PREFIX fn: <http://www w3 org/2005/xpath functions#> <http://www.w3.org/2005/xpath-functions#> SELECT ?l ?alt ?fileConclusions WHERE { ?l mpeg7:Place ?r . ?r mpeg7:GeographicPosition ?r2 . ?r2 mpeg7:Point ?r3 . ?r3 mpeg7:altitude ?alt. ?l mpeg7:Label ?label . ?label mpeg7:Name "curve 7". ?l ?spt g g g mpeg7:SemanticPlaceType . ?mc mpeg7:SemanticBaseRef ?ll. ?des mpeg7:Semantic ?mc . ?des mpeg7:MediaInformation ?mi . ?mi mpeg7:MediaIdentification ?mid . ?mid mpeg7:EntityIdentifier ?file. FILTER (xsd:float(?alt) > 28.0). FILTER (STR(?l) = ?ll)} Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-15
  • Oberseminar Uncertainty Handling: Yiwei Cao Collaborative Tagging CoPIntroduction Semantics SemanticsConcepts Management Management Collaborative Semantization TaggingRealization Context Management gValidationConclusions Metadata Management Mobile Multimedia Data Management Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-16
  • Oberseminar Yiwei Cao Commsonomy Community as a new dimension for the tag space Commsonomy is a community-based folksonomy defined and used within and across communities of practice Media processing operations - Semantization: users tag resourcesIntroduction - C t t li ti users share Contextualization: hConcepts resources in communities Contex SemanRealization ntizationValidation xtulizationConclusions Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-17
  • Oberseminar Yiwei Cao Extended Commsonomy Model Tagging as an effective “practice” conducted in communities of practice [CKKR10] − Various Web 2.0 operations are different types of tagging activities 20 A role model to support amateurs and experts Focus on community requirementsIntroductionConceptsRealizationValidationConclusions Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-18
  • Oberseminar Yiwei Cao Web 2 0 Operations as Tagging 2.0 Goal: providing appropriate and “certain” media operations to user communities Represented in a t l of ( R t d i tuple f (user, operation, media, tag, community) ti di t it ) Operations are compound if the tags have restrictions, otherwise are simple User generated User-generated tags enrich multimedia semantics to handle uncertainty 2.0IntroductionConceptsRealizationValidationConclusions Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-19
  • Oberseminar Uncertainty Handling: Yiwei Cao Community-based Community based Storytelling Community Contextualization based CoP StorytellingIntroduction Semantics SemanticsConcepts Management ManagementRealization Context Management gValidationConclusions Metadata Management Mobile Multimedia Data Management Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-20
  • Oberseminar Community-Based Storytelling with a Yiwei Cao Role Model and Story Templates Storytelling is a compound media operation with multiple tag values - Digital storytelling combines narratives with digital content and produces digital stories in the form of a collection of multimedia [Robi07] - Storytelling for error and inconsistency detection [BaMu08 Have07] [BaMu08, Community based storytelling [CKMa08, CKJa10]Introduction - An effective practice in CoPConcepts - Template-based nonlinear storytellingRealization Movement Oriented Design (MOD)Validation Hero’s journeyConclusions - A role model for storytelling Domain experts Multimedia experts - New algorithms Lehrstuhl Informatik 5 User profile-based story search (Information Systems) Prof. Dr. M. Jarke Expert finding I5-Cao-0312-21
  • Oberseminar New Algorithm Based on Concepts: Yiwei Cao Profile-Based Profile Based Story Search TagsIntroductionConceptsRealizationValidationConclusions Uncertainty is reduced additionally Lehrstuhl Informatik 5 (Information Systems) - Users’ story rating Prof. Dr. M. Jarke I5-Cao-0312-22 - Users’ media tagging and story tagging
  • Oberseminar Validation: Virtual Campfire Mobile Yiwei Cao Community Information Systems SeViAnno Database D t b Meta‐ Datadata repository: cultural Semantization heritage, WebWWWuser 2.0 Meta‐ data Tags Tags Tags generated media etc. 1. Data storage metadata management 2. Collaborative taggingIntroduction Collaborative taggingConcepts Contextualization Contextualization produRealization uctionValidation YouTellConclusions Mobile Campfire 4. Mobile adaptation 3. Community –based storytelling Contextualization Stories Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Mobile adaptation and production Community-based storytelling I5-Cao-0312-23
  • Oberseminar Validating Virtual Campfire with Yiwei Cao Various Cultural Communities Afghan cultural heritage management community - Context and semantics mapping to engineer GIS community information systems - Employment o multimedia, cu u a , a d G S metadata s a da ds p oy e of u ed a, cultural, and GIS e ada a standards - Community multimedia access based on a role modelIntroduction The G k B ttl hi G Th Greek Battleship Georgios A i Averof management community f t itConcepts - Commsonomy for user communities to use semantics-rich tagsRealization - User profile-based story search for media selection p yValidation - Community-based role model, experts emerging from amateursConclusions Classical Chinese Poem learner community - Geo-tagging support - Various tagging approaches for learning content: multi-granular, Lehrstuhl Informatik 5 standard-based (Information Systems) Prof. Dr. M. Jarke - Community role model, game-based learning based on stories I5-Cao-0312-24
  • Tagging Practice for Afghan Cultural Heritage Management: SeViAnnoOberseminar Yiwei Cao Context: tight time schedule for cultural heritage researchers Semantics: diff S ti different iinterpretations of multimedia f t t t ti f lti di from diff different d t domain experts i t Community: Macro collaboration among worldwide usersIntroduction TaggingConcepts - Multi-granularRealization - MetadataValidation - Context-aware Conte t a areConclusions Micro Meso Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-25
  • Oberseminar Yiwei Cao SeViAnno Service Usage Context uncertainty - Map-based tagging (geo-tagging) Semantics uncertainty - MPEG-7 metadata standard-based tagging with multi-granularity Community uncertainty: users’ usage of different tagging approachesIntroduction - D Domain experts use metadata standard-based t i i t t d t t d d b d taggingConcepts - Amateurs use simple taggingRealizationValidationConclusions Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-26
  • Oberseminar Storytelling Practice for Battleship Yiwei Cao Georgios Averof: YouTell Context: the events with some temporal and spatial variants Semantics: a large amount of multimedia of the same event, even with description in ancient Greek Community: cooperation of interdisciplinaryIntroduction domain expertsConcepts A story example using the MovementRealization Oriented Design story templateValidation Mobile Campfire M bil C fiConclusions Community Tagging Production Storytelling management Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-27
  • Oberseminar Yiwei Cao YouTell Tag Usage Semantics uncertainty - Si l multimedia artifact t Single lti di tif t tags and story tags used iin story search d t t d t h Context uncertainty - Geo tagging and mapping to multimedia metadata Geo-tagging Community uncertaintyIntroduction - Domain experts have access to edit stories created by amateursConcepts - Story templates help amateurs tell good storiesRealization - Communities of practice cultivate experts and expert knowledgeValidationConclusions Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke Tags I5-Cao-0312-28
  • Oberseminar Yiwei Cao Conclusions How to define, identify, and handle uncertainty in mobile community , y, y y information systems? - Definition and identification of uncertainty 2.0 for mobile community information systems in th aspects of multimedia semantics, context, and community t i the t f lti di ti t t d it - Uncertainty 2.0 handling through a layer data management modelIntroduction - Engineering mobile community information systems with a workflow based on theConcepts concept of community of practiceRealization - Validation in Virtual Campfire with algorithms, services, and applicationsValidation Which information processes may operate on multimedia semantics andConclusions context for uncertainty handling? - S Semantization: media t ti ti di transcription, collaborative t i i ti ll b ti tagging - Contextualization: mobile adaptation, media localization, community addressing, community-based storytelling y y g Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-29
  • Oberseminar Yiwei Cao Conclusions Can we optimize usage of tags to reduce uncertainty in mobile community information systems? it i f ti t ? - Yes, commsonomy combines Web 2.0 and mobile community information systems - Experts’ tag usage reduces uncertainty Experts - Tagging optimizes Web 2.0 operations and is applied for system engineeringIntroduction Which user roles are present in communities of practice and with whichConcepts “practices” do they play?Realization - A comprehensive role model integrates amateurs and domain expertsValidation - Users practice tagging and storytelling for mobile multimedia managementConclusions How do experts and amateurs interact on uncertainty handling in mobile community information systems? it i f ti t ? - Amateurs collaborate with and learn from experts in CoP through various practices - Expert knowledge is collected in mobile data management with a common data Lehrstuhl Informatik 5 (Information Systems) repository for certain domains Prof. Dr. M. Jarke I5-Cao-0312-30
  • Oberseminar Yiwei Cao Outlook Storytelling for knowledge management in enterprises and organizations Augmented reality tagging Social network analysis for uncertainty 2.0 handling Validation of VC media operations and practices on mobile and Web 2.0 social network sitesIntroductionConcepts Enhancement of community support in interdisciplinary userRealization communities: entrepreneurship, journalists, etc.ValidationConclusions Lehrstuhl Informatik 5 (Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-31
  • Oberseminar Yiwei Cao Thank You QuestionsLehrstuhl Informatik 5(Information Systems) Prof. Dr. M. Jarke I5-Cao-0312-32