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Weinberger iceis2010 context-aware-search-architecture

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WEAVING THE WEB

Hadas Weinberger , Dan Kohen-Vacs
Holon Institute of Technology, Israel

We suggest an ontology-based framework for Web-based learning to be applied with Google Wave. The suggested framework – a model and a skeletal methodology, offers a new approach to Technology-Enhanced Learning, integrating Web 2.0 concepts and tools with advanced pedagogical models, using as platform the innovative Google Wave technology (hereby abbreviated GWave).
Our proposed framework is based on: a) an ontology of pedagogical concepts, b) Web 2.0 technologies, c) Web 2.0 notions of knowledge sharing, collaboration and contribution. The key concepts in the ontology are: a) pedagogical models, b) learning goals, c) collaborative learning scripts. The key steps in activating GWave-based collaborative learning environment are: 1) determining the learning goal, 2) mapping the learning goal to the appropriate pedagogical model, 3) enacting a collaborative pedagogical script embedded in the GWave environment (i.e., for supporting collaborative learning), and finally 4) applying a series of rules that help assess the collaborative learning script in accordance with the learning goals.
The suggested framework allows the selective application of a) Web- and Web 2.0 tools in accordance with the spectrum of technologies and methods available through GWave, b) the social construct, c) the pedagogical scenario (e.g., role-play, group inquiry, problem solving, competition, reaching to agreement, etc.) d) its enacting and e) evaluation.
GWave a serves as an umbrella application that facilitates and hosts not only a spectrum of Web 2.0 tools but also common other knowledge sharing features (e.g., media sharing). Web 2.00 tools (e.g., Blog, Wiki, Knowledge sharing systems, Mashup) allow the realization of a spectrum of learning- and teaching processes such as: planning (e.g., Mashup), editing (e.g., wiki, blog) and design (e.g., Learning object).


In order to allow a complete learning script lifecycle a theory is required to guide the design of a model and a methodology to instruct its realization. In this paper we suggest a) an upper-level ontology of pedagogical scenarios, b) a model and a skeletal methodology for the management of a learning scenario (i.e., that is integrated in the GWave architecture), and c) instantiations of this model demonstrated by two example scenarios.
There is much promise in the framework suggested here. First is overcoming shortages of Web 2.0 tools in the context of supporting learning script lifecycle. Second is enhancing the activity range of classic LMS beyond the (limited) collaboration allowed by these systems towards networking and collaboration, a user-centered approach to learning and a cost-free and widely available environment.
Two scripts are being illustrated through a single run-time embedded plug-in in GWave environment. The suggested framework will be tested for its feasibility and usefulness wi

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  • 1. Dr. Hadas Weinberger, Guzikov, O., Raby, K.Department of Instructional Systems,Holon Institute of Technology, IsraelICEIS, 2010, Funchal, Madeira
  • 2. AgendaSearch engines in contextThe need for context-aware searcharchitectureContext-Aware Search ArchitectureMethodology & ConclusionsReferences Weinberger et. al., ICEIS 2010, Madeira, Portugal 2
  • 3. What is abrowser?“.. Its were yousearch....“Google, whatelse?..”http://www.youtube.com/watch?v=o4MwTvtyrUQhttps://www.google.com/ jibyollee — April 30, 2009 — What is a browser? was the question we asked over 50 passersby of different ages and backgrounds in the Times Square in New York. Watch the many responses people came up with. Weinberger et. al., ICEIS 2010, Madeira, Portugal 3
  • 4. Search engines typologyPopularity-based SEs, e.g., Google – manipulating a hostPopularity-of other algorithms, e.g., statistical measures, Web-genreanalysis, clustering and categorization,Inclusive-meta SEs, e.g., Myriad, Quintura,Inclusive-Social - semantic SEs that draw on user’s contribution,e.g., Hakia, FreeBase,Semi-semantic, visualized SE, e.g., Clusty, QuinturaSemi-Semantic Web SEs, e.g., HakiaAnalytic SEs e.g., WolframAlpha SEs, A methodological approach to Web IR? Weinberger et. al., ICEIS 2010, Madeira, Portugal 4
  • 5. Triangular view of the Search interface Context? Weinberger et. al., ICEIS 2010, Madeira, Portugal 5
  • 6. AgendaSearch engines in contextThe need for context-aware search context-architectureContext-Aware Search ArchitectureMethodology & ConclusionsReferences Weinberger et. al., ICEIS 2010, Madeira, Portugal 6
  • 7. Instructing social participation Developing Learning Objects Practicing Exploratory Search Requirements: 1) Adaptation & Personalization of the search results 2) Precision & serendipity of search (robust) results Web: http://docs.google.com/View?id=ddmf89bs_2ckf9nghq Weinberger et. al., ICEIS 2010, Madeira, Portugal 7
  • 8. AgendaSearch engines in contextThe need for context-aware searcharchitectureContext-Context-Aware Search ArchitectureMethodology & ConclusionsReferences Weinberger et. al., ICEIS 2010, Madeira, Portugal 8
  • 9. CASA - design concept Query modification•Query type (i.e., • RecommendationSubject, Media, principles:Activity) identification • Question type (e.g., Popularity-based, What, Who, Where, semantic, visualized, How ) identification clustering, social. Etc. Requirements Search engines’ elicitation moderation Ontology layer Weinberger et. al., ICEIS 2010, Madeira, Portugal 9
  • 10. Search: the user’s perspective Ontology for social knowledge WH questions applications Towards enhanced Usabilty Weinberger et. al., ICEIS 2010, Madeira, Portugal 10
  • 11. A user-centered search process1. Search initialization – introducing query elements in the query box2. Query modification – identification of query element type, and adaptation of the question type3. Adapted-personalized search – assigning SE’s for the search Weinberger et. al., ICEIS 2010, Madeira, Portugal 11
  • 12. Recommendation principlesPopularity-based SE, e.g., Google – manipulating a host ofalgorithms, e.g., statistical measures, Web-genre analysis,clustering and categorization Introductory: ‘what’Social-semantic search engine, e.g., Hakia – referencingconcepts’ attributes Descriptive: ‘how’ & ‘ where’ Weinberger et. al., ICEIS 2010, Madeira, Portugal 12
  • 13. Recommendation principles (2)Semi-semantic, visualized SE, e.g., Clusty, Quintura –spreading across various domains Illustrative: Instance-level examples: ‘who’, ‘how’ and ‘where’ Instance-Analytic, semantic-, social-semantic or hybrid SE, e.g,FreeBase or Feedmil – focusing on applied aspects empoweredby users’ input Specific: ‘where and ‘how’ Weinberger et. al., ICEIS 2010, Madeira, Portugal 13
  • 14. Recommendation principles (3) Analytic SEs, e.g., WolframAlpha – categorizing, report and analysis generator Analytic: ‘what’, ‘how’, ‘when’ Weinberger et. al., ICEIS 2010, Madeira, Portugal 14
  • 15. “blog” – media – where Weinberger et. al., ICEIS 2010, Madeira, Portugal 15
  • 16. “blogging” – activity – how Weinberger et. al., ICEIS 2010, Madeira, Portugal 16
  • 17. AgendaSearch engines in contextThe need for context-aware searcharchitectureContext-Aware Search ArchitectureMethodology & ConclusionsReferences Weinberger et. al., ICEIS 2010, Madeira, Portugal 17
  • 18. Query (user need) : e.g., blog; Search Engine Type: Search Engine: Google online communities; Popularity-based Aspect (context): Scope Recommendation : i.e., extension options (content) Interactionresult screen: Outcome i.e., indicating the status of the current results with relation to Query types Feedback (based on syntactic – analytic analysis) as basis for recommendation For further Question type modification. WH What, When, Who, Where, Why, How
  • 19. ConclusionsGuidelines for interactive interface design – a modeland a methodology Considering the user’s context robust results & enhanced serendipityExample context-aware search interfaceRecommendation principles for SEs utilization incontext Personalized, adapted frameworkDesign Implications towards an improved user’s experience Weinberger et. al., ICEIS 2010, Madeira, Portugal 19
  • 20. Further research Enhanced Incorporatin user g AI & NLP experience ontological groundsExtendingthe empiricalevaluation Weinberger et. al., ICEIS 2010, Madeira, Portugal 20
  • 21. Thank youWeb PresenceE-mail Hadasw@hit.ac.ilBloghadasw@wordpress.com Weinberger et. al., ICEIS 2010, Madeira, Portugal 21
  • 22. ReferencesHochheiser H., and Lazar, J. (2007). HCI and Societal issues: A framework for engagement. InternationalJournal of Human-Computer Interaction, 23(3), 339-374.Kobsa, A., (2001). Generic user modeling systems. User modeling and user adapted interaction, 11, 49-63.Marchionini, G., White, R. (2007). Find what you need, understand what you find. International Journalof Human-Computer Interaction, 23(3), 205-237.Preece, J. and B. Shneiderman (2009). The Reader-to-Leader Framework: Motivating Technology-MediatedSocial Participation, AIS Transactions on Human-Computer Interaction, (1)1, 13-32Weinberger, H. (2010). Ontology for social knowledge applications (technical paper, HIT).Weinberger, H., and Kohen-Vacs, D. (2010). Weaving the Web. Web2.0, Hackney, R. and Evans, C. (chairs).Brunel Business School. Brunel University West London, UK.Weinberger, H. (2009). ECHO: A Layered Model for the Design of a Context-Aware Learning Experience. In:Handbook on Web 2.0, 3.0 and X.0: Technologies, Business, and Social Applications. San Murugesan (Ed.),Hershey, USA: IGI Global.Weinberger, H. (2008). WELL: Web-based Learner Library for eLearning 2.0. Proc. the 7th EuropeanConference on e-Learning (ECEL), Roy Williams (Ed.). Agia Napa, Cyprus, Vol. 2, 643-650.Weinberger, H., Te`eni, D., and Frank, J. A. (2008). KnowledgeEco: Ontology for the Domain of OrganizationalMemory. In: Handbook of Ontologies for Business Interaction. Peter Rittgen (Ed.). Hershey, USA: IGI Global.White, R.W., Kules B., and Bederson, B. (2005) Exploratory search interfaces: Categorization, clustering andbeyond. Communication of the ACM.Weinberger, H. Echo Site: http://sites.google.com/site/echosite/ Weinberger et. al., ICEIS 2010, Madeira, Portugal 22