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Enhancing Exploratory Search: Empowering Users with Semantic Navigation and Personalized Browsing

This publication discusses the evolution of exploratory search and its importance in understanding information retrieval. It highlights the need for effective tools and methodologies, such as faceted browsing and visual query construction, to enhance user engagement. The paper reviews various frameworks like the Semantic Web, Adaptive Web, and their implications on search engines. It addresses challenges such as information overload and emphasizes the necessity of user personalization. By focusing on user decision-making support, the study seeks to empower individuals in navigating complex information spaces efficiently.

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Enhancing Exploratory Search: Empowering Users with Semantic Navigation and Personalized Browsing

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Presentation Transcript

  1. What is Exploratory search? Gary Marchionini – EXPLORATORY SEARCH: FROM FINDING TO UNDERSTANDING, Com. of ACM, 2006

  2. VisGets: Exploration and Discovery

  3. Another example…

  4. The Semantic Web today • Semantically annotated data • Search engines • Sindice.com • Query builders • OpenLink • Basic browsing • Tabulator • Zitgist Viewer taken from linkeddata.org

  5. Tabulator: Browsing Linked Data

  6. The end-user perspective • Tools not aimed at information consumers • Complex query construction • Limited end-user exploration • Information overload • No default end-user grade visualization

  7. The broader web perspective • Adaptive Web (1996, 2001, 2007) • Semantic Web (2001, 2006) • Exploratory search (2006) • Social Web (2005) • Browser/search engine support for • Searching (autocomplete, query disambiguation) • Navigation (social tracks, other users visited …) • Visualization (highlighting, hiding)

  8. WI + IR + HCI WIRSS (2009) • WIRSS: currently insufficient user support • Automated information retrieval • Complex / gold plated interfaces • Need support for • User decision making • Effective “work” with in formation • You know why personalization is so important?Because it makes people feel they are important :)

  9. The beginnings • Faceted browsing of SW data (2005) • Search + navigation + visualization = exploration • Personalized faceted browsing (2007) • Provide search & navigation support • Reduce information overload • Cater to individual users

  10. Facet adaptation & recommendation

  11. “NextGen” Semantic Web Browser • Complex query construction  Visual query construction • Limited end-user exploration  Multi-paradigm exploration • Information overload  Personalized recommendation • No default visualization  Adaptive view generation

  12. Typical client web browser • Downloads and renders data from the Web • Tracks and visualizes user history • Supports custom plug-ins adding functionality, rendering data • Serves as a front-end to search services

  13. Revisiting the browser paradigm1 • End-user specific functionality in the browser • Visualization, layout, templates • Personalization and user modeling • Identity and profile management • End-user specific information in the browser • Personal profile information • User action logs • Derived user models

  14. Revisiting the browser paradigm2 • Facets and personalization as integral parts • Multiple search engine/repository front-end • Delegate querying, indexing and crawling services to third-party providers (Google, Sindice, DBPedia) • Integrated support for • Search (query construction & modification) • Navigation (guidance, annotation) • Exploration (content adaptation)

  15. You might have already seen this…

  16. Personalized faceted search

  17. Incremental graph exploration

  18. Content-specific content viewers

  19. Collaborative resource annotation

  20. Conclusions • Next Generation Web Browser (SW and LW) • Adaptive Social Semantic Web Exploration • Empowering end-users with access to semantic information spaces • Provides integrated support for • Search • Navigation • Exploration

  21. The Chicken or the Egg? • There may not be a killer application • End-user grade authoring tools • Manager Magic: • Complexity, feasibility, technology • ROI – Return on Investment(a.k.a. show me the money)

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