OpenHPI 1.4 - The Limits of the Web (continued)

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Free online Lecture "Semantic Web Technologies" at OpenHPI. Visit the Course website, registration is free. You will find the lecture recordings as mp3 and also as video at https://openhpi.de/course/semanticweb

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OpenHPI 1.4 - The Limits of the Web (continued)

  1. 1. Semantic Web Technologies Lecture 1: The Web of Data 04: The Limits of the Web (continued) Dr. Harald Sack Hasso Plattner Institute for IT Systems Engineering University of Potsdam Spring 2013This file is licensed under the Creative Commons Attribution-NonCommercial 3.0 (CC BY-NC 3.0)
  2. 2. 2 Lecture 1: The Web of Data Open HPI - Course: Semantic Web Technologies Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  3. 3. Next sect ion3 04: The Limits of the Web (continued) OpenHPI - Course Semantic Web Technologies - Lecture 1: The Web of Data Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  4. 4. 4 Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  5. 5. 5Problem 1: Information Retrieval Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  6. 6. 6 •traditional keyword-based search leads to many not relevant results •different meanings •polysemy •different contextsProblem 1: Information Retrieval Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  7. 7. 7 Jaguar Panthera Onca •traditional keyword-based search does not find all results •synonyms and metaphors •missing context definitionProblem 1: Information Retrieval Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  8. 8. What doe8 s the inf ormation mean? Problem 2: Information Extraction Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  9. 9. 9 What doe s the inf ormation mean? Problem 2: Information Extraction Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  10. 10. 10 Information Extraction •can only be solved ,correctly‘ by a human agent •heterogeneous distribution and order of information •Software agent does not have sufficient •knowledge of contexts •world knowledge and •experience •to solve the problem Problem 2: Information Extraction Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  11. 11. •implicit knowledge, i.e. information does not have specified explicitely, but must be11 Problemfeld 2: Informationsextraktion derived via logical deductions from available information. Problem 2: Information Extraction Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  12. 12. 12 •the more complex and voluminous a website, the more complicated is the maintenance of the only weakly structured data. •Problems: •syntactic and semantic (link) consistency •correctness Problem 3: Maintenance •timeliness Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  13. 13. •Adaption of the presented information content to personal requirements13 •Problems: •from where do we get the required (personal) information? •personalization vs. data security Problem 4: Personalization Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  14. 14. 14 GAME OVER Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
  15. 15. Next sect ion15 05: The Vision of the Semantic Web OpenHPI - Course Semantic Web Technologies - Lecture 1: The Web of Data Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam

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