1.4 The Limits of the (current) Web - Part 2

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1.4 The Limits of the (current) Web - Part 2

  1. 1. This file is licensed under the Creative Commons Attribution-NonCommercial 3.0 (CC BY-NC 3.0)This file is licensed under the Creative Commons Attribution-NonCommercial 3.0 (CC BY-NC 3.0) Dr. Harald Sack Hasso-Plattner-Institut for IT Systems Engineering University of Potsdam Spring 2014 Knowledge Engineering with Semantic Web Technologies Lecture 1: Knowledge Engineering and the Web of Data 04: The Limits of the (current) Web, Part 2
  2. 2. Semantic Web Technologies , Dr. Harald Sack, Hasso Plattner Institute, University of Potsdam Lecture 1: Knowledge Engineering and the Web of Data 2 Open HPI - Course: Knowledge Engineering with Semantic Web Technologies
  3. 3. Semantic Web Technologies , Dr. Harald Sack, Hasso Plattner Institute, University of Potsdam 3 OpenHPI - Course Knowledge Engineering with Semantic Web Technologies Lecture 1: Knowledge Engineering and the Web of Data 04: The Limits of the (current) Web Pt.2
  4. 4. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 4
  5. 5. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 5 Problem 1: Information Retrieval
  6. 6. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 6 Problem 1: Information Retrieval • traditional keyword-based search leads to many not relevant results • due to different meanings • polysemy (ambiguity) • different contexts
  7. 7. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 7 • traditional keyword-based search does not find all results • synonyms and metaphors • missing context definition Jaguar Panthera Onca Problem 1: Information Retrieval
  8. 8. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 8 Problem 2: Information Extraction What does the information mean?
  9. 9. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam Problem 2: Information Extraction 9 Problem 2: Information Extraction What does the information mean?
  10. 10. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 10 Information Extraction •can only be solved ,correctly‘ by a human agent •heterogeneous distribution and order of information •a software agent does not have •sufficient knowledge of contexts •sufficient world knowledge and •sufficient experience to solve the problem Problem 2: Information Extraction
  11. 11. Problemfeld 2: Informationsextraktion Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 11 • implicit knowledge, i.e. information does not have to be specified explicitely, but must be derived via logical deductions from available information. Problem 2: Information Extraction
  12. 12. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 12 Problem 3: Maintenance • the more complex and voluminous a website, the more complicated is the maintenance of the only weakly structured data. • Problems: • syntactic vs. semantic (link) consistency • correctness • timeliness
  13. 13. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 13 Problem 4: Personalization •Adaption of the presented information content to personal requirements •Problems: •from where do we get the required (personal) information? •personalization vs. data security
  14. 14. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 14 GAME OVER
  15. 15. Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam 15 Next section OpenHPI - Course Knowledge Engineering with Semantic Web Technologies Lecture 1: Knowledge Engineering and the Web of Data 05: The Web becomes Intelligent

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