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Dr. Harald SackHasso-Plattner-Institut for IT Systems Engineering
University of PotsdamSpring 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
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Semantic Web Technologies , Dr. Harald Sack, Hasso Plattner Institute, University of Potsdam
Lecture 1: Knowledge Engineering and the Web of Data
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Open HPI - Course: Knowledge Engineering with Semantic Web Technologies
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Semantic Web Technologies , Dr. Harald Sack, Hasso Plattner Institute, University of Potsdam
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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
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Problem 1: Information Retrieval
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Problem 1: Information Retrieval
• traditional keyword-based search leads to many not relevant results
• due to different meanings• polysemy (ambiguity)• different contexts
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Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
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• traditional keyword-based search does not find all results
• synonyms and metaphors• missing context definition
Jaguar
Panthera Onca
Problem 1: Information Retrieval
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Problem 2: Information Extraction
What does the information mean?
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Semantic Web Technologies , Dr. Harald Sack, Hasso-Plattner-Institut, Universität Potsdam
Problem 2: Information Extraction
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Problem 2: Information Extraction
What does the information mean?
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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
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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
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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
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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
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GAME OVER
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Next section
OpenHPI - Course Knowledge Engineering with Semantic Web Technologies Lecture 1: Knowledge Engineering and the Web of Data
05: The Web becomes Intelligent