Download Integrated Logic Systems

Semantic Search:
Algorithms and Applications
Michael Schroeder
BioTechnological Center
TU Dresden
Biotec
Syllabus
The module deals with practical applications of logic and reasoning.
The course "semantic search" deals with a novel search paradigm that uses
background knowledge in the form of ontologies.
The course introduces the necessary cocnepts from information retrieval and
text-mining to realize ontology learning and alignments and ontologybased search.
By Michael Schroeder, Biotec, 2006
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Practicals
 Two types:
 Pen and paper exercises
 Programming tasks
By Michael Schroeder, Biotec, 2006
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Assessment
 Written exam counting 80% of final mark
 Practicals: Labs and Programming task counting 20%
 Do labs
 Build a semantic search engine (group work)
 Strategy for preparation
 Follow slides
 Do all labs and homework
By Michael Schroeder, Biotec, 2006
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Getting in touch
Email: {ms,george.tsatasronis}@biotec.dresden.de
Web site: http://www.biotec.tu dresden.de
Click Schroeder->Group->Teaching
Includes web site for ILS module
Bioinformatics group: Structural protein interactions and functional
annotation with ontologies, textmining, rules
Example: Ontology-based literature search at ww.gopubmed.org
By Michael Schroeder, Biotec, 2006
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Part I: Books and Papers

Natual language processing
 Manning and Schütze. Foundations of statsitical natural language
processing
 Gene mention normalization and interaction extraction with
context models and sentence motifs. Hakenberg et al., Genome
Biology, 2008
 Information retrieval
 Manning, Raghavan, Schütze. Introduction to information retrieval.
Book is online at http://nlp.stanford.edu/IR-book/information-retrievalbook.html

Ontology learning and alignment:
 P Cimiano. Ontology learning and population from text. Springer

Bio ontologies:
 The Gene Ontology (GO) project in 2006. Gene Ontology Consortium. Nucleic
Acids Res. 2006 Jan 1;34(Database issue):D322-6
By Michael Schroeder, Biotec, 2006
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