Semantic search
Prof. Michael Schroeder, and Dr. George Tsatsaronis
Slides from the lecture:
- Intoduction
- Overview: A semantic web vision
- Introduction to information retrieval and Web search
- Scoring, term weighting & the vector space model
- Relevance feedback & query expansion
- Text classification & Naive Bayes
- Vector space classification
- Entity identification in literature
- Ontology Alignment
- Sequence Alignment
- Ontology Learning (Extras Slides : Hierachical Clustering)
Slides from the labs:
- Semantic Search (Utility Classes)
- Search Engines Evaluation and Terms' Weighting
- Information Retrieval Exercise (Collection)
- Named Enitity Recognition Lab
- Similarity Measures and Taxonomic Relationships
Programming Task:
Please read carefully the description of the programming task. The deadline is 29/7/2011.
Other material:
Past Exams:
Suggested Reading:
The sources below discuss topics relevant to the different parts of the lecture.
Natural Language Processing:
- Foundations of Statistical Natural Language Processing, by Christopher D. Manning, and Hinrich Schütze, MIT Press, 1999.
- Gene mention normalization and interaction extraction with context models and sentence motifs, by Hakenberg et al., Genome Biology, 2008.
Information Retrieval:
- Introduction to Information Retrieval, by Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze, Cambridge University Press, 2008.
Ontology Learning and Alignment:
- Ontology Learning and Population from Text, by Philipp Cimiano, Springer, 2006.
Bio Ontologies:
- The Gene Ontology (GO) Project in 2006, by the Gene Ontology Consortium, Nucleid Acids Research, 2006.
