II5 ENG - Advanced WEB Searching | University of Criminal Investigation and Police Studies

	THE UNIVERSITY OF CRIMINAL INVESTIGATION AND POLICE STUDIES
	DOCTORAL STUDIES INFORMATION TECHNOLOGY
Course:		Advanced WEB Searching
Course Code: II5
ECTS: 20
Course Status:		Elective
Number of Effective Classes (Per Week): 10
Theoretical Education:		Practical Training:			Research Study Project:
10		-			-
Prerequisite/s: None
Educational Objective: The course will also address topics in Web search, including Web crawling, link analysis, search engine development, social media, crowdsourcing, as well as more advanced techniques in intelligent Information Retrieval (IR) using natural language processing techniques.
Projected Outcome: Students will understanding of many implementations of IR technology, web search engines such as Google.com and bing.com, are all examples of IR technology applied to content in the world wide web. On completion of the course, the student should be able to review and discuss scientific papers for advanced searching techniques in web.
Course Contents/Structure Theoretical education: Boolean and vector-space retrieval models; ranked retrieval; text-similarity metrics; TF-IDF (term frequency/inverse document frequency) weighting; cosine similarity. Basic Tokenizing, Indexing, and Implementation of Vector-Space Retrieval; Performance metrics: recall, precision, and F-measure; Evaluations on benchmark text collections. Index term selection; using thesauri. Extracting data from text; semantic web; collecting and integrating specialized information on the web; Applications to web search and information organization; Ranking and relevance in the web. Practical training: Exercises to develop ontologies and knowledge bases. Basic and advanced techniques for building text-based information systems; The PageRank algorithm. Architecture of a simple web search system. Evolution of the Google IR System.
Teaching Methods: lecture, modified lecture, presentation.
Assessment (Maximum Number of Points: 100)
Pre-Exam Obligations			No. of Points	Final Examination		No. of Points
Practical training			20	Oral examination		30
Research study paper			50
Textbook/s
1. R. Baeza-Yates; B. RibeioNeto: Modern Information Retrieval, New York [etc.]: AC M Press [etc.], 1999. 2. C. D. Manning, P. Raghavan, H. Schutze: Introduction to Information Retrieval, New York: Cambridge University Press, 2008.