WEB INFORMATION MINING AND RETRIEVAL

Course Information
TitleΕΞΟΡΥΞΗ ΚΑΙ ΑΝΑΚΤΗΣΗ ΠΛΗΡΟΦΟΡΙΑΣ ΣΤΟΝ ΠΑΓΚΟΣΜΙΟ ΙΣΤΟ / WEB INFORMATION MINING AND RETRIEVAL
CodeNIS04
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAthina Vakali
CommonNo
StatusActive
Course ID40003487

Programme of Study: PPS School of Informatics (2014-today)

Registered students: 9
OrientationAttendance TypeSemesterYearECTS
TECΗNOLOGIES GNŌSĪS DEDOMENŌN KAI LOGISMIKOUElective Courses belonging to the selected specialization217.5
TECΗNOLOGIES PLĪROFORIAS KAI EPIKOINŌNIŌN STĪN EKPAIDEUSĪElective Courses217.5
PSĪFIAKA MESA- YPOLOGISTIKĪ NOĪMOSYNĪElective Courses217.5
DIKTYAKA SYSTĪMATAElective Courses217.5

Class Information
Academic Year2015 – 2016
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600011308
Type of the Course
  • Scientific Area
Course Category
Specific Foundation / Core
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Examination)
Prerequisites
General Prerequisites
Advance level of english language, familiarity with web applications.
Learning Outcomes
Understanding Internet information Systems principles, identify core issues involved in Internet information management, the models od information representation Web. -based applications and Web accessing over interfaces. Training on designing and developing of Web-centered applications with special focus on the Social Web. Emphasis on applications which are relevant with Web 2.0 social data analysis.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Basic concepts for Internet information and data management. Data types on the Web and data representation standards. Web structure and the graph model. Performance metrics and Web characterization with information clustering techniques. Caching and Internet content delivery. New technologies and new collaborative frameworks on the Web. Social Web, social networks, Web 2.0 technologies and social data analysis.
Keywords
Web structures and phenomena, social Web and social networks, Web data management
Educational Material Types
  • Slide presentations
  • Book
  • webpages, published papers
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
Description
Use of electronic courses platform. Email communication and course announcements forwarding to students. Upload all course material (slides, projects, extra material).
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures391.3
Laboratory Work692.3
Reading Assigment391.3
Project391.3
Written assigments391.3
Total2257.5
Student Assessment
Description
2 compuslory projects (one theoretical or involving limited implementation and one involving extended implementation)weighting 40% (assuming the final examinaion mark is at least 4.5/10). Written exams weighting 60%
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative, Summative)
  • Written Exam with Short Answer Questions (Summative)
  • Written Assignment (Formative, Summative)
  • Oral Exams (Summative)
  • Performance / Staging (Formative, Summative)
  • Report (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
ΠΛΗΡΟΦΟΡΙΑΚΑ ΣΥΣΤΗΜΑΤΑ ΠΑΓΚΟΣΜΙΟΥ ΙΣΤΟΥ Α. Βακάλη - Ζ. Παπαμήτσιου ΝΕΕΣ ΤΕΧΝΟΛΟΓΙΕΣ 2012 ΑΘΗΝΑ
Additional bibliography for study
-- Vakali, Athena; Jain, Lakhmi C (Eds.)New Directions in Web Data Management, Springer Series: Studies in Computational Intelligence, Vol. 331, 2011, • A. Vakali and G. Pallis : Web Data Management Practices, Idea Group Publishing, 2007. • B. Liu : Web Data Mining, Springer, 2007. • A. Abiteboul, P. Buneman, and D. Suciu, Data on the Web, Morgan-Kaufman, 1999. Εργασίες και ιστότοποι για υποστήριξη αντικειμένου νέων τεχνολογιών (ενδεικτικά): • Berners-Lee, Tim; James Hendler and Ora Lassila : The Semantic Web. Scientific American Magazine. • ProgrammableWeb: Mashups, APIs and the Web as Platform: http://www.programmableweb.com/ --------------- Information Architecture for the World Wide Web: Designing Large-Scale Web Sites by Peter Morville and Louis Rosenfeld, 2006. • Web 2.0: Concepts and Applications by Gary B. Shelly and Mark Frydenberg, 2010. • Christian Bizer, Tom Heath and Tim Berners-Lee (in press). Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems, Special Issue on Linked Data. • Jon Kleinberg and Steve Lawrence, “ The Structure of the Web” http://www.cs.cornell.edu/home/kleinber/sci01.pdf • Raghu Ramakrishnan, Powering the New Web http://www.cs.usyd.edu.au/~adc2008/RRadc2008plenary.pdf
Last Update
22-03-2016