Information Description, Storage and Retrieval

Code:

EIC0108

Acronym:

DAPI

Keywords
Classification	Keyword
OFICIAL	Information Systems

Instance: 2010/2011 - 1S

Active?	Yes
Web Page:	http://moodle.fe.up.pt/1011/course/view.php?id=1079
E-learning page:	http://moodle.fe.up.pt/
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIC	23	Syllabus since 2009/2010	5	-	6	56	162

Teaching language

Portuguese

Objectives

The "Information Description, Storage and Retrieval" unit assumes as its context the existence of large collections of heterogeneous information and the requirements for their organization, description, storage and retrieval.

Goals
1. Make the students feel the main issues in the organization and storage of large data collections.
2. Make the students familiar with the main concepts in textual information retrieval and their application in retrieval tools.
3. Explore the methods and tools for the description of web resources and for the use of such descriptions in applications which make use of data semantics.


On completion of this course, te student should be able to:
-Identify the uses of document markup languages in data repositories and in application support;
-Analyze an XML document and show its comformity to a model;
-Create models for XML documents;
-Interpret the results of document processing with XML-based technologies;

-Compare data organization in markup models and other models and explore data migration between models;
-Generate a markup model for data in an application domain, and choose an appropriate storage solution for them;

-Describe the models used in information retrieval, specifically in web retrieval;
-Recognize the various tasks considered in information retrieval;
-Apply information retrieval evaluation measures to the comparison of web retrieval tools;

-Relate web documents with the metadata that describes or relates them;
-Treat ontologies as providers of description tools;
-Explore the applications which manipulate semantic web information descriptions and create metadata sets for a chosen domain;
-Compare semantic web- based services with simpler approaches to resource description.

Program

Introduction to XML and associated technologies: models and document validation; XPath processing and XQuery interrogation.
Text information retrieval; retrieval models; evaluation; web information retrieval.
Information description: semantic web languages; RDF, RDF-Schema, OWL; ontologies for data in a domain.

Mandatory literature

Anders Møller, Michael I. Schwartzbach; An Introduction to XML and Web Technologies, Addison Wesley Professional, 2006. ISBN: 0321269667
Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze; Introduction to Information Retrieval, Cambridge University Press, 2008. ISBN: 0521865719

Teaching methods and learning activities

Lectures include theoretical presentation of the course subjects and practical sessions where proposed research topics are discussed with the students and practical coursework reported.

Software

Protegé
oXygen XML editor
XMLSpy XML editor
Apache Lucene

keywords

Physical sciences > Computer science > Informatics

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	39,00
1st Project Delivery	Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	15,00		2010-10-07
2nd Project Delivery	Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	30,00		2010-11-11
3rd Project Delivery	Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	30,00		2010-12-09
Test 1	Exame	1,00		2010-11-18
Test 2	Exame	1,00		2010-12-16
Study	Exame	46,00		2010-12-16
	Total:	-	0,00

Eligibility for exams

The course has a practical component which results from the execution of projects, to be delivered up to their due dates established in the course plan.
The students are admitted to the final exam if they achieve 50% in each component of the project work. Success in the course requires 40% in each intermediate written test.

Calculation formula of final grade

The final grade is computed using the formula
GRADE= 60% Projects + 40% Tests.

The Project component results from the practical evaluation and can be obtained:
-completing three practical assignments according to the proposed scripts;
-proposing a semester-long project and reporting its results in the same sessions as the assignments.

The project and its workplan must be validated by the course instructors.

Examinations or Special Assignments

None. All students have to complete the projects and present them as scheduled.

Special assessment (TE, DA, ...)

Distributed evaluation, performed during the semester, is required of all students, regardless of their enrollment status.

Classification improvement

Improving the classification requires a new enrollment in the course, taking the course projects and tests again.