0Universidade Federal de Santa Catarina

Centro de Ciências da Educação

Programa de Pós-Graduação Em Ciência da Informação

0PCI3214 – Recuperação Inteligente de Informação – 3cr. Prof. Dr. Angel Freddy Godoy Viera

e-mail: recinfor@gmail.com

Ementa: A recuperação inteligente da informação (RII), conceitos básicos, visão lógica

de documentos, processos de recuperação. Modelos de recuperação da informação,

taxonomia. Modelos clássicos, modelos da teoria de conjuntos, modelos algébricos,

modelos probabilísticos, modelo de texto estruturado, modelo browsing. Operações

com texto, pré-processamento, clustering e compressão de texto. Indexação e

recuperação, arquivo invertido, índice de textos, consulta booleana, busca seqüencial,

reconhecimento de padrões, consultas estruturadas. Recuperação inteligente de informação na Web e Bibliotecas Digitais.

Objetivo: Proporcionar um enfoque geral sobre as modernas tecnologias subjacentes

aplicadas para a recuperação inteligente da informação, os principais modelos

existentes e seu uso na Web e bibliotecas digitais.

Conteúdo Programático:

1. Recuperação Inteligente da Informação: Conceitos Básicos. Tarefas do usuário.

Visão Lógica dos documentos. Processos de Recuperação.

2. Modelos de Recuperação da Informação: Taxonomia dos modelos de RI, Modelos

Clássicos, Modelos da teoria de conjuntos, Modelos Algébricos, Modelos

Probabilísticos, Modelos de texto estruturado, Modelos browsing. 3. Operações com Texto: Pré-processamento de documentos, Clustering de

Documentos, Compressão de Texto.

4. Indexação e Recuperação: Arquivo Invertido, índices para Textos, Consulta

Booleana, Busca Seqüencial, Reconhecimento de Padrões, Consultas Estruturadas.

5. Recuperação inteligente de Informação na Web e Bibliotecas Digitais.

Metodologia:

Discussão em grupos, seminários, estudos individuais e coletivos, trabalhos em grupos

e outras modalidades conforme a dinâmica dos grupos.

Avaliação:

Serão consideradas na avaliação: participação em aula (10%), trabalhos individuais ou

grupais e redação de resumos críticos (20%), seminários (30%), elaboração de um

artigo final individual, com tema previamente aprovado pelo professor, relacionado

com os tópicos do conteúdo programático (40%). O artigo final deverá ser entregue

em cópia impressa e digital e apresentado em seminário em data estabelecida no

cronograma da disciplina.

0Bibliografia

Livros

Alessandro Bozzon and Piero Fraternali. Chapter 8: Multimedia and Multimodal

Information Retrieval. Lecture Notes in Computer Science, 2010, Volume 5950/2010, 135-

155, DOI: 10.1007/978-3-642-12310-8_8

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Modern Information Retrieval. New

York: Addison Wesley, 1999.

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Modern Information Retrieval: The

concepts and technology behind search. (2nd

. Ed.) New York: Addison Wesley, 2010.

Carol Peters, Martin Braschler and Paul Clough. Multilingual Information Retrieval: From

Research to Practice. Berling: Springer-Verlag, 2012.

CROFT, W. Bruce. Advances in Information Retrieval: recent research from the center for

intelligent information retrieval. Kluwer Academic Publishers, 2000. CRONIN, Blaise. (Ed.) Annual Review of Information Science and Technology. Medford:

Information Today, Inc., 2006, v.40, p.596. CRONIN, Blaise. (Ed.) Annual Review of Information Science and Technology. Medford:

Information Today, Inc., 2005, v.39, p.674. CRONIN, Blaise. (Ed.) Annual Review of Information Science and Technology. Medford:

Information Today, Inc., 2004, v.38, p.696.

David A. Grossman and Ophir Frieder. Information Retrieval: Algorithms and Heuristics.

Springer, 2004.

INGWERSEN, P. Information Retrieval Interaction. London:Taylor Graham, 1992.X, 246p.

Disponível em: <http://vip.db.dk/pi/iri/index.htm >. Acesso em: 19 fev. 2007.

Klaus Schoeffmann, Bernard Mérialdo, Alexander G. Hauptmann, Chong-Wah Ngo,

Yiannis Andreopoulos, Christian Breiteneder (Eds.). Advances in Multimedia

Modeling. 18th International Conference, MMM 2012, Klagenfurt, Austria, January

2012. Proceedings.

LARA NAVARRA, Paulo; MARTÍNEZ USERO, José Angel. Agentes Inteligentes em la

Búsqueda y Recuperación de la Información. Barcelona: Planeta –UOC, S.L., 2006.

MANNING, C.D.; RAGHAVAN, P.; SCHUTZE, H. An introduction to information

retrieval. Cambridge: Cambridge University Press, 2008.

MOENS, Marie-Francine. Automatic Indexing and Abstracting of Document Texts. Kluwer

Academic Publishers, 2000. MOHAMMADIAN, Masoud. Intelligent Agents for Data Mining and Information

Retrieval. Idea Group Inc., 2004. SCIME, Anthony.(Ed.) Web mining:applications and techniques. Hershey: Idea Group

Publishing, 2005, p. 427.

Stefano Ceri and Marco Brambilla (Eds.). Search Computing: Challenges and Directions.

Berling: Springer-Verlag, 2010. Disponível em:

<http://books.google.com.br/books?id=za12XAILNokC&lpg=PP1&hl=pt-

BR&pg=PP1#v=onepage&q&f=false>. Acesso em: 15 mai 2012.

XIE, Iris. Interactive Information Retrieval in Digital Environments. New York: IGI

Publishing, 2008. p.vi-xv, p.1-20.

Zygmunt Mazur and Konrad Wiklak. Chapter 22 Music Information Retrieval on the

Internet. Advances in Intelligent and Soft Computing, 2010, Volume 80/2010, 229-243,

DOI: 10.1007/978-3-642-14989-4_22

Artigos

BAEZA-YATES, Ricardo. Information retrieval in the Web: beyond current search engines.

International Journal of Approximate Reasoning, v.34, 97–104, 2003.

BAR-ILAN, Judit. The use of Web Search Engines in information Science Research. In:

CRONIN, Blaise. Annual Review of Information Science and Technology. Medford:

Information Today, Inc., 2004, v.38, p.231-288.

Bashar Tahayna, Saadat Alhashmi, Yandan Wang and Khaled Abbas. Combining Content

and Context Information Fusion for Video Classification and Retrieval. 2nd International

Conference on Signal Processing Systems (ICSPS). 2010.

BELKIN, Nicholas J., Rutgers-SCILS TIPSTER Phase III: Intelligent Information

Retrieval:Disponível em http://mariner.rutgers.edu/tipster3/iirs.html . Acesso em 18 de

abril de 2005. Whose Intelligence...What could we mean by intelligent information

retrieval?.

Bong-Hyun Cho, Changki Lee and Gary Geunbae Lee. Exploring term dependences in

probabilistic information retrieval model. Information Processing & Management, Volume

39, Issue 4, July 2003, Pages 505-519

Brijendra Singh, Hemant Kumar Singh. Web data mining research: a survey. Computational

Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference.

CAMPOS, Luis et al. Bayesian networks and information retrieval: an introduction to the

special issue. Information Processing and Management, v.40, p. 727–733, 2004.

CARPINETO, CLAUDIO and ROMANO, GIOVANNI. A Survey of Automatic Query

Expansion in Information Retrieval. ACM Computing Surveys, Vol. 44, No. 1, Article 1,

Publication date: January 2012.

CARTERETTE, Ben; CAN, Fazli. Comparing inverted �les and signature �les for

searching a large lexicon. Information Processing and Management, v. 41, p. 613–633,

2005.

Changki Lee and Gary Geunbae Lee. Probabilistic information retrieval model for a

dependency structured indexing system. Information Processing & Management, Volume

41, Issue 2, March 2005, Pages 161-175

Chen Lihui and Chue Wai Lian. Using Web structure and summarization techniques for

Web content mining. Information Processing & Management, Volume 41, Issue 5,

September 2005, Pages 1225-1242

CHEN, Hsinchun e CHAU, Michael. Web Mining: Machine Learning for Web applications.

In: CRONIN, Blaise. Annual Review of Information Science and Technology. Medford:

Information Today, Inc., 2004, v.38, p. 289-329.

Cheryl Aasheima and Gary J. Koehler. Scanning World Wide Web documents with the

vector space model. Decision Support Systems, April 2005

CRESTANI, Fabio and PASI,Gabriella. Soft Information Retrieval: Applications of Fuzzy

Set Theory and Neural Networks. In: NeuroFuzzy Techniques for Intelligent Information

Systems. Publisher: Physica Verlag (Springer Verlag), 1999.

D. Minnie and S. Srinivasan. Meta Search Engines for Information Retrieval on Multiple

Domains. International Journal of Technology And Engineering System(IJTES): Jan –

March 2011- Vol.2.No.2.

Danah M. Boyd and Nicole B. Ellison. Social network sites: Denition, history, and

scholarship. Journal of Computer-Mediated Communication, 13(1), 2007.

David Hawking. Web Search Engines: Part 1 and Part 2. Computer. August 2006.

DEB, Sagarmay. Multimedia Systems and Content-Based Image Retrieval. Idea Group

Inc., 2003.

DEB, Sagarmay. Video Data Management and Information Retrieval. IRM Press,

2005.

Denis Parra, Peter Brusilovsky. Evaluation of Collaborative Filtering Algorithms for

Recommending Articles on CiteULike. Proceedings of the Workshop on Web 3.0: Merging

Semantic Web and Social Web 2009 (SW), Turin, Italy, June 29, 2009, CEUR Workshop

Proceedings, ISSN 1613-0073.

DUMAIS, Susan T. Latent Semantic Analysis. In: CRONIN, Blaise. Annual Review of

Information Science and Technology. Medford: Information Today, Inc., 2004, v.38, p.

189-230.

Eduardo M. Eisman, Víctor López, Juan Luis Castro. Intelligent Web Navigation Using

Virtual Assistants. Proceedings of the 7th Workshop on Intelligent Techniques for Web

Personalization & Recommender Systems (ITWP'09) Pasadena, California, USA, July 11-

17, 2009 In conjunction with the 21st International Joint Conference on Artificial

Intelligence - IJCAI 2009

Eui-Kyu Park, Dong-Yul Ra and Myung-Gil Jang. Techniques for improving web retrieval

effectiveness. Information Processing & Management, Volume 41, Issue 5, September

2005, Pages 1207-1223

FERNÁNDEZ SERRANO, R, et al. Búsqueda Inteligente de Información Multimedia.

Disponível em: <http://personales.upv.es/ccarrasc/doc/2002-2003/BIIM/biim.htm>. Acesso

em : 15 fev. 2008.

FERNEDA, Edberto. Redes neurais e sua aplicação em sistemas de recuperação de

informação. Ciência da Informação, v.35, n.1, p. 25-30, jan./abr. 2006.

FOSTER, J.. Collaborative information seeking and retrieval. In: CRONIN, Blaise (ed.).

Annual Review of Information Science and Technology. Medford: Information Today, Inc.,

2006, v.40, p.329-356.

Giordano Adami, Paolo Avesani and Diego Sona. Clustering documents into a web

directory for bootstrapping a supervised classification. Data & Knowledge Engineering,

Volume 54, Issue 3, September 2005, Pages 301-325

Giovanni Tummarello, Christian Morbidoni. Collaboratively building structured knowledge

with DBin:from del.icio.us tags to an “RDFS Folksonomy". Proceedings of the Workshop

on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at the 16th

International World Wide Web Conference (WWW2007) Banff, Canada, May 8, 2007.

Giuseppe Fenza, Vincenzo Loia, Sabrina Senatore. Agent-assisted Tagging Aimed at

Folkonomy-Based Information Retrieval. Intelligent Agent (IA), 2011 IEEE Symposium

GUERRERO-BOTE, Vicente P. et al. Comparison of neural models for document

clustering. International Journal of Approximate Reasoning. v. 34, p. 287–305, 2003.

Guoying Liu. The application of intelligent agents in libraries: a survey. Program:

electronic library and information systems, Vol. 45 Iss: 1 pp. 78 – 97, 2011.

HAMDI, Mohamed Salah. Extracting and Customizing Information Using Multi-Agents.

In: SCIME, Anthony. Web mining:applications and techniques. Hershey: Idea Group

Publishing, 2005, p. 228-252.

Hendrik Drachsler, Hans Hummel and Rob Koper. Using Simulations to Evaluate the

Effects of Recommender Systems for Learners in Informal Learning Networks.

Proceedings of the 2nd SIRTEL'08 Workshop on Social Information Retrieval for

Technology Enhanced Learning Maastricht, Netherlands, September 17, 2008

HUANG, Albert H. Effects of multimedia on document browsing and navigation: an

exploratory empirical investigation. Information & Management, v. 41, n. 2, December

2003, p.189-198.

JACKSON, Peter; MOULINIER, Isabelle. Natural Language Processing for Online

Applications. Text retrieval, extraction and categorization. John Benjamins Publishing

Company, 2002.

JANSEN, Bernard J.; SPINK, Amanda. Analysis of Document Viewing Patterns of Web

Search Engine Users. In: SCIME, Anthony. Web mining:applications and techniques.

Hershey: Idea Group Publishing, 2005, p. Pg. 339-354.

JANSEN, Bernard. Seeking and implementing automated assistance during the search

process. Information Processing and Management, v. 41, p 909–928, 2005.

Jiang Yongbo and Zhang Ruili. Intelligent Search Engines Based on Web Mining.

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International

Conference.

Jiao Wei-wei, Sun Tie-li, Li Xin and Xu Lin-na. Personalized Information Service System

Based on Multi-agent. Fuzzy Information and Engineering. 2010, AISC 78, pp. 769–776.

Jongpill Choi, Minkoo Kim and Vijay V. Raghavan. Adaptive relevance feedback method

of extended Boolean model using hierarchical clustering techniques. Information

Processing & Management, July 2005,

Joris Klerkx, Erik Duval. Visualizing Social Bookmarks. Proceedings of the 1st Workshop

on Social Information Retrieval for Technology-Enhanced Learning & Exchange. Sissi,

Lassithi - Crete Greece, 18 September, 2007.

KIRYAKOV, Atanas, et al. Semantic annotation, indexing, and retrieval. Web Semantics:1

December 2004, p.49-79 Science, Services and Agents on the World Wide Web, v. 2, n.,

KNOBLAUCH, Andreas. Neural associative memory for brain modeling and information

retrieval. Information Processing Letters, June 2005.

KRAFT, D.H. et al. Rules and fuzzy rules in text: concept, extraction and usage.

International Journal of Approximate Reasoning, v. 34, p. 145–161, 2003.

Kyar Nyo Aye, Ni Lar Thein. Efficient Indexing and Searching Framework for

Unstructured Data. Fourth International Conference on Machine Vision (ICMV 2011):

Machine Vision, Image Processing, and Pattern Analysis, edited by Zhu Zeng, Yuting Li,

Proc. of SPIE Vol. 8349, 83493F, 2012. doi: 10.1117/12.921130

L. Egghe. Vector retrieval, fuzzy retrieval and the universal fuzzy IR surface for IR

evaluation. Information Processing & Management, Volume 40, Issue 4, July 2004, Pages

603-618

LADENIC, Dunja e GROBELNIK, Marko. Feature selection on hierarchy of web

documents. Decision Support Systems, v. 35, p. 45– 87, 2003.

Lora Aroyo, Pasquale De Meo, Domenico Ursino. Trust and Reputation in Social

Internetworking Systems. In Proceedings of International Workshop on Adaptation in

Social and Semantic Web (SAS-WEB 2010) Big Island of Hawaii, June 21 2010, pp. 1-10.

Luis M. de Campos , Juan M. Fernández-Luna and Juan F. Huete. Clustering terms in the

Bayesian network retrieval model: a new approach with two term-layers. Applied Soft

Computing, Volume 4, Issue 2, May 2004, Pages 149-158.

Luis M. de Campos, Juan M. Fernández-Luna and Juan F. Huete. Using context

information in structured document retrieval: an approach based on influence diagrams •

Information Processing & Management, Volume 40, Issue 5, September 2004, Pages 829-

847.

LUO Junwei and XUE Xiao. Research on Information Retrieval System Based on Semantic

Web and Multi-Agent. 2010 International Conference on Intelligent Computing and

Cognitive Informatics.

M. Shamim Khan and Sebastian W. Khor. Web document clustering using a hybrid neural

network. Applied Soft Computing, Volume 4, Issue 4, September 2004, Pages 423-432

MANI, Inderjeet. Automatic Summarization. John Benjamins Publishing Company,

2001.

Mark Sanderson. Test Collection Based Evaluation of Information Retrieval Systems.

Foundations and Trends in Information Retrieval. Vol. 4, No. 4 (2010) 247–375. DOI:

10.1561/1500000009.

MARTÍNEZ USERO, J.A. Agentes inteligentes aplicados a la gestión de información

para la investigación. In: CONFERENCIA DE LA FACULTAD DE

DOCUMENTACIÓN. Universidad de Murcia, 4 de maio, 1999, p.1-24.

Michela Bacchin, Nicola Ferro and Massimo Melucci. A probabilistic model for stemmer

generation. Information Processing & Management, Volume 41, Issue 1, January 2005,

Pages 121-137

Minnie, D. e Srinivasan, S. Intelligent Search Engine Algorithms on Indexing and

Searching of Text Documents using Text Representation. 2011 International Conference on

Recent Trends in Information Systems.

Monica Desai and Amanda Spink. An algorithm to cluster documents based on relevance.

Information Processing & Management, Volume 41, Issue 5, September 2005, Pages 1035-

1049

Monika R. Henzinger. Algorithmic Challenges in Web Search Engines. Internet

Mathematics Vol. 1, No. 1: 115-126

Neves de, D.A. Ciência da informação e cognição humana: uma abordagem do

processamento da informação. Ciência da Informação. v.35, n° 1, 2006.

Niraj Singhal, R. P. Agarwal e Ashutosh Dixit, A. K. Sharma. Information Retrieval

from the Web and Application of Migrating Crawler. Proceedings 2011 International

Conference on Computational Intelligence and Communication Systems, CICN 2011,

2011, Article number 6112912, Pages 476-480.

O. Cordón, E. Herrera-Viedma, C. López-Pujalte, M. Luque and C. Zarco. A review on the

application of evolutionary computation to information retrieval. International Journal of

Approximate Reasoning, Volume 34, Issues 2-3, November 2003, Pages 241-264

Omar Choudary, Benoit Baccot, Romulus Grigoras, Vincent Charvillat. A User Study on

Rich Media Mobile Guide Applications. Proceedings9th Workshop on Multimedia

Metadata (WMM'09) in conjunction with the 13th French Multimedia Conference on

Compression and Representation of Audiovisual Signals (CORESA 2009), Toulouse,

France, March 19-20, 2009.

P. Bedi and S. Chawla. Agent Based Information Retrieval System Using Information

Scent. Journal of Artificial Intelligence. Vol. 3. Iss. 4, p.220-238. 2010. ISSN 1994-5450.

Patrick Perrin and Frederick E. Petry. Extraction and representation of contextual

information for knowledge discovery in texts. Information Sciences, Volume 151, May

2003, Pages 125-152

Peng Li, Bin Wang, Wei Jin, Jian-Yun Nie, Zhiwei Shi and Ben He. Exploring

Categorization Property of Social Annotations for Information Retrieval. CIKM’11,

October 24–28, 2011, Glasgow, Scotland, UK.

Piotr Jedrzejowicz. Machine Learning and Agents. 5th KES International Conference on

Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA

2011;Manchester; June 2011.

Piotr Jedrzejowicz. Machine Learning and Agents. 5th KES International Conference on

Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA

2011;Manchester; June 2011.

http://books.google.com.br/books?id=IiWIpcL7MyQC&lpg=PA54&ots=sHIEvDxDqu&dq

=Multi%20agent%20system%20for%20historical%20information%20retrieval%20from%2

0online%20social%20networks&hl=pt-

BR&pg=PA2#v=onepage&q=Multi%20agent%20system%20for%20historical%20informat

ion%20retrieval%20from%20online%20social%20networks&f=false

Richard T. Freeman and Hujun Yin. Tree view self-organisation of web content.

Neurocomputing, Volume 63, January 2005, Pages 415-446

Riina Vuorikari, Hans Põldoja. Comparison of educational tagging systems – any chances

of interplay?. Proceedings of the 2nd SIRTEL'08 Workshop on Social Information Retrieval

for Technology Enhanced Learning Maastricht, Netherlands, September 17, 2008

Riina Vuorikari,Rob Koper. Ecology of social search for learning resources. Campus-Wide

Information Systems. Vol. 26 No. 4, 2009, pp. 272-286

Robert Villa and Joemon M. Jose. A study of awareness in multimedia search. Information

Processing and Management 48 (2012) 32–46.

RODRÍGUEZ GAIRÍN, Josep M.; SOMOZA FERNÁNDEZ, Marta. Los agentes de

software desde la perspectiva de la Biblioteconomía y Documentación : delegación de

tareas en el préstamo interbibliotecario. In: Congreso ISKO-España: la dimensión humana

de la organización del conocimiento. 7º, 2005, Barcelona Proceedings… Disponível em:

<http://eprints.rclis.org/archive/00004094/>. Acesso em : 13 fev. 2008.

Rohit Agarwal, K. V. Arya, Shashi Shekhar e Rakesh Kumar. An Efficient Weighted

Algorithm for Web Information Retrieval System. Computational Intelligence and

Communication Networks (CICN), 2011 International Conference.

Ronan Cummins and Colm O’Riordan. A Framework for the study of Evolved Term-

Weighting Schemes in Information Retrieval. Proceedings of the ECAI'06 3rd International

Workshop on Text-based Information Retrieval, Riva del Garda, Italy / Aug 29th, 2006.

ROWE, Neil C. Exploiting Captions for Web Data Mining. In: SCIME, Anthony. Web

mining:applications and techniques. Hershey: Idea Group Publishing, 2005, p. 119-144.

ROWE, Neil C. Exploiting Captions for Web Data Mining. In: SCIME, Anthony (ed.). Web

mining: applications and techniques. Hershey: Idea Group Publishing, 2005, p. 119-144.

ROWLEY, Jennifer. A biblioteca eletrônica. Brasília: Briquet de Lemos/Livros, 2002.

Sadaaki Miyamoto. Information clustering based on fuzzy multisets •Information

Processing & Management, Volume 39, Issue 2, March 2003, Pages 195-213

Samuel W. K. Chan and Mickey W. C. Chong Unsupervised clustering for nontextual web

document classification. Decision Support Systems, Volume 37, Issue 3, June 2004, Pages

377-396

Sandra Garcia Esparza, Michael P. O’Mahony and Barry Smyth. Mining the real-time web:

A novel approach to product recommendation. Knowledge-Based Systems 29 (2012) 3–11.

SEMERARO, G. et al..Intelligent Information Retrieval in a Digital Library Service.

Disponível em [http://www.ercim.org/publication/ws-proceedings/. Acesso em 20 de abril

de 2005.

Shailendra Singh and Lipika Dey. A rough-fuzzy document grading system for customized

text information retrieval. Information Processing & Management, Volume 41, Issue 2,

March 2005, Pages 195-216

Shailendra Singh and Lipika Dey. A rough-fuzzy document grading system for customized

text information retrieval. Information Processing & Management, Volume 41, Issue 2,

March 2005, Pages 195-216

Shi-Jay Chen and Shyi-Ming Chen. Fuzzy information retrieval based on geometric-mean

averaging operators. Computers & Mathematics with Applications, Volume 49, Issues 7-8,

May-June 2005, Pages 1213-1231

SMEATON, Alan F.. Indexing, browsing, and searching of digital video. In: CRONIN,

Blaise (ed.). Annual Review of Information Science and Technology. Medford: Information

Today, Inc., 2004, v.38, p.371-407.

SMEATON, Alan F.. Indexing, browsing, and searching of digital video. In: CRONIN,

Blaise. Annual Review of Information Science and Technology. Medford: Information

Today, Inc., 2004, v.38, p.371-407.

SRINIVASAN, Uma; NEPAL, Surya. Managing Multimedia Semantics. IRM Press,

2005.

Steven Buchanan and Adeola Salako. Evaluating the usability and usefulness of a digital

library. Library Review. Vol. 58 No. 9, 2009 pp. 638-651.

TANIAR, David; RAHAYU, Johanna Wenny. Web Information Systems. Idea Group Inc.,

2004.

THELWALL, Mike. Data Cleansing and Validation for Multiple Site Link Structure

Analysis. In: SCIME, Anthony. Web mining:applications and techniques. Hershey: Idea

Group Publishing, 2005, p. 208-227.

TORRA, Vicenço, MIYAMOTO, Sadaaki, LANAU, Sergi. Exploration of textual

document archives using a fuzzy hierarchical clustering algorithm in the GAMBAL system

. Information Processing & Management, v. 41, n.3, p. 587-598, maio 2005.

Tsau Young Lin and I-Jen Chiang. A simplicial complex, a hypergraph, structure in the

latent semantic space of document clustering. International Journal of Approximate

Reasoning, Volume 40, Issues 1-2, July 2005, Pages 55-80

VAN DELDEN, Sebastián e GOMEZ, Fernando. Retrieving NASA problem reports: a case

study in natural language information retrieval. Data & Knowledge Engineering, v. 48, p.

231–246, 2004.

Vicenço Torra, Sadaaki Miyamoto and Sergi Lanau. Exploration of textual document

archives using a fuzzy hierarchical clustering algorithm in the GAMBAL system .

Information Processing & Management, Volume 41, Issue 3, May 2005, Pages 587-598

Vicente P. Guerrero-Bote, Cristina López-Pujalte, Félix de Moya-Anegón and Victor

Herrero-Solana. Comparison of neural models for document clustering. International

Journal of Approximate Reasoning, Volume 34, Issues 2-3, November 2003, Pages 287-305

Vuorikari,Riina. Can Social Information Retrieval Enhance the Discovery and Reuse of

Digital Educational Content?. RecSys’07, October 19–20, 2007, Minneapolis, Minnesota,

USA

VUTUKURU, V.; PASUPULETI, K.; KHARE, A e GARG, A. Conceptemy: Na issue in

XML information retrieval.

Weimao Ke, Yueyu Fu and Javed Mostafa. Advanced information retrieval Web services for

digital libraries. Library Collections, Acquisitions, and Technical Services, In Press,

Corrected Proof, Available online 11 July 2005

WU, Fan; Hsu, Ching-Chi. Using Context Information to Build a Topic-Specific Crawling

System. In: SCIME, Anthony. Web mining:applications and techniques. Hershey: Idea

Group Publishing, 2005, p. 50-68.

Xu Chen, Alfred O. Hero and Silvio Savarese. Multimodal Video Indexing and Retrieval

Using Directed Information. IEEE Transactions on Multimedia, vol. 14, no. 1, 2012.

Yan Li, Fuwen Guo and Xiufeng Wang. Intelligent personalised information retrieval

system based on multi-agent. Int. J. Modelling, Identification and Control, Vol. 12, Nos.

1/2, 2011.

YANG, Kiduk. Information Retrieval on the Web. In: CRONIN, Blaise (ed.). Annual

Review of Information Science and Technology. Medford: Information Today, Inc., 2005,

v.39, p. 33-80.

Yi Xiao, Ming Xiao and Fan Zhang. Intelligent Information Retrieval Model Based on

Multi-Agents. Wireless Communications, Networking and Mobile Computing, 2007.

WiCom 2007. International Conference.

Yiwei Cao, Ralf Klamma, and Maziar Khodaei. A Multimedia Service with MPEG-7

Metadata and Context Semantics. Proceedings9th Workshop on Multimedia Metadata

(WMM'09) in conjunction with the 13th French Multimedia Conference on Compression

and Representation of Audiovisual Signals (CORESA 2009), Toulouse, France, March 19-

20, 2009.

ZANTOUT, Hind e MARIR, Farhi. Document management systems from current

capabilities towards intelligent information retrieval: an overview. International Journal of

Information Management, v. 19, p. 471-484, 1999.

ZHAO Jing. Web Mining Application in University Library Personalized Search Engine.

Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference.

Zheng Ye, Xiangji Jimmy Huang, Song Jin, and Hongfei Lin. Exploring Social Annotation

Tags to Enhance Information Retrieval Performance. Lecture Notes in Computer Science,

2010, Volume 6335/2010, 255-266, DOI: 10.1007/978-3-642-15470-6_27

Zhigang Kong and Mounia Lalmas. Using XML Logical Structure to Retrieve

(Multimedia) Objects. Research and Advanced Technology for Digital Libraries Lecture

Notes in Computer Science, 2007, Volume 4675/2007, 100-111, DOI: 10.1007/978-3-540-

74851-9_9

Zhigang ZHOU. Social Information Retrieval Based on User Interesting Mining. Journal of

Computational Information Systems 7:4 (2011) 1373-1379

Sites

Sistema de Busca Johuha http://www.johuha.ufsc.br/

Information Research: http://informationr.net/ir/

e-Books: http://site.ebrary.com/lib/buufsc/

Ciência da Informação URL: http://www.ibict.br/cionline D-Lib Magazine (Digital Library Magazine) URL:http://www.dlib.org/ Directory of Open Journal: http://www.doj.org/ Latindex - http://www.latindex.unam.mx/ SCIRUS: http://www.scirus.com/

RNP http://www.rnp.br SCOPUS: http://www.scopus.com

Portal de periódicos da CAPES: http://www.periodicos.capes.gov.br/

Cronograma

PCI3214-Recuperação Inteligente da Informação

N

o. 2013

T1

Dia

Mês

Conteúdo

1 08ma

r Apresentação da turma. Discussão do plano de aula. Registro no

Courseware da Disciplina, Distribuição das atividades.

Recuperação Inteligente de Informação. Definição. Principais problemas

estudados pela RI. Principais Abordagens na Pesquisa de RI, Tarefas do

Usuário, representação lógica dos documentos. Processos de Recuperação. Leituras: XIE, Iris. Interactive Information Retrieval in Digital Environments. New

York: IGI Publishing, 2008. p.vi-xv, p.1-20.

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Modern Information

Retrieval: The concepts and technology behind search. (2d.Ed.) New York:

Addison Wesley, 2010.

Ingwersen,P. Information Retrieval Interaction.London:Taylor Graham,

1992, p.49-60. RIJSBERGEN, C.J. One Introduction. In: Information retrieval. University

of Gasgow, 1995, p.1-6.

2 15ma

r

Modelos de Recuperação de Informação. Modelos Clássicos de RI. Modelo

Booleano, Modelo Vetorial, Modelo Probabilístico, Clustering. Leituras: MANNING, C.D.; RAGHAVAN, P.; SCHUTZE, H. An introduction to

information retrieval. Cambridge: Cambridge University Press, 2008, p.1-

14, p. 201-2016,p.167-180. BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 2. Modeling.

In: Modern Information Retrieval. New York: Addison Wesley, 1999. p.19-

34. INGWERSEN,P. The Traditional IR Research Approach. In: Information

Retrieval Interaction. London: Taylor Graham, 1992, p.72-78

3 22ma

r

Soft Information Retrieval: Aplicação da teoria de conjuntos difusos á

recuperação da informação. Modelo Booleano estendido. Representação

difusa dos documentos. Extensão difusa da linguagem de consulta. Tesauros

difusos. Agrupamento difuso de documentos. Aplicação de redes neurais à

recuperação da informação. Técnicas de aprendizado supervisionado.

Técnicas de aprendizado não supervisionadas. Modelos de Recuperação

Textual Estruturada. Leituras:

CRESTANI, Fabio and PASI,Gabriella. Soft Information Retrieval:

Applications of Fuzzy Set Theory and Neural Networks. In: NeuroFuzzy

Techniques for Intelligent Information Systems. Publisher: Physica Verlag

(Springer Verlag), 1999. BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 2. Modeling.

In: Modern Information Retrieval. New York: Addison Wesley, 1999. p.34-

49. FERNEDA, Edberto. Redes neurais e sua aplicação em sistemas de

recuperação de informação. Ciência da Informação, v.35, n.1, p. 25-30,

jan./abr. 2006. TORRA, Vicenço, MIYAMOTO, Sadaaki, LANAU, Sergi. Exploration of

textual document archives using a fuzzy hierarchical clustering algorithm in

the GAMBAL system . Information Processing & Management, v. 41, n.3,

p. 587-598, maio 2005.

4 05abr Operações com Texto: Pré-processamento de documentos, Análise lexical,

Eliminação de palavras proibidas, Stemming, Seleção de Temos de

Indexação.Linguagem de consulta: Consulta baseado em palavras-chave.

Pattern Matching. Consultas estruturais.

Operações na Consulta. Retroalimentação de relevância e expansão de

consultas. Retroalimentação de relevância e pseudo-retroalimentação de

relevância. Métodos globais para reformulação de consultas.

Leituras:

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 7 Text

Operations. In: Modern Information Retrieval. New York: Addison Wesley,

1999. p.163-175. CARPINETO, CLAUDIO and ROMANO, GIOVANNI. A Survey of

Automatic Query Expansion in Information Retrieval. ACM Computing

Surveys, Vol. 44, No. 1, Article 1, Publication date: January 2012.

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 4 Query

Languages. In: Modern Information Retrieval. New York: Addison Wesley,

1999. p.99-112. MANNING, C.D.; RAGHAVAN, P.; SCHUTZE, H. Chapter 9. Relevance

feedback and query expansion. In: An introduction to information retrieval.

Cambridge: Cambridge University Press, 2008, p. 162-177.

5 12abr

Avaliação de SRI. Medidas de Relevância. Recall e Precisão. Medidas

Alternativas. Média harmônica. Medida E. Medidas baseadas nos usuários. Indexação e busca. Arquivo Invertido: busca, construção. Análise

automatizada de textos. Leituras:

Mark Sanderson. Test Collection Based Evaluation of Information Retrieval

Systems. Foundations and Trends in Information Retrieval. Vol. 4, No. 4

(2010) 247–375. DOI: 10.1561/1500000009.

MANNING, C.D.; RAGHAVAN, P.; SCHUTZE, H. Chapter 8. Evaluation

in information retrieval. In: An introduction to information retrieval.

Cambridge: Cambridge University Press, 2008, p. 139-158. BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 3 Retrieval

Evaluation. In: Modern Information Retrieval. New York: Addison Wesley,

1999. p.73-95.

Steven Buchanan and Adeola Salako. Evaluating the usability and

usefulness of a digital library. Library Review. Vol. 58 No. 9, 2009 pp. 638-

651. Kyar Nyo Aye, Ni Lar Thein. Efficient Indexing and Searching

Framework for Unstructured Data. Fourth International Conference on

Machine Vision (ICMV 2011): Machine Vision, Image Processing, and

Pattern Analysis, edited by Zhu Zeng, Yuting Li, Proc. of SPIE Vol.

8349, 83493F , 2012. doi: 10.1117/12.921130 MANNING, C.D.; RAGHAVAN, P.; SCHUTZE, H. Chapter 4. Index

construction. In: An introduction to information retrieval. Cambridge:

Cambridge University Press, 2008, p.61-77.

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 8 Indexing

and Searching. In: Modern Information Retrieval. New York: Addison

Wesley, 1999. p.191-199

6 19abr

Recuperação de informação na Web. Características do ambiente de

busca na Web. Abordagem da Recuperação de informação na Web.

Spiders Web Inteligentes.

Leituras:

Ricardo Baeza-Yates and Prabhakar Raghavan. Chapter2: Next

Generation Web Search. In: Search Computing: Challenges and

Directions. Berling: Springer-Verlag, 2010. Disponível em:

<http://books.google.com.br/books?id=za12XAILNokC&lpg=PP1&hl=pt-BR&pg=PP1#v=onepage&q&f=false>. Acesso em: 15 mai 2012.

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 11 Web

Retrieval. In: Modern Information Retrieval: The concepts and technology

behind search. (2d.Ed.) New York: Addison Wesley, 2010. p.449-517.

BAEZA-YATES, Ricardo; RIBEIRO-NETO, Berthier. Chapter 2 User

Interface for search. In: Modern Information Retrieval: The concepts and

technology behind search. (2d.Ed.) New York: Addison Wesley, 2010.

p.449-517.

David Hawking. Web Search Engines: Part 1 and Part 2. Computer.

August 2006. Minnie, D. e Srinivasan, S. Intelligent Search Engine Algorithms on

Indexing and Searching of Text Documents using Text Representation.

2011 International Conference on Recent Trends in Information

Systems.

D. Minnie and S. Srinivasan. Meta Search Engines for Information

Retrieval on Multiple Domains. International Journal of Technology

And Engineering System(IJTES): Jan –March 2011- Vol.2.No.2. MANNING, C.D.; RAGHAVAN, P.; SCHUTZE, H.I. Chapter 19. Web

search basics. In: An introduction to information retrieval. Cambridge:

Cambridge University Press, 2007, p. 385- 408. Eduardo M. Eisman, Víctor López, Juan Luis Castro. Intelligent Web

Navigation Using Virtual Assistants. Proceedings of the 7th Workshop on

Intelligent Techniques for Web Personalization & Recommender Systems

(ITWP'09) Pasadena, California, USA, July 11-17, 2009 In conjunction with

the 21st International Joint Conference on Artificial Intelligence - IJCAI

2009.

7 26abr Aprendizado de Maquina para Recuperação da Informação. Mineração de

Conteúdo Web. Mineração de estrutura da Web. Mineração de Uso da Web. Jiang Yongbo and Zhang Ruili. Intelligent Search Engines Based on

Web Mining. Communication Software and Networks (ICCSN), 2011

IEEE 3rd International Conference.

Brijendra Singh, Hemant Kumar Singh. Web data mining research: a

survey. Computational Intelligence and Computing Research (ICCIC),

2010 IEEE International Conference. ZHAO Jing. Web Mining Application in University Library

Personalized Search Engine. Soft Computing and Pattern Recognition

(SoCPaR), 2011 International Conference. CHEN, Hsinchun; CHAU, Michael. Web Mining: machine learning for

Web applications. In: CRONIN, Blaise(ed.).Annual Review of

Information Science and Technology. Medford: Information Today, Inc.,

2004, v.38, p. 289-329.

8 03ma

i Agentes Inteligentes. Definição. Características. Tipos. Agentes Inteligentes

em bibliotecas digitais. Agentes inteligentes para recuperação da

informação. Agentes assistentes no processo de busca de informação.

Agentes inteligentes em serviços em serviços de bibliotecas. Multi-agentes.

Leituras:

Guoying Liu. The application of intelligent agents in libraries: a survey.

Program: electronic library and information systems, Vol. 45 Iss: 1 pp. 78 –

97, 2011. Jiao Wei-wei, Sun Tie-li, Li Xin and Xu Lin-na. Personalized Information

Service System Based on Multi-agent. Fuzzy Information and Engineering.

2010, AISC 78, pp. 769–776. Yan Li, Fuwen Guo and Xiufeng Wang. Intelligent personalised information

retrieval system based on multi-agent. Int. J. Modelling, Identification and

Control, Vol. 12, Nos. 1/2, 2011.

Yi Xiao, Ming Xiao and Fan Zhang. Intelligent Information Retrieval

Model Based on Multi-Agents. Wireless Communications, Networking and

Mobile Computing, 2007. WiCom 2007. International Conference.

Piotr Jedrzejowicz. Machine Learning and Agents. 5th KES International

Conference on Agent and Multi-Agent Systems: Technologies and

Applications, KES-AMSTA 2011;Manchester; June 2011.

9 10ma

i

Busca e Recuperação colaborativa de informação. Recuperação social da

Informação. Leituras:

Danah M. Boyd and Nicole B. Ellison. Social network sites: Denition,

history, and scholarship. Journal of Computer-Mediated Communication,

13(1), 2007. Peng Li, Bin Wang, Wei Jin, Jian-Yun Nie, Zhiwei Shi and Ben He.

Exploring Categorization Property of Social Annotations for Information

Retrieval. CIKM’11, October 24–28, 2011, Glasgow, Scotland, UK. FOSTER, J.. Collaborative information seeking and retrieval. In: CRONIN,

Blaise (ed.). Annual Review of Information Science and Technology.

Medford: Information Today, Inc., 2006, v.40, p.329-356. Denis Parra, Peter Brusilovsky. Evaluation of Collaborative Filtering

Algorithms for Recommending Articles on CiteULike. Proceedings of the

Workshop on Web 3.0: Merging Semantic Web and Social Web 2009 (SW),

Turin, Italy, June 29, 2009, CEUR Workshop Proceedings, ISSN 1613-

0073. Zheng Ye1, Xiangji Jimmy Huang, Song Jin, and Hongfei Lin. Exploring

Social Annotation Tags to Enhance Information Retrieval Performance.

Lecture Notes in Computer Science, 2010, Volume 6335/2010, 255-266,

DOI: 10.1007/978-3-642-15470-6_27

Zhigang ZHOU. Social Information Retrieval Based on User Interesting

Mining. Journal of Computational Information Systems 7:4 (2011) 1373-

1379 Giovanni Tummarello, Christian Morbidoni. Collaboratively building

structured knowledge with DBin:from del.icio.us tags to an “RDFS

Folksonomy". Proceedings of the Workshop on Social and Collaborative

Construction of Structured Knowledge (CKC 2007) at the 16th International

World Wide Web Conference (WWW2007) Banff, Canada, May 8, 2007. Giuseppe Fenza, Vincenzo Loia, Sabrina Senatore. Agent-assisted Tagging

Aimed at Folkonomy-Based Information Retrieval. Intelligent Agent (IA),

2011 IEEE Symposium

Riina Vuorikari,Rob Koper. Ecology of social search for learning resources.

Campus-Wide Information Systems. Vol. 26 No. 4, 2009, pp. 272-286 Vuorikari,Riina. Can Social Information Retrieval Enhance the Discovery

and Reuse of Digital Educational Content?. RecSys’07, October 19–20,

2007, Minneapolis, Minnesota, USA

10 17ma

i Recuperação de Informação multimídia. Requerimentos. Desafios.

Arquitetura. Padrões de Vídeos e Codificação de Vídeos. Metadados.

Técnicas de Processamento de conteúdo. Avaliação da efetividade de

recuperação de informação de vídeos. Leituras: Alessandro Bozzon and Piero Fraternali. Chapter 8: Multimedia and

Multimodal Information Retrieval. Lecture Notes in Computer Science,

2010, Volume 5950/2010, 135-155, DOI: 10.1007/978-3-642-12310-8_8 Klaus Schoeffmann, Bernard Mérialdo, Alexander G. Hauptmann,

Chong-Wah Ngo, Yiannis Andreopoulos, Christian Breiteneder (Eds.).

Advances in Multimedia Modeling. 18th International Conference,

MMM 2012, Klagenfurt, Austria, January 2012. Proceedings. Xu Chen, Alfred O. Hero and Silvio Savarese. Multimodal Video Indexing

and Retrieval Using Directed Information. IEEE Transactions on

Multimedia, vol. 14, no. 1, 2012. Zygmunt Mazur and Konrad Wiklak. Chapter 22 Music Information

Retrieval on the Internet. Advances in Intelligent and Soft Computing,

2010, Volume 80/2010, 229-243, DOI: 10.1007/978-3-642-14989-4_22 Bashar Tahayna, Saadat Alhashmi, Yandan Wang and Khaled Abbas.

Combining Content and Context Information Fusion for Video

Classification and Retrieval. 2010 2nd International Conference on Signal

Processing Systems (ICSPS). Zhigang Kong and Mounia Lalmas. Using XML Logical Structure to

Retrieve (Multimedia) Objects. Research and Advanced Technology for

Digital Libraries Lecture Notes in Computer Science, 2007, Volume

4675/2007, 100-111, DOI: 10.1007/978-3-540-74851-9_9

Yiwei Cao, Ralf Klamma, and Maziar Khodaei. A Multimedia Service with

MPEG-7 Metadata and Context Semantics. Proceedings9th Workshop on

Multimedia Metadata (WMM'09) in conjunction with the 13th French

Multimedia Conference on Compression and Representation of Audiovisual

Signals (CORESA 2009), Toulouse, France, March 19-20, 2009.

11 24ma

i Apresentação de Seminários e Entrega de Artigos. Fechamento da

Disciplina

2013T1 Inicio: 04/mar./2013 Fim: 24/mai./2013