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Displaying 1-8 out of 8 total
On Popularity in the Blogosphere
Found in: IEEE Internet Computing
By Marcos André Gonçalves, Jussara M. Almeida, Luiz G.P. dos Santos, Alberto H.F. Laender, Virgílio Almeida
Issue Date:May 2010
pp. 42-49
The blogosphere's more outgoing and informal social nature provides an opportunity to exploit more socially oriented features, such as credibility and popularity, for searching, recommendation, and other tasks. In this article, the authors present evidence...
The Debye Environment for Web Data Management
Found in: IEEE Internet Computing
By Alberto H.F. Laender, Altigran S. da Silva, Paolo B. Golgher, Berthier Ribeiro-Neto, Irna M.R. Evangelista-Filha, Karine V. Magalhães
Issue Date:July 2002
pp. 60-69
<p>Currently, the Web contains a large amount of interesting data implicitlyavailable on pages at various sites, including digital libraries and on-line stores. Researchers regard these data-rich pages as
A Simulation Model for the Performance Evaluation when Migrating Legacy Systems
Found in: Software Maintenance and Reengineering, European Conference on
By Paulo Pinheiro da Silva, Alberto H.F. Laender, Paulo B. Golgher
Issue Date:March 2001
pp. 210
It would be strategically advantageous to organisations if they could predict the behaviour of new systems meant to replace existing legacy ones. In fact, such organisations could tackle possible performance problems of the new systems before they become o...
Aggregating productivity indices for ranking researchers across multiple areas
Found in: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries (JCDL '13)
By Alberto H.F. Laender, Harlley Lima, Mirella M. Moro, Rodrygo L.T. Santos, Thiago H.P. Silva, Wagner Meira
Issue Date:July 2013
pp. 97-106
The impact of scientific research has traditionally been quantified using productivity indices such as the well-known h-index. On the other hand, different research fields---in fact, even different research areas within a single field---may have very diffe...
Multiple keyword-based queries over XML streams
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Alberto H.F. Laender, Altigran S. da Silva, Felipe C. Hummel, Mirella M. Moro
Issue Date:October 2011
pp. 1577-1582
In this paper, we propose that various keyword-based queries be processed over XML streams in a multi-query processing way. Our algorithms rely on parsing stacks designed for simultaneously matching terms from several distinct queries and use new query ind...
Building a research social network from an individual perspective
Found in: Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries (JCDL '11)
By Alberto H.F. Laender, Allan J.C. Silva, Altigran S. da Silva, Carolina A.S. Bigonha, Clodoveu A. Davis, Daniel Hasan Dalip, Eduardo M. Barbosa, Eli Cortez, Marcos Andre Goncalves, Mirella M. Moro, Peterson S. Procopio, Rafael Odon de A
Issue Date:June 2011
pp. 427-428
In this poster paper, we present an overview of CiênciaBrasil, a research social network involving researchers within the Brazilian INCT program. We describe its architecture and the solutions adopted for data collection, extraction, and deduplication...
A source independent framework for research paper recommendation
Found in: Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries (JCDL '11)
By Alberto H.F. Laender, Altigran S. da Silva, Cristiano Nascimento, Marcos Andre Goncalves
Issue Date:June 2011
pp. 297-306
As the number of research papers available on the Web has increased enormously over the years, paper recommender systems have been proposed to help researchers on automatically finding works of interest. The main problem with the current approaches is that...
Joint unsupervised structure discovery and information extraction
Found in: Proceedings of the 2011 international conference on Management of data (SIGMOD '11)
By Alberto H.F. Laender, Altigran S. da Silva, Daniel Oliveira, Edleno S. de Moura, Eli Cortez
Issue Date:June 2011
pp. 541-552
In this paper we present JUDIE (Joint Unsupervised Structure Discovery and Information Extraction), a new method for automatically extracting semi-structured data records in the form of continuous text (e.g., bibliographic citations, postal addresses, clas...