A5077506036- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Geographic Information Systems Studies
- Natural Language Processing Techniques
- Web Data Mining and Analysis
- Data Mining Algorithms and Applications
- Business Process Modeling and Analysis
- Topic Modeling
- Biomedical Text Mining and Ontologies
- Complex Network Analysis Techniques
- Human Mobility and Location-Based Analysis
- Scientific Computing and Data Management
- Artificial Intelligence in Games
- Distributed systems and fault tolerance
- Logic, Reasoning, and Knowledge
- Video Analysis and Summarization
- Traffic Prediction and Management Techniques
- Logic, programming, and type systems
- Recommender Systems and Techniques
- Online Learning and Analytics
- Software System Performance and Reliability
- Multimedia Communication and Technology
Pontifical Catholic University of Rio de Janeiro
2016-2025
Universidade do Estado do Rio de Janeiro
2006-2024
ORCID
2019
Pyatigorsk State University
2019
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
2019
Coordenação de Aperfeicoamento de Pessoal de Nível Superior
2019
Instituto de Historia
2019
Centre de Recherches Politiques de Sciences Po
2018
Universidade Europeia
2018
IBM (United States)
1983-2016
View integration is investigated with the help of three classes interrelational dependencies, inclusion exclusion dependencies and union functional dependencies. The process view divided into two steps, combination optimization. consists in defining new that capture similarities between different views. optimization step tries to reduce redundancy size schema. Finally, general results about are presented lead an procedure for a restricted class schemas.
Inclusion dependencies, or INDs (which can say, for example, that every manager is an employee) are studied, including their interaction with functional FDs. A simple complete axiomatization presented, and the decision problem shown to be PSPACE-complete. (The of determining whether not Σ logically implies σ, given a set single IND σ). It finite implication (implication over databases number tuples) same as unrestricted implications INDs, although distinct FDs taken together. that, there...
Currently, large language models (LLMs) are the state of art for pre-trained models. LLMs have been applied to many tasks, including question and answering over Knowledge Graphs (KGs) text-to-SPARQL, that is, translation Natural Language questions SPARQL queries. With such motivation, this paper first describes preliminary experiments evaluate ability ChatGPT answer NL KGs. Based on these experiments, introduces Auto-KGQAGPT, an autonomous domain-independent framework based text-to-SPARQL....
O objetivo do presente texto é investigar as articulações essenciais de três noções decisivas para a constituição pensamento heideggeriano posterior à assim chamada virada (die Kehre): acontecimento apropriativo (Ereignis), seer (Seyn) e linguagem. Para tanto, deter-nos-emos fundamentalmente na análise algumas passagens importantes escrito Beiträge zur Philosophie (Vom Ereignis). Através desta análise, procuraremos, ao mesmo tempo, revelar em que medida o conceito possui uma relação direta...
Article Free Access Share on The nested context model for hyperdocuments Authors: Marco A. Casanova Centro Cientifico Rio, IBM Brasil, P.O. BOX 4624, 20.001, Rio de Janeiro, RJ, Brasil BrasilView Profile , Luiz Tucherman Maria Julia D. Lima Departamento Informatica, Pontificia Universidade Catolica do R. Marques S. Vicente, 225, 22.453, José L. Rangel Netto Noemi Rodriquez F. G. Soares Authors Info & Claims HYPERTEXT '91: Proceedings of the third annual ACM conference HypertextSeptember 1991...
Statistical data is one of the most important sources information, relevant for large numbers stakeholders in governmental, scientific and business domains alike. In this article, we overview how statistical can be managed on Web. With OLAP2 Data Cube CSV2 present two complementary approaches to extract publish data. We also discuss linking, repair visualization As a comprehensive use case, report extraction publishing Web describing 10 years life Brazil.
Identifying and monitoring students who are likely to dropout is a vital issue for universities. Early detection allows institutions intervene, addressing problems retaining students. Prior research into the early of at-risk has opted use predictive models, but comprehensive assessment suitability different algorithms approaches complicated by large number variable features that constitute student's educational experience. Predictive models vary in terms their amplitude, temporality learning...
This article presents a novel and highly interactive process to generate natural language narratives based on our ongoing work semiotic relations, providing four criteria for composing new from existing stories. The wide applicability of this reconstruction is suggested by reputed literary scholar's deconstructive claim that can often be shown tissue previous narratives. Along, respectively, three axes – syntagmatic, paradigmatic, meronymic stories yield the combination, imitation, or...
Text-to-SQL prompt strategies based on Large Language Models (LLMs) achieve remarkable performance well-known benchmarks. However, when applied to real-world databases, their is significantly less than for these benchmarks, especially Natural (NL) questions requiring complex filters and joins be processed. This paper then proposes a strategy compile NL into SQL queries that incorporates dynamic few-shot examples leverages the services provided by database keyword search (KwS) platform. The...