José Palazzo Moreira de Oliveira

Conceptual Modeling - ER 2009

ER 30th Anniversary Paper.- Thirty Years of ER Conferences: Milestones, Achievements, and Future Directions.- Keynotes.- A Frame Manipulation Algebra for ER Logical Stage Modelling.- Conceptual Modeling in the Time of the Revolution: Part II.- Data Auditor: Analyzing Data Quality Using Pattern Tableaux.- Schema AND Data: A Holistic Approach to Mapping, Resolution and Fusion in Information Integration.- Conceptual Modeling.- A Generic Set Theory-Based Pattern Matching Approach for the Analysis of Conceptual Models.- An Empirical Study of Enterprise Conceptual Modeling.- Formalizing Linguistic Conventions for Conceptual Models.- Requirements Engineering.- Monitoring and Diagnosing Malicious Attacks with Autonomic Software.- A Modeling Ontology for Integrating Vulnerabilities into Security Requirements Conceptual Foundations.- Modeling Domain Variability in Requirements Engineering with Contexts.- Foundational Aspects.- Information Networking Model.- Towards an Ontological Modeling with Dependent Types: Application to Part-Whole Relations.- Inducing Metaassociations and Induced Relationships.- Query Approaches.- Tractable Query Answering over Conceptual Schemata.- Query-By-Keywords (QBK): Query Formulation Using Semantics and Feedback.- Cluster-Based Exploration for Effective Keyword Search over Semantic Datasets.- Space and Time Modeling.- Geometrically Enhanced Conceptual Modelling.- Anchor Modeling.- Evaluating Exceptions on Time Slices.- Schema Matching and Integration.- A Strategy to Revise the Constraints of the Mediated Schema.- Schema Normalization for Improving Schema Matching.- Extensible User-Based XML Grammar Matching.- Ontology-Based Approaches.- Modeling Associations through Intensional Attributes.- Modeling Concept Evolution: A Historical Perspective.- FOCIH: Form-Based Ontology Creation and Information Harvesting.- Specifying Valid Compound Terms in Interrelated Faceted Taxonomies.- Application Contexts.- Conceptual Modeling in Disaster Planning Using Agent Constructs.- Modelling Safe Interface Interactions in Web Applications.- A Conceptual Modeling Approach for OLAP Personalization.- Creating User Profiles Using Wikipedia.- Process and Service Modeling.- Hosted Universal Composition: Models, Languages and Infrastructure in mashArt.- From Static Methods to Role-Driven Service Invocation - A Metamodel for Active Content in Object Databases.- Business Process Modeling: Perceived Benefits.- Industrial Session.- Designing Law-Compliant Software Requirements.- A Knowledge-Based and Model-Driven Requirements Engineering Approach to Conceptual Satellite Design.- Virtual Business Operating Environment in the Cloud: Conceptual Architecture and Challenges.

Collaboration recommendation on academic social networks

In the academic context, scientific research works are often performed through collaboration and cooperation between researchers and research groups. Researchers work in various subjects and in several research areas. Identifying new partners to execute joint research and analyzing the level of cooperation of the current partners can be very complex tasks. Recommendation of new collaborations may be a valuable tool for reinforcing and discovering such partners. This paper presents an innovative approach to recommend collaborations on the context of academic Social Networks. Specifically, we introduce the architecture for such approach and the metrics involved in recommending collaborations. We also present an initial case study to validate our approach.

Using link semantics to recommend collaborations in academic social networks

Social network analysis (SNA) has been explored in many contexts with different goals. Here, we use concepts from SNA for recommending collaborations in academic networks. Recent work shows that research groups with well connected academic networks tend to be more prolific. Hence, recommending collaborations is useful for increasing a groups connections, then boosting the group research as a collateral advantage. In this work, we propose two new metrics for recommending new collaborations or intensification of existing ones. Each metric considers a social principle (homophily and proximity) that is relevant within the academic context. The focus is to verify how these metrics influence in the resulting recommendations. We also propose new metrics for evaluating the recommendations based on social concepts (novelty, diversity and coverage) that have never been used for such a goal. Our experimental evaluation shows that considering our new metrics improves the quality of the recommendations when compared to the state-of-the-art.

Adaptive Web-Based Courseware Development Using Metadata Standards and Ontologies

Nowadays, the web enormously facilitates the information distribution and communication among teachers and students setting the stage for the development of Web-based courseware. In this context, adaptability is a key feature in order to obtain educational environments capable of giving the adequate instruction for the specific learning profile of each individual learner. Using the Web as the ubiquitous repository of educative content, standards for metadata to describe resources on the e-learning domain must be used in order to enable interoperability and reuse of learning content. To enable intelligent behavior in building complex learning objects ”on demand” customized for an intended audience, ontologies can be used to represent the knowledge the system has on the domain to be taught and on the student profile. This paper briefly describes the main steps taken in developing an Adaptive Web Training Environment, delving into the definition of a new application profile of the Learning Object Metadata (LOM) standard and the Domain and Student Knowledge Models design and implementation as Web ontologies.

Towards a framework for weaving social networks principles into web services discovery

Despite the regular updates of the existing discovery techniques, the discovery of Web services continues to exacerbate users due to the large number of available Web services on the Internet. Different needs trigger the discovery of Web services such as developing new, value-added composite services and sustaining the high availability of other peers. These needs reveal three types of relationships between Web services, which are substitution, competition, and collaboration. The proposed framework includes tools that capture and update these relationships into social networks so that Web services discovery can be made smooth. Some implementation and simulation details are, also, discussed in this paper.

An ontological approach for the quality assessment of computer science conferences

Today the proliferation of the availability of the information of scientific events on the Web has created the necessity to offer a quickly access to upto-date information about the quality of these events. This requirement demands for (semi) automatic tools to speedily provide this information. The human-performed activity of the information quality evaluation is extremely time consuming and easily leads to failures. The application OntoQualis here described was motivated to support the quality evaluation of Scientific Conferences, in the Computer Science area, based on the graduated programs evaluation protocol of the Brazilian agency CAPES. The evaluation mechanism is specified in the QUALIS document specifically designed to assess journals and conferences ranking. This paper presents a brief vision of the ongoing process of domain analysis and ontology prototyping aiming to classify Scientific Conferences: the OntoQualis project. Some results of OntoQualis preliminary evaluation have shown a satisfactory classification level in comparison with CAPES-QUALIS ranking.

Web-adaptive training system based on cognitive student style

This paper presents the results of the Project ‘Tapejara’ — intelligent training system on the intemet, a Brazilian Research Council funded project with a partnership of two universities and a Telecom company. This research project uses the students’ cognitive learning styles (CLS) to customise course presentation. The CLS is acquired from a sample of telecommunication organisation employees. Individual CLSs are correlated with the students’ learning trajectories, allowing automated style identification. Based on the CLS identification, an intelligent agent generates the best-adapted content presentation for each student.

Evaluating Quality of Health Information Sources

The Web is an important source for people who are seeking healthcare information. Users, who search for health information online, do so without professional guidance. A major problem faced is the possibility that poor information has detrimental effects on health. In this sense, the main goal of this work is to provide a framework that evaluates health web page designed especially for common users, those that may lack sufficient knowledge to validate health content. In order to achieve this goal, we proposed a new methodology to calculate a Trust rank based on reputation and a set of quality indicators. The proposed methodology has shown effective to evaluate the quality of health information sources.

An Object-Oriented Approach to a Temporal Query Language

Time constraints and the temporal dimension are an essential aspect in many real world systems, like cooperative work and industrial production systems. Traditional database systems support these features only through application programs. The recent tendency consists of representing the temporal aspects in the database schema and in the corresponding query language and supporting them directly in the DBMS. In this paper the different aspects of adding the temporal dimension in an object-oriented data model are analyzed and a classification scheme is proposed for the types of possible queries. Based on this classification, a query language for the object-oriented TF-ORM data model is presented and discussed in detail. In TF-ORM. both transaction and valid times are associated to data, and the query language is used to retrieve information about the database current valid information, about past valid values, and about past histories.

Applying Text Mining on Electronic Messages for Competitive Intelligence

This paper presents an application of text mining to support Competitive Intelligence (CI). A case study was built using the ETO System, which enables trade-related bodies to exchange information by e-mail. As this information is available in textual formats, we used text-mining tools to support the CI process. The strategy uses domain knowledge to extract concepts from the texts. A mining tool searches for patterns in concept distributions and correlations, aiding the identification of strategic information. The main contribution of the paper is the use of an inexpensive strategy to allow a competitive advantage to Small and Medium Enterprises with minimal cost.