Prototypes and Other Deliverables
From Web Science Brasil
Please register your prototype, web service or other deliverable aligned to the corresponding project goal.
Contents |
People and Society
| Topic | Goals | Deliverables |
|---|---|---|
| Interaction Design | G1. Study the fundamental properties of Web applications as social machines and the theories that could represent a foundation for the interaction design
G2. Develop tools to support Web interaction and navigation for users with special needs such as visual impairment and low levels of functional literacy skills. G3. Develop methods and tools to support the development of interaction mechanisms that make the information sharing explicit and in accordance to the social policy expectation of a community of users. G4. Study the pragmatics of human interaction and communication throughout the Web to understand and explain Web languages, based on semiotics and semiotic engineering, but also linguistics, psychology and philosophy G5. Investigate current tools and interaction paradigms for empowering users to adapt and extend content and services on the Web G6. Study non-speech sound interfaces to improve interactions in the Person-to-Person Computer-Mediated Communications G7. Investigate new interaction techniques and paradigms on the Web G8. Investigate the socio-pragmatics of human interaction with information through Web application, the social and legal rules governing information uses. |
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| Social Networks | G1. Ethnographic Analyses to Understand the social Web
G2. Definition of models for social networks analysis and mining in order to discover patterns, needs and requirements for collaboration support G3. Definition of mechanisms for knowledge discovery and organization from narrative social content G4. Configuration and conceptualization of digital heritage in social networks G5: Analyze and balance social networks G6. Develop tools to support intentional social networks G7: Incorporate autonomic characteristics into the control of social networks G8: Investigate scientific social networks G9: Investigate temporal and mobile social networks |
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| Web and the Individual | G1. Mapping the field
G2. Data collection |
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| Web and Politics | G1. Analysis of the use of the Web in Brazilian elections
G2. Analysis of the Web use by social movements | |
| Web and the Economy | G1. Development of Internet auction data collecting software.
G2. Development and application of econometric techniques to investigate Internet auction data. G3. Development of a decision support framework based on data from the Semantic Web G4. Framework instantiation for the capital markets domain |
Software Technologies for Web Applications
| Topic | Goals | Deliverables |
|---|---|---|
| A Multi-Agent Systems Approach for Developing Autonomic Web Applications | G1. Design techniques to improve the development of autonomic Web applications
G2. Define a framework to support the development of autonomic Web applications |
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| Model-driven Design and Implementation of Web Applications | G1. Define a model-driven framework to support specification, design and implementation of Web applications, seen as part of men-machine teams.
G2. Develop case studies (software product lines) for the Web context G3. Develop methodologies, empirical studies and tools to support the development of software product lines for the Web context |
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| Design and Implementation of Autonomic Workflows | G1: Investigate and prepare the scenario
G2: Develop the autonomic element G3: Integrate sub-workflows G4: Develop autonomic data approach G5: Specialize solution for Web services G6: Analyze the applicability of the solution in other scenarios | |
| Security and Resilience of Web Applications | G1. Define static analysis techniques supporting development approaches for detecting possible threats to application security
G2. Propose a development approach to improve Web-application resilience to faults, enabling them to coexist with faults | |
| Web-based Collaborative Virtual Environments | G1. Investigate the Web as a means for eScience and eLearning through CVEs
G2. Interactive storytelling for Web-based collaborative virtual worlds G3. Interactive storytelling for cultural content production and e-learning in the Web |
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Management of Web Data
| Topic | Goals | Deliverables |
|---|---|---|
| Managing Web Multimedia Data | G1. Definition of new multimedia data descriptors and of storage structures to support their indexing, reuse and composition on the Web
G2. Design and development of mechanisms to annotate multimedia data, and to index and retrieve such annotations, having in mind educational uses on the Web | |
| Accessing the Deep Web | G1. Definition of heuristics for database identification, mediated schema definition and schema matching
G2. Development of query mediators | |
| Developing the Semantic Web | G1. Definition of a method to develop reference domain ontologies based on the composition and alignment of existing (upper level) ontology fragments
G2. Definition of a method for the description, discovery and automated composition of semantic Web services G3. Design techniques to improve the resilience of service-oriented architectures based on Web services G4. Define a framework to support the development of dynamic and resilient Web applications G5. Design and development of a specification and a model to evaluate, and personalize search results according to users’ quality level perspectives |
Research on the Web of Data at the INCT for Web Science (Talk presented at the Workshop of the InWeb - INCT for the Web on Dec. 6th, 2011). The Web of Data consists of interlinked data, published in a standard format and using uniform identifiers. It provides a simple strategy to describe and publish data openly, circumventing some of the typical problems faced by database federations or by databases available on the Web. However, publishing and accessing large datasets on the Web of Data poses interesting challenges. Furthermore, the relationship between the technology that supports the Web of Data and the current technology to publish databases on the Web is still poorly resolved. In this presentation, we will first give a brief overview of research at the INCT of Web Science. Then, we survey the key concepts and technologies that support the Web of Data. Finally, we concentrate on some of the recent research on this topic carried out at the INCT of Web Science and outline future work. |
| Knowledge Discovery on the Web | G1. Develop learning algorithms for classification and regression problems
G2. Develop machine learning frameworks with EPM implementation for large volumes of data |
Natural Language Processors (LEARN - INF/PUC-Rio) http://www.learn.inf.puc-rio.br/fextws The F-EXT-WS system freely provides natural language processors in the Web. The following multilingual processors are currently provided:
The service has been freely used by researchers at multiple institutions. |
Web Infrastructure
| Topic | Goals | Deliverables |
|---|---|---|
| Future Internet Architectures | G1. Design and deploy a testbed for R&D in network architectures
G2. Explore new design approaches aiming at Web Applications G3. Design and implementation of a measurement infrastructure for the testbed G4. Design, deployment and use of a wireless testbed for research on the impact of mobility on web applications |
MEMORANDUM OF UNDERSTANDING Agreement INCT Web Science and WSTNet |
| Ubiquitous and Location-aware Web | G1. Develop prototype location-aware Web services
G2. Develop frameworks and middleware services that ease the development of such ULW applications |
Foundations of Web Science
| Topic | Goals | Deliverables |
|---|---|---|
| Algorithms and Complexity for the Web graph | G1. Define algorithms in graphs, and / or negative results for combinatorial problems | |
| Applied and Computational Mathematics / Optimization | G1. Implementation of a continuous optimization library with and without constraints.
G2. Development of new methods for implicit enumeration in combinatorial optimization, column generation and cutting planes. G3. Implementation of metaheuristics aiming to search for lower bounds (in maximization) and upper bounds (in minimization). | |
| Modeling the Web | G1. Study robustness/scalability issues of P2P systems and develop robustness models for those.
G2. Development of methods, tools and techniques for e-learning G3. Development of algorithms for P2P systems G4. Model the future Web graph |
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