Social Network Analysis

An Introduction to MultiAgent Systems.

The collection of digital information by governments, corporations, and individuals has created tremendous opportunities for knowledge- and information-based decision making. Driven by mutual benefits, or by regulations that require certain data to be published, there is a demand for the exchange and publication of data among various parties. Data in its original form, however, typically contains sensitive information about individuals, and publishing such data will violate individual privacy. The current practice in data publishing relies mainly on policies and guidelines as to what types of data can be published and on agreements on the use of published data. This approach alone may lead to excessive data distortion or insufficient protection. Privacy-preserving data publishing (PPDP) provides methods and tools for publishing useful information while preserving data privacy. Recently, PPDP has received considerable attention in research communities, and many approaches have been proposed for different data publishing scenarios. In this survey, we will systematically summarize and evaluate different approaches to PPDP, study the challenges in practical data publishing, clarify the differences and requirements that distinguish PPDP from other related problems, and propose future research directions.

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Privacy-preserving data publishing: A survey of recent developments

https://lbd.udc.es/jornadas2011/actas/JISBD/JISBD/S6/YaPublicados/benavides11_is_jisbdArchitecturasLP.pdf

Automated analysis of feature models 20 years later: A literature review

About the Authors.Preface.Note to the Reader.Acknowledgments.Figures.Tables.Listings.I Basics.1. Computing with Services.2. Basic Standards for Web Services.3. Programming Web Services.4. Enterprise Architectures.5. Principles of Service-Oriented Computing.II Description.6. Modeling and Representation.7. Resource Description Framework.8. Web Ontology Language.9. Ontology Management.III Engagement.10. Execution Models.11. Transaction Concepts.12. Coordination Frameworks for Web Services.13. Process Specifications.14. Formal Specification and Enactment.IV Collaboration.15. Agents.16. Multiagent Systems.17. Organizations.18. Communication.V Solutions.19. Semantic Service Solutions.20. Social Service Selection.21. Economic Service Selection.VI Engineering.22. Building SOC Applications.23. Service Management.24. Security.VII Directions.25. Challenge and Extensions.VIII Appendices.Appendix A: XML and XML Schema.Appendix B: URI, URN, URL and UUID.Appendix C: XML Namespace Abbreviations.Glossary.About the Authors.Bibliography.Index.

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Service-Oriented Computing: Semantics, Processes, Agents

Conceptual Structures: Fulfilling Peirce's Dream

Conceptual Structures: Broadening the Base

In Peirce’s account of the normative sciences, logical validity and truth ultimately rely upon – though they are not reduced to – ethical and esthetic insight. An examination of the relations among critical esthetics, ethics and logic in Peirce’s system suggests a possible account of the logic of creative discovery, which Peirce identified as abductive inference.

Conceptual Structures at Work

The database inference problem is a well-known problem in database security and information system security in general. In order to prevent an adversary from inferring classified information from combinations of unclassified information, a database inference analyst must be able to detect and prevent possible inferences. Detecting database inference problems at database design time provides great power in reducing problems over the lifetime of a database. We have developed and constructed a system called Wizard to analyze databases for their inference problems. The system takes as input a database schema, its constituent instances (if available) and additional human-supplied domain information, and provides a set of associations between entities and/or activities that can be grouped by their potential severity of inference vulnerability. A knowledge acquisition process called microanalysis permits semantic knowledge of a database to be incorporated into the analysis using conceptual graphs. These graphs are then analyzed with respect to inference-relevant domains we call facets using tools we have developed. We can determine inference problems within single facets as well as some inference problems between two or more facets. The architecture of the system is meant to be general so that further refinements of inference information subdomains can be easily incorporated into the system.

Wizard: a database inference analysis and detection system

In recent years much work has been performed in developing suites of metrics that are targeted for object oriented software, rather than functionally oriented software. This is necessary since good object oriented software has several characteristics, such as inheritance and polymorphism, that are not usually present in functionally oriented software. However, all of these object oriented metrics suites have been defined using only syntactic aspects of object oriented software; indeed, the earlier functionally oriented metrics were also calculated using only syntactic information. All syntactically oriented metrics have the problem that the mapping from the metric to the quality the metric purports to measure, such as the software quality factor "cohesion", is indirect, and often arguable. Thus, a substantial amount of research effort goes into proving that these syntactically oriented metrics actually do measure their associated quality factors. The paper introduces a new suite of semantically derived object oriented metrics, which provide a more direct mapping from the metric to its associated quality factor than is possible using syntactic metrics. These semantically derived metrics are calculated using knowledge based, program understanding, and natural language processing techniques.

Harry S. Delugach

Papers

Conceptual Structures: Fulfilling Peirce's Dream

Conceptual Structures: Broadening the Base

Conceptual Structures at Work

Wizard: a database inference analysis and detection system

Towards a semantic metrics suite for object-oriented design