Automatic Profile Generation for Visual-Impaired Users

Currently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Automatic Profile Generation for Visual-Impaired Users

Currently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Incorporating generalized quantifiers into description logic for representing data source contents

Title from cover. "January 1998."Includes bibliographical references (p. 19-21).Steven Yi-cheng Tu and Stuart E. Madnick

Automatic Profile Generation for Visual-Impaired Users

Currently, there are a growing number of tools that allow web developers to evaluate the accessibility of their web pages and sites. Many tools also prompt the developer to make specific repairs; and some tools automatically follow links to evaluate multiple pages within a site or within an entire domain. Although tools such as these can be very useful to identify accessibility problems, many accessibility issues are subjective and cannot be assessed without manual inspection. We believe that accessibility assessment and repair should be addressed as related activities intelligently supported. To do so, a main aspect to be considered is the automatic identification of user disabilities. In this paper we introduce an agent-based solution to tackle this problem. The agent is conceived to provide knowledge for the creation and classification of visually-impaired users profiles in terms of stereotypes. We apply and test the performance of our agent by profiling surveyed users. Our solution will be part of a multi-agent system to drive intelligently the accessibility conformance process.Sociedad Argentina de Informática e Investigación Operativa (SADIO

The design and development of multi-agent based RFID middleware system for data and devices management

Thesis (D. Tech. (Electrical Engineering)) - Central University of technology, Free State, 2012Radio frequency identification technology (RFID) has emerged as a key technology for automatic identification and promises to revolutionize business processes. While RFID technology adoption is improving rapidly, reliable and widespread deployment of this technology still faces many significant challenges. The key deployment challenges include how to use the simple, unreliable raw data generated by RFID deployments to make business decisions; and how to manage a large number of deployed RFID devices. In this thesis, a multi-agent based RFID middleware which addresses some of the RFID data and device management challenges was developed. The middleware developed abstracts the auto-identification applications from physical RFID device specific details and provides necessary services such as device management, data cleaning, event generation, query capabilities and event persistence. The use of software agent technology offers a more scalable and distributed system architecture for the proposed middleware. As part of a multi-agent system, application-independent domain ontology for RFID devices was developed. This ontology can be used or extended in any application interested with RFID domain ontology. In order to address the event processing tasks within the proposed middleware system, a temporal-based RFID data model which considers both applications’ temporal and spatial granules in the data model itself for efficient event processing was developed. The developed data model extends the conventional Entity-Relationship constructs by adding a time attribute to the model. By maintaining the history of events and state changes, the data model captures the fundamental RFID application logic within the data model. Hence, this new data model supports efficient generation of application level events, updating, querying and analysis of both recent and historical events. As part of the RFID middleware, an adaptive sliding-window based data cleaning scheme for reducing missed readings from RFID data streams (called WSTD) was also developed. The WSTD scheme models the unreliability of the RFID readings by viewing RFID streams as a statistical sample of tags in the physical world, and exploits techniques grounded in sampling theory to drive its cleaning processes. The WSTD scheme is capable of efficiently coping with both environmental variations and tag dynamics by automatically and continuously adapting its cleaning window size, based on observed readings

Design methodology for ontology-based multi-agent applications (MOMA)

Software agents and multi-agent systems (MAS) have grown into a very active area of research and commercial development activity. There are many current emerging real-world applications spanning multitude of diverse domains. In the context of agents, ontology has been widely recognised for their significant benefits to interoperability, reusability, and both development and operational aspects of agent systems and applications. Ontology-based multi-agent systems (OBMAS) exploit these advantages in providing intelligent and semantically aware applications. In addressing the lack of support for ontology in existing methodologies for multi-agent development, this thesis proposes a design methodology for the building of such intelligent multi-agent applications called MOMA. This alternative approach focuses on the development of ontology as the driving force of the development process. By allowing the domain and characteristics of utilisation and experimentation to be dictated through ontology, researchers and domain experts can specify the agent application without any knowledge of agent design and lower level programming. Through the use of a structured ontology model and the use of integrated tools, this approach contributes towards the building of semantically aware intelligent applications for use by researchers and domain experts. MOMA is evaluated through case studies in two different domains: financial services and e-Health