National experimental projects tabulation.

Mode of access: Internet.

Problems in bibliographic access to non-print materials : final report /

Mode of access: Internet.

National drug code directory.

Vols. for 1970-1972 published by the Public Health Service; 1976- by the Public Health Service, Food and Drug Administration; 1980- by the U.S. Dept. of Health and Human Services, Public Health Service, Food and Drug Administration.

The National Geographic Names Data Base :

Mode of access: Internet.

CANDE user manual /

Mode of access: Internet.

U.S. government environmental datafiles & software : microcomputers & mainframes.

"3/94"--P [4] of cover.

CA headings list /

CA index headings and cross-references for 9th-11th Collective Indexes, 1972-1986.

Ontology-based Classification of News in an Electronic Newspaper

This paper deals with the classification of news items in ePaper, a prototype system of a future personalized newspaper service on a mobile reading device. The ePaper system aggregates news items from various news providers and delivers to each subscribed user (reader) a personalized electronic newspaper, utilizing content-based and collaborative filtering methods. The ePaper can also provide users "standard" (i.e., not personalized) editions of selected newspapers, as well as browsing capabilities in the repository of news items. This paper concentrates on the automatic classification of incoming news using hierarchical news ontology. Based on this classification on one hand, and on the users' profiles on the other hand, the personalization engine of the system is able to provide a personalized paper to each user onto her mobile reading device.

El portafolio: En zapatos de estudiante

Propuesta de trabajo y evaluación del modelo constructivista “portafolio", usado como metodología de enseñanza-aprendizaje en dos de los cursos que presentan mayor dificultad para los estudiantes de la Escuela de Bibliotecología, Documentación e Información: Almacenamiento y Recuperación de Información 1 y Metodología de la Investigación. Esta metodología se implementó como una respuesta a la necesidad de desarrollar un proceso que permita a los estudiantes asimilar los contenidos de los cursos de acuerdo con sus propias experiencias y concepciones.La metodología fue evaluada para determinar su efectividad en el proceso enseñanza aprendizaje, esta evaluación se realizó en el transcurso del semestre y al final del mismo, a través de un cuestionario, un taller de evaluación y la revisión del portafolio elaborado por los estudiantes.La propuesta y la evaluación de loa resultados se presenta en este trabajo, como una experiencia exitosa que fue afectada por aspectos negativos, que pueden mejorarse.

Task-based annotation and retrieval for image information management

Continuing advances in digital image capture and storage are resulting in a proliferation of imagery and associated problems of information overload in image domains. In this work we present a framework that supports image management using an interactive approach that captures and reuses task-based contextual information. Our framework models the relationship between images and domain tasks they support by monitoring the interactive manipulation and annotation of task-relevant imagery. During image analysis, interactions are captured and a task context is dynamically constructed so that human expertise, proficiency and knowledge can be leveraged to support other users in carrying out similar domain tasks using case-based reasoning techniques. In this article we present our framework for capturing task context and describe how we have implemented the framework as two image retrieval applications in the geo-spatial and medical domains. We present an evaluation that tests the efficiency of our algorithms for retrieving image context information and the effectiveness of the framework for carrying out goal-directed image tasks. © 2010 Springer Science+Business Media, LLC.

Efficient Storage and Domain-Specific Information Discovery on Semistructured Documents

The increasing amount of available semistructured data demands efficient mechanisms to store, process, and search an enormous corpus of data to encourage its global adoption. Current techniques to store semistructured documents either map them to relational databases, or use a combination of flat files and indexes. These two approaches result in a mismatch between the tree-structure of semistructured data and the access characteristics of the underlying storage devices. Furthermore, the inefficiency of XML parsing methods has slowed down the large-scale adoption of XML into actual system implementations. The recent development of lazy parsing techniques is a major step towards improving this situation, but lazy parsers still have significant drawbacks that undermine the massive adoption of XML. Once the processing (storage and parsing) issues for semistructured data have been addressed, another key challenge to leverage semistructured data is to perform effective information discovery on such data. Previous works have addressed this problem in a generic (i.e. domain independent) way, but this process can be improved if knowledge about the specific domain is taken into consideration. This dissertation had two general goals: The first goal was to devise novel techniques to efficiently store and process semistructured documents. This goal had two specific aims: We proposed a method for storing semistructured documents that maps the physical characteristics of the documents to the geometrical layout of hard drives. We developed a Double-Lazy Parser for semistructured documents which introduces lazy behavior in both the pre-parsing and progressive parsing phases of the standard Document Object Model's parsing mechanism. The second goal was to construct a user-friendly and efficient engine for performing Information Discovery over domain-specific semistructured documents. This goal also had two aims: We presented a framework that exploits the domain-specific knowledge to improve the quality of the information discovery process by incorporating domain ontologies. We also proposed meaningful evaluation metrics to compare the results of search systems over semistructured documents.

Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

The influence of consumption vocabulary on the encoding and retrieval of haptic information

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics