Search results for " Information Retrieval"
showing 10 items of 80 documents
Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes
2013
The effective communication between user and systems is one main aim in the Multimedia Information Retrieval field. In this paper the modality classification of images is used to expand the user queries within the ImageCLEF Medical Retrieval collection provided by organizers. Our main contribution is to show how and when results can be improved by understanding modality-related challenges. To do so, a detailed analysis of the results of the experiments carried out is presented and the comparison between these results shows that the improvement using modality class query expansion is query-dependent.
Estrategias de búsqueda de artículos de revistas españolas. Estudio de un caso: evaluación de la calidad de los sistemas de información
1995
ResumenObjetivosDescribir un procedimiento sistemático para la recuperación exhaustiva de trabajos publicados en revistas españolas sobre evaluación de los sistemas de información clínicos y sanitarios (1983–1992) y analizar los términos útiles, el aporte y los fallos de las fuentes.MétodosComo fuentes para la identificación de trabajos se ha utilizado la base de datos Índice Médico Español (IME), los sumarios de revistas y la bibliografía de los trabajos recuperados. Como variables de análisis se han utilizado los términos coincidentes entre perfil de búsqueda, títulos y palabras clave; Índices de aporte, aporte específico y solapamiento; y fallos del usuario, actualización y cobertura.Res…
On Analytical vs . Schizophrenic Procedures for Computing Music
2009
The authors present a perspective on computer music, which is based on some particular definitions of music in relation to oral culture and cybernetics. They describe some experiments with different models of neural architectures which generate original music, and then suggest that if such neural systems are rich, effective and intuitive enough to produce ‘live’ music, the understanding of their behaviour may require the development of some ‘schizophrenic’ procedures, as well as analytical ones.
Upper bound on the communication complexity of private information retrieval
1997
We construct a scheme for private information retrieval with k databases and communication complexity O(n 1/(2k−1) ).
Interactive Gradually Generating Relevance Query Refinement Under the Human-Mediated Scenario in Multilingual Settings
2016
As opposed to query modelling, relevance generating interactive query refinement (QR) is a technique aimed at exploiting syntax variations of gradually extended, being removed or replaced with some other keywords query, which depending on the factors like e.g. the information resource, the database structure, or the keyword alignment, facilitates significantly the searching process. Therefore our motivation is to explore the dynamism of the precision trend depended upon the factors analyzed. For a couple of language pairs which constitute multilingual settings, we develop a user-centred framework that imposes distributed search optimization. Our data set contains variety of query types subm…
Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections
2011
A scheme for identifying the semantic layers of music-related tags is presented. Arguments are provided why the applications of the tags cannot be effectively pursued without a reasonable understanding of their semantic qualities. The identification scheme consists of a set of filters. The first is related with social consensus, user-count ratio, and n-gram properties of tags. The next relies on look-up functions across multiple databases to determine the probable semantic layer of each tag. Examples of the semantic layers with prevalence rates are given based on application of the scheme to a subset of the Million Song Dataset. Finally, a validation of the results was carried out with an i…
EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations
2021
Everyday digital tasks can highly benefit from systems that recommend the right information to use at the right time. However, existing solutions typically support only specific applications and tasks. In this demo, we showcase EntityBot, a system that captures context across application boundaries and recommends information entities related to the current task. The user’s digital activity is continuously monitored by capturing all content on the computer screen using optical character recognition. This includes all applications and services being used and specific to individuals’ computer usages such as instant messaging, emailing, web browsing, and word processing. A linear model is then …
U-MedSearch: A Meta Search Engine of Medical Content for Different Users and Learning Needs
2015
More and more people use Internet to look for medical information for understanding and learning but different users, such as experts (e.g., physicians) and consumers (e.g., patients), have different needs and bring different levels of reading ability and prior knowledge. Generic and specific search engines and specialized health sites either do not exploit the whole web or overload users with information of different nature. On the contrary, it is important for a user to immediately find the information on the topic being explored that has the 'right' amount of information and level of complexity. This paper presents a meta search engine of medical information on the web, U-MedSearch, that…
Finding the best web medical content for different learner categories
2015
In the age of Internet where any kind of information can be easily found online, it is becoming increasingly evident that more and more people use the World Wide Web to seek health and medical information for understanding and learning. Different users have diverse needs, even when searching for the same topic. This is certainly true in healthcare, where a patient, a physician or a health executive might look for information on the same topic but have different necessities and bring different levels of reading ability and prior knowledge together with a different vocabulary. Generic search engines (like Google, Bing or Yahoo) work on the whole web but make generic searches often overloading…
Mobile agent application fields
2004
Publisher Summary Mobile agents are a recent paradigm for software design, which extends object oriented programming features. An agent can perform its task autonomously; a mobile agent can carry out complex tasks that require the agent to migrate from a network place to another one. Mobile agent application fields are many. It can replace web services in other cases, mobile agents and web services can be an effective solution together. The chapter discusses the three mobile agent application fields, which are: parallel and distributed computing, data mining and information retrieval, and networking. An overview of the development platforms is also discussed. Data mining and information ret…