Acceso a los recursos web gratuitos desde las bibliotecas

Se describen y analizan los sistemas que utilizan actualmente las bibliotecas para facilitar a sus usuarios el acceso a los recursos web gratuitos. En primer lugar se acota el ámbito de estudio a este tipo concreto de recursos y se ponen de relieve los principales problemas que tienen los localizadores para su identificación y recuperación. Los modelos que siguen las bibliotecas para organizar los recursos web son básicamente tres: la elaboración de listas, la creación de bases de datos de recursos y la integración de éstos en el catálogo. Este estudio se centra en la descripción, identificación y caracterización de los dos últimos modelos; se destacan las principales experiencias y se comentan los criterios de selección, el tipo de descripción, los sistemas de indización y clasificación, el sistema de recuperación de la información y la política de mantenimiento utilizados en cada uno de ellos. Finalmente, se indican las tendencias actuales en ese ámbito y se presentan unas consideraciones sobre cómo pueden abordar las bibliotecas españolas la organización de estos recursos.

Avaluació de les metadades com a eina d'indexació i recuperació al web de la Biblioteca de la Universitat de Barcelona

Coincidint amb la renovació del web de la Biblioteca de la Universitat de Barcelona, al mes de juny s'inicià un procés d'avaluació amb l'objectiu de replantejar la utilització de les metadades com a eina d'indexació i recuperació de continguts de pàgines web. L'article s'estructura en tres parts principals. En una primera part, s'estableixen els antecedents del web de la Biblioteca, l'origen i la forma de la inclusió de metadades en les seves pàgines i l'evolució del tema fins a arribar al moment de l'avaluació. Tot seguit, s'exposen totes les dades analitzades en el procés d'avaluació fet, partint de conceptes i aspectes teòrics fonamentals de l'anàlisi de contingut. L'apartat de conclusions amb què finalitza l'article parteix de la interpretació de les dades dels dos processos de manera relacionada per oferir un seguit d'indicacions o pautes que cal tenir en compte en el replantejament de la utilització de metadades com a eina de representació de contingut i de recuperació d'informació de les pàgines web de la BUB.

Quality of web-based information on bipolar disorder

OBJECTIVE: To evaluate web-based information on bipolar disorder and to assess particular content quality indicators. METHODS: Two keywords, "bipolar disorder" and "manic depressive illness" were entered into popular World Wide Web search engines. Websites were assessed with a standardized proforma designed to rate sites on the basis of accountability, presentation, interactivity, readability and content quality. "Health on the Net" (HON) quality label, and DISCERN scale scores were used to verify their efficiency as quality indicators. RESULTS: Of the 80 websites identified, 34 were included. Based on outcome measures, the content quality of the sites turned-out to be good. Content quality of web sites dealing with bipolar disorder is significantly explained by readability, accountability and interactivity as well as a global score. CONCLUSIONS: The overall content quality of the studied bipolar disorder websites is good.

Search and Discovery : OER's Open Loop

Open educational resources (OER) promise increased access, participation, quality, and relevance, in addition to cost reduction. These seemingly fantastic promises are based on the supposition that educators and learners will discover existing resources, improve them, and share the results, resulting in a virtuous cycle of improvement and re-use. By anecdotal metrics, existing web scale search is not working for OER. This situation impairs the cycle underlying the promise of OER, endangering long term growth and sustainability. While the scope of the problem is vast, targeted improvements in areas of curation, indexing, and data exchange can improve the situation, and create opportunities for further scale. I explore the way the system is currently inadequate, discuss areas for targeted improvement, and describe a prototype system built to test these ideas. I conclude with suggestions for further exploration and development.

TU Graz: Course: 707.000 Web Science and Web Technology: Lecture 11: User Intentions and Intentional Structures on the Web

Search engines - such as Google - have been characterized as "Databases of intentions". This class will focus on different aspects of intentionality on the web, including goal mining, goal modeling and goal-oriented search. Readings: M. Strohmaier, M. Lux, M. Granitzer, P. Scheir, S. Liaskos, E. Yu, How Do Users Express Goals on the Web? - An Exploration of Intentional Structures in Web Search, We Know'07 International Workshop on Collaborative Knowledge Management for Web Information Systems in conjunction with WISE'07, Nancy, France, 2007. [Web link] Readings: Automatic identification of user goals in web search, U. Lee and Z. Liu and J. Cho WWW '05: Proceedings of the 14th International World Wide Web Conference 391--400 (2005) [Web link]

ARI: Agent Recaptador d'Informació : desenvolupament d'una aplicació que reculli informació de portals web dedicats a la gestió de premsa

Tenint en compte l’evolució a Internet dels portals d’informació dels mitjans de comunicació, sorgeix la idea d’un motor de cerca orientat a la recaptació de notícies dispersades per les diferents pàgines web dels grans mitjans de comunicació espanyols, que permetés obtenir informació sobre “descriptors contractats” pels usuaris d’un portal. El primer objectiu és l’anàlisi de les necessitats que es volen cobrir per a un hipotètic client de l’aplicació, el segon és en l’àmbit algorítmic, cal obtenir una metodologia de treball que permeti l’obtenció de la notícia. En l’àmbit de la programació es consideren tres etapes: descarregar les pàgines web necessàries, que es farà mitjançant les eines que proporciona la llibreria cUrl; l’anàlisi de les notícies (obtenir tots els enllaços que corresponen a notícies, filtrar els descriptors per decidir si cal guardar la notícia, analitzar l’estructura interna de les notícies seleccionades per guardar-ne només les parts establertes), i la base de dades que ens ha de permetre organitzar i gestionar les notícies escollides

Motor de cerca iSAC (Servei Intel·ligent d'Atenció Ciutadana Via Web)

El projecte iSAC (Servei Intel·ligent d’Atenció Ciutadana via web) es va iniciar el mes de gener de 2006 amb l’ajut del nou coneixement científic en agents intel·ligents, junt amb l’aplicació de les Tecnologies de la Informació i la Comunicació (TIC) i els cercadors. Actualment, el servei actual d’atenció al ciutadà està composat per dues àrees: l’atenció directa a les oficines i l’atenció telefònica a través del Call Center. Les limitacions de personal i horari d’atenció fan que aquest servei perdi eficàcia. Es vol desenvolupar un producte amb una tecnologia capaç d’ampliar i millorar la capacitat i la qualitat de l’atenció ciutadana en les administracions públiques, sigui quina sigui la seva dimensió. Tot i això, aquest projecte l’explotaran especialment els ajuntaments, als quals la ciutadania s'acosta amb tot tipus de preguntes i dubtes, habitualment no restringides a l'àmbit local. Més concretament, es vol automatitzar a través d’un portal web l’atenció al ciutadà per tal d’obtenir un servei més efectiu

Entity-based semantic search on conversational transcripts semantic

This paper describes the implementation of a semantic web search engine on conversation styled transcripts. Our choice of data is Hansard, a publicly available conversation style transcript of parliamentary debates. The current search engine implementation on Hansard is limited to running search queries based on keywords or phrases hence lacks the ability to make semantic inferences from user queries. By making use of knowledge such as the relationship between members of parliament, constituencies, terms of office, as well as topics of debates the search results can be improved in terms of both relevance and coverage. Our contribution is not algorithmic instead we describe how we exploit a collection of external data sources, ontologies, semantic web vocabularies and named entity extraction in the analysis of underlying semantics of user queries as well as the semantic enrichment of the search index thereby improving the quality of results.

Gender and consumer search of the internet

The role of gender differences in the consumption of goods and services is well established in many areas of consumer behaviour and computer use and yet there has been only limited research into such gender-based differences in the information search behaviour of Internet users. This paper reports the gender-based results of an exploratory study of consumer external information search of the web. The study investigated consumer characteristics, web search behaviour, and the post web search outcomes of purchase decision status and consumer judgements of search usefulness and satisfaction. Gender-based differences are reported in all three areas. Consideration of the results suggests they are issues which could inhibit the adoption of online purchasing by female web users. The implications of these results are discussed and a future research agenda proposed.

Calculation of target locations for web resources

A location-based search engine must be able to find and assign proper locations to Web resources. Host, content and metadata location information are not sufficient to describe the location of resources as they are ambiguous or unavailable for many documents. We introduce target location as the location of users of Web resources. Target location is content-independent and can be applied to all types of Web resources. A novel method is introduced which uses log files and IN to track the visitors of websites. The experiments show that target location can be calculated for almost all documents on the Web at country level and to the majority of them in state and city levels. It can be assigned to Web resources as a new definition and dimension of location. It can be used separately or with other relevant locations to define the geography of Web resources. This compensates insufficient geographical information on Web resources and would facilitate the design and development of location-based search engines.

Optimizing search engines results using linear programming

When a query is passed to multiple search engines, each search engine returns a ranked list of documents. Researchers have demonstrated that combining results, in the form of a "metasearch engine", produces a significant improvement in coverage and search effectiveness. This paper proposes a linear programming mathematical model for optimizing the ranked list result of a given group of Web search engines for an issued query. An application with a numerical illustration shows the advantages of the proposed method. © 2011 Elsevier Ltd. All rights reserved.

Site-restricted web searches for data collection in regional dialectology

This article presents a new method for data collection in regional dialectology based on site-restricted web searches. The method measures the usage and determines the distribution of lexical variants across a region of interest using common web search engines, such as Google or Bing. The method involves estimating the proportions of the variants of a lexical alternation variable over a series of cities by counting the number of webpages that contain the variants on newspaper websites originating from these cities through site-restricted web searches. The method is evaluated by mapping the 26 variants of 10 lexical variables with known distributions in American English. In almost all cases, the maps based on site-restricted web searches align closely with traditional dialect maps based on data gathered through questionnaires, demonstrating the accuracy of this method for the observation of regional linguistic variation. However, unlike collecting dialect data using traditional methods, which is a relatively slow process, the use of site-restricted web searches allows for dialect data to be collected from across a region as large as the United States in a matter of days.

The influence of surface and deep cues on primary and secondary school students’ assessment of relevance in Web menus

International audience

Using interaction data for improving the offline and online evaluation of search engines

This thesis investigates how web search evaluation can be improved using historical interaction data. Modern search engines combine offline and online evaluation approaches in a sequence of steps that a tested change needs to pass through to be accepted as an improvement and subsequently deployed. We refer to such a sequence of steps as an evaluation pipeline. In this thesis, we consider the evaluation pipeline to contain three sequential steps: an offline evaluation step, an online evaluation scheduling step, and an online evaluation step. In this thesis we show that historical user interaction data can aid in improving the accuracy or efficiency of each of the steps of the web search evaluation pipeline. As a result of these improvements, the overall efficiency of the entire evaluation pipeline is increased. Firstly, we investigate how user interaction data can be used to build accurate offline evaluation methods for query auto-completion mechanisms. We propose a family of offline evaluation metrics for query auto-completion that represents the effort the user has to spend in order to submit their query. The parameters of our proposed metrics are trained against a set of user interactions recorded in the search engine’s query logs. From our experimental study, we observe that our proposed metrics are significantly more correlated with an online user satisfaction indicator than the metrics proposed in the existing literature. Hence, fewer changes will pass the offline evaluation step to be rejected after the online evaluation step. As a result, this would allow us to achieve a higher efficiency of the entire evaluation pipeline. Secondly, we state the problem of the optimised scheduling of online experiments. We tackle this problem by considering a greedy scheduler that prioritises the evaluation queue according to the predicted likelihood of success of a particular experiment. This predictor is trained on a set of online experiments, and uses a diverse set of features to represent an online experiment. Our study demonstrates that a higher number of successful experiments per unit of time can be achieved by deploying such a scheduler on the second step of the evaluation pipeline. Consequently, we argue that the efficiency of the evaluation pipeline can be increased. Next, to improve the efficiency of the online evaluation step, we propose the Generalised Team Draft interleaving framework. Generalised Team Draft considers both the interleaving policy (how often a particular combination of results is shown) and click scoring (how important each click is) as parameters in a data-driven optimisation of the interleaving sensitivity. Further, Generalised Team Draft is applicable beyond domains with a list-based representation of results, i.e. in domains with a grid-based representation, such as image search. Our study using datasets of interleaving experiments performed both in document and image search domains demonstrates that Generalised Team Draft achieves the highest sensitivity. A higher sensitivity indicates that the interleaving experiments can be deployed for a shorter period of time or use a smaller sample of users. Importantly, Generalised Team Draft optimises the interleaving parameters w.r.t. historical interaction data recorded in the interleaving experiments. Finally, we propose to apply the sequential testing methods to reduce the mean deployment time for the interleaving experiments. We adapt two sequential tests for the interleaving experimentation. We demonstrate that one can achieve a significant decrease in experiment duration by using such sequential testing methods. The highest efficiency is achieved by the sequential tests that adjust their stopping thresholds using historical interaction data recorded in diagnostic experiments. Our further experimental study demonstrates that cumulative gains in the online experimentation efficiency can be achieved by combining the interleaving sensitivity optimisation approaches, including Generalised Team Draft, and the sequential testing approaches. Overall, the central contributions of this thesis are the proposed approaches to improve the accuracy or efficiency of the steps of the evaluation pipeline: the offline evaluation frameworks for the query auto-completion, an approach for the optimised scheduling of online experiments, a general framework for the efficient online interleaving evaluation, and a sequential testing approach for the online search evaluation. The experiments in this thesis are based on massive real-life datasets obtained from Yandex, a leading commercial search engine. These experiments demonstrate the potential of the proposed approaches to improve the efficiency of the evaluation pipeline.

Análisis del contenido, posicionamiento y calidad de páginas web en español relacionadas con la nutrición y los trastornos de la conducta alimentaria

Los trastornos del comportamiento alimentario (TCA) son las patologías psicológicas que más se han incrementado en los últimos años. Uno de los factores que determina la elevada prevalencia de TCA en nuestra sociedad es el gran desconocimiento sobre alimentación. Este desconocimiento puede deberse a la consulta de recursos online sin validez científica. El objetivo de este trabajo ha sido analizar la calidad científica y el posicionamiento de los sitios web en español con información sobre nutrición, TCA y obesidad. Material y métodos: Se realizó una búsqueda de páginas web en el navegador Google Chrome con las palabras clave: dieta, anorexia, bulimia, nutrición y obesidad, seleccionándose los 20 primeros resultados de cada búsqueda según los índices de posicionamiento ofrecidos por SEOquake (Page Rank, Alexa Rank y SEMrush Rank). Las variables de análisis fueron: información relacionada con dietas y hábitos alimentarios, información sobre alimentación saludable, información sobre TCA y sus criterios diagnósticos e información de carácter formativo acerca de temas profesionales de salud general. Sólo el 50% de las web encontradas cumplían los criterios de inclusión en el estudio. La mayoría no seguían las pautas establecidas por e-Europa sobre calidad. La mediana de Page Rank fue de 2, excepto en aquellas asociadas a instituciones sanitarias de prestigio. Dada la escasez de webs sanitarias con rigor científico, es imprescindible la revisión de las existentes y la creación de nuevos espacios on-line cuya supervisión sea realizada por profesionales especialistas en salud y nutrición.