Written News Search Engines and Retrieval Systems of the Databases of Spanish Digital Newspapers

2021 ◽  
Vol 58 (1) ◽  
pp. 795-797
Author(s):  
Francisco‐Javier Muñoz‐García ◽  
María‐Ángeles López‐Hernández ◽  
Rubén Domínguez‐Delgado
Infolib ◽  
2020 ◽  
Vol 24 (4) ◽  
pp. 16-21
Author(s):  
Irina Krasilnikova ◽  

The urgency of the problem is associated with an increase in the number of electronic resources in many information and library institutions, the need to search for information from any sources, including external ones, the provision of documents from a group of funds (corporations), the presence of electronic catalogs and search systems. Finding information from catalogs and other search engines has always preceded the execution of orders in the interlibrary service. Borrowing and using documents from different collections (provision of interlibrary services) is possible only if there is up-to-date metadata of modern information retrieval systems (ISS). The purpose of the article is to summarize the results of studying several types of search engines. At the same time, attention was drawn to new scientific publications on the topic under study. An analysis of domestic and foreign materials on the options for searching for information is presented, which is very necessary for users, including those who are remote in the provision of interlibrary services.


Tripodos ◽  
2021 ◽  
pp. 41-61
Author(s):  
Carlos Lopezosa ◽  
Lluís Codina ◽  
Mario Pérez-Montoro

This paper undertakes a comparative analysis of the visibility, and of other SEO indicators, of the culture sections of Spain’s leading digital newspapers —specifically, elmundo.es, elpais. com, lavanguardia.com, abc.es, el­confidencial.com and 20minutos.es— based on data collected by the media analytics company, comScore, and the web traffic metric, Alexa Rank. The analysis employs a set of positioning in­dicators: namely, a visibility index, keywords, social signals, keyword profiles, URLs, SERP-Snippets, reference domains and best anchor texts, as made availa­ble by SISTRIX, an SEO analytics audit toolbox. Thus, we were able to deter­mine which of the digital newspapers’ culture sections has the best visibility. Likewise, we were able to identify which of these media are best positioned on Google, presumably as a result of more effective positioning strategies. We con­clude with a discussion of our results and, on the basis of these findings, re­commend ways in which the visibility of journalistic information can be optimi­sed in search engines.   SEO i cibermitjans: visibilitat de la informació cultural dels principals diaris d’Espanya Aquest article realitza una anàlisi com­parativa de visibilitat i altres indicadors SEO de la secció de cultura dels principals cibermitjans espanyols: elmundo.es, elpais.com, lavanguardia.com, abc. es, elconfidencial.com i 20minutos. es. Les anàlisis s’han dut a terme amb la utilització d’un conjunt d’indicadors de posicionament (visibilitat, paraules clau, senyals socials, paraules clau, url, snippets, dominis de referència i mi­llors textos àncora) utilitzant l’eina de auditoria i anàlisi de posicionament en cercadors, SISTRIX. Ens preguntem quin d’aquests mitjans té millor una secció de notícies culturals amb millor visibilitat. L’estudi dut a terme amb els indicadors seleccionats permet, d’aquesta manera, presentar una anàlisi comparativa del periodisme cultural i identificar quins d’aquests mitjans presenten millors posicions a Google, presumiblement, com a resultat d’estratègies de posicio­nament. Finalitzem amb una discussió dels resultats juntament amb unes re­comanacions finals per optimitzar la vi­sibilitat de la informació periodística en els cercadors.


Author(s):  
Max Chevalier ◽  
Christine Julien ◽  
Chantal Soulé-Dupuy

Searching information can be realized thanks to specific tools called Information Retrieval Systems IRS (also called “search engines”). To provide more accurate results to users, most of such systems offer personalization features. To do this, each system models a user in order to adapt search results that will be displayed. In a multi-application context (e.g., when using several search engines for a unique query), personalization techniques can be considered as limited because the user model (also called profile) is incomplete since it does not exploit actions/queries coming from other search engines. So, sharing user models between several search engines is a challenge in order to provide more efficient personalization techniques. A semantic architecture for user profile interoperability is proposed to reach this goal. This architecture is also important because it can be used in many other contexts to share various resources models, for instance a document model, between applications. It is also ensuring the possibility for every system to keep its own representation of each resource while providing a solution to easily share it.


2014 ◽  
Vol 32 (1) ◽  
pp. 98-119 ◽  
Author(s):  
Elaine Menard ◽  
Margaret Smithglass

Purpose – The purpose of this paper is to present the results of the first phase of a research project that aims to develop a bilingual interface for the retrieval of digital images. The main objective of this extensive exploration was to identify the characteristics and functionalities of existing search interfaces and similar tools available for image retrieval. Design/methodology/approach – An examination of 159 resources that offer image retrieval was carried out. First, general search functionalities offered by content-based image retrieval systems and text-based systems are described. Second, image retrieval in a multilingual context is explored. Finally, the search functionalities provided by four types of organisations (libraries, museums, image search engines and stock photography databases) are investigated. Findings – The analysis of functionalities offered by online image resources revealed a very high degree of consistency within the types of resources examined. The resources found to be the most navigable and interesting to use were those built with standardised vocabularies combined with a clear, compact and efficient user interface. The analysis also highlights that many search engines are equipped with multiple language support features. A translation device, however, is implemented in only a few search engines. Originality/value – The examination of best practices for image retrieval and the analysis of the real users' expectations, which will be obtained in the next phase of the research project, constitute the foundation upon which the search interface model that the authors propose to develop is based. It also provides valuable suggestions and guidelines for search engine researchers, designers and developers.


2020 ◽  
Vol 38 (3) ◽  
pp. 477-492
Author(s):  
Mahdi Zeynali Tazehkandi ◽  
Mohsen Nowkarizi

Purpose The purpose of this paper is to present a review on the use of the recall metric for evaluating information retrieval systems, especially search engines. Design/methodology/approach This paper investigates different researchers’ views about recall metrics. Findings Five different definitions for recall were identified. For the first group, recall refers to completeness, but it does not specify where all the relevant documents are located. For the second group, recall refers to retrieving all the relevant documents from the collection. However, it seems that the term “collection” is ambiguous. For the third group (first approach), collection means the index of search engines and, for the fourth group (second approach), collection refers to the Web. For the fifth group (third approach), ranking of the retrieved documents should also be accounted for in calculating recall. Practical implications It can be said that in the first, second and third approaches, the components of the retrieval algorithm, the retrieval algorithm and crawler, and the retrieval algorithm and crawler and ranker, respectively, are evaluated. To determine the effectiveness of search engines for the use of users, it is better to use the third approach in recall measurement. Originality/value The value of this paper is to collect, identify and analyse literature that is used in recall. In addition, different views of researchers about recall are identified.


Author(s):  
S. Naseehath

Webometric research has fallen into two main categories, namely link analysis and search engine evaluation. Search engines are also used to collect data for link analysis. A set of measurements is proposed for evaluating web search engine performance. Some measurements are adapted from the concepts of recall and precision, which are commonly used in evaluating traditional information retrieval systems. Others are newly developed to evaluate search engine stability, which is unique to web information retrieval systems. Overlapping of search results, annual growth of search results on each search engines, variation of results on search using synonyms are also used to evaluate the relative efficiency of search engines. In this study, the investigator attempts to conduct a webometric study on the topic medical tourism in Kerala using six search engines; these include three general search engines, namely Bing, Google, and Lycos, and three metasearch engines, namely Dogpile, ixquick, and WebCrawler.


Author(s):  
Sorin Adam Matei ◽  
Lance Madsen ◽  
Robert Bruno

This paper examines the potential cognitive impact of location aware information systems compared to that of search engines using a dual coding and conjoint retention theoretical framework. Supported by virtual reality or mobile devices, location aware systems deliver information that is relevant for a specific location. Research questions and hypotheses formulated under the assumption that location aware systems are better prepared to contextualize and make information memorable are explored using a planned comparison repeated measures 3 (2 treatment; 1 control) x 3 (pre-test, post-test, one week post-test) design. The results indicate that information acquisition in location-aware systems is just as powerful as that facilitated by search engines and that information recall (after 1 week) of facts is superior when using location-aware systems. The findings reinforce and extend dual coding theory suggesting that spatial and three-dimensional indexing can be one of the channels used in indexing and recalling information. The results also indicate that location-aware applications are a promising technology for distributing information in general and for learning in particular.


Author(s):  
Fabrizio Sebastiani

The categorization of documents into subject-specific categories is a useful enhancement for large document collections addressed by information retrieval systems, as a user can first browse a category tree in search of the category that best matches her interests and then issue a query for more specific documents “from within the category.” This approach combines two modalities in information seeking that are most popular in Web-based search engines, i.e., category-based site browsing (as exemplified by, e.g., Yahoo™) and keyword-based document querying (as exemplified by, e.g., AltaVista™). Appropriate query expansion tools need to be provided, though, in order to allow the user to incrementally refine her query through further retrieval passes, thus allowing the system to produce a series of subsequent document rankings that hopefully converge to the user’s expected ranking. In this work we propose that automatically generated, category-specific “associative” thesauri be used for such purpose. We discuss a method for their generation and discuss how the thesaurus specific to a given category may usefully be endowed with “gateways” to the thesauri specific to its parent and children categories.


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