Searching for harm or harming search? A look at the European Commission’s antitrust investigation against Google. CEPS Special Report No. 118/September 2015

As the European Commission’s antitrust investigation against Google approaches its final stages, its contours and likely outcome remain obscure and blurred by a plethora of nonantitrust-related arguments. At the same time, the initial focus on search neutrality as an antitrust principle seems to have been abandoned by the European Commission, in favour of a more standard allegation of ‘exclusionary abuse’, likely to generate anticompetitive foreclosure of Google’s rivals. This paper discusses search neutrality as an antitrust principle, and then comments on the current investigation based on publicly available information. The paper provides a critical assessment of the likely tests that will be used for the definition of the relevant product market, the criteria for the finding of dominance, the anticompetitive foreclosure test and the possible remedies that the European Commission might choose. Overall, and regardless of the outcome of the Google case, the paper argues that the current treatment of exclusionary abuses in Internet markets is in urgent need of a number of important clarifications, and has been in this condition for more than a decade. The hope is that the European Commission will resist the temptation to imbue the antitrust case with an emphasis and meaning that have nothing to do with antitrust (from industrial policy motives to privacy, copyright or media law arguments) and that, on the contrary, the Commission will devote its efforts to sharpening its understanding of dynamic competition in cyberspace, and the tools that should be applied in the analysis of these peculiar, fast-changing and often elusive settings.

Google Translate e Microsoft Translator - Valutazione di due applicazioni per la traduzione automatica del parlato e analisi di una tecnologia in evoluzione.

This work focuses on Machine Translation (MT) and Speech-to-Speech Translation, two emerging technologies that allow users to automatically translate written and spoken texts. The first part of this work provides a theoretical framework for the evaluation of Google Translate and Microsoft Translator, which is at the core of this study. Chapter one focuses on Machine Translation, providing a definition of this technology and glimpses of its history. In this chapter we will also learn how MT works, who uses it, for what purpose, what its pros and cons are, and how machine translation quality can be defined and assessed. Chapter two deals with Speech-to-Speech Translation by focusing on its history, characteristics and operation, potential uses and limits deriving from the intrinsic difficulty of translating spoken language. After describing the future prospects for SST, the final part of this chapter focuses on the quality assessment of Speech-to-Speech Translation applications. The last part of this dissertation describes the evaluation test carried out on Google Translate and Microsoft Translator, two mobile translation apps also providing a Speech-to-Speech Translation service. Chapter three illustrates the objectives, the research questions, the participants, the methodology and the elaboration of the questionnaires used to collect data. The collected data and the results of the evaluation of the automatic speech recognition subsystem and the language translation subsystem are presented in chapter four and finally analysed and compared in chapter five, which provides a general description of the performance of the evaluated apps and possible explanations for each set of results. In the final part of this work suggestions are made for future research and reflections on the usability and usefulness of the evaluated translation apps are provided.

Visibilidad de las revistas latinoamericanas de Bibliotecología y Ciencia de la información a través de Google Scholar

Las revistas académico-científicas son uno de los principales canales de comunicación y difusión de los resultados de investigación. Sin embargo no todas tienen el mismo prestigio y grado de influencia en la comunidad científica. De su calidad y visibilidad dependen, en gran medida, las posibilidades de que un trabajo sea conocido, leído y citado. Esta investigación se propone determinar la visibilidad en Google Scholar de un conjunto de revistas latinoamericanas de Bibliotecología y Ciencia de la Información, y clasificarlas según su grado de visibilidad. Utilizando la aplicación Publish or Perish para recuperar las citas de las revistas se calcularon indicadores basados en la citación. Se combinaron técnicas de análisis multivariado de datos para realizar agrupamientos de revistas según su grado de visibilidad, y se elaboraron representaciones gráficas que facilitan la interpretación de los resultados y la identificación de los grupos de revistas con alta, media y baja visibilidad

Annual report of the State Inspector of Apiaries.

WI docs no.: API.1:1902 -1914

Mémoire sur l'origine et la destination des prétendus biens du clergé = Memoria sulla origine e destinazione de' così detti beni ecclesiastici /

Mode of access: Internet.

Visibilidad de las revistas latinoamericanas de Bibliotecología y Ciencia de la información a través de Google Scholar

Las revistas académico-científicas son uno de los principales canales de comunicación y difusión de los resultados de investigación. Sin embargo no todas tienen el mismo prestigio y grado de influencia en la comunidad científica. De su calidad y visibilidad dependen, en gran medida, las posibilidades de que un trabajo sea conocido, leído y citado. Esta investigación se propone determinar la visibilidad en Google Scholar de un conjunto de revistas latinoamericanas de Bibliotecología y Ciencia de la Información, y clasificarlas según su grado de visibilidad. Utilizando la aplicación Publish or Perish para recuperar las citas de las revistas se calcularon indicadores basados en la citación. Se combinaron técnicas de análisis multivariado de datos para realizar agrupamientos de revistas según su grado de visibilidad, y se elaboraron representaciones gráficas que facilitan la interpretación de los resultados y la identificación de los grupos de revistas con alta, media y baja visibilidad

Feature LDA:a supervised topic model for automatic detection of web API documentations from the web

Web APIs have gained increasing popularity in recent Web service technology development owing to its simplicity of technology stack and the proliferation of mashups. However, efficiently discovering Web APIs and the relevant documentations on the Web is still a challenging task even with the best resources available on the Web. In this paper we cast the problem of detecting the Web API documentations as a text classification problem of classifying a given Web page as Web API associated or not. We propose a supervised generative topic model called feature latent Dirichlet allocation (feaLDA) which offers a generic probabilistic framework for automatic detection of Web APIs. feaLDA not only captures the correspondence between data and the associated class labels, but also provides a mechanism for incorporating side information such as labelled features automatically learned from data that can effectively help improving classification performance. Extensive experiments on our Web APIs documentation dataset shows that the feaLDA model outperforms three strong supervised baselines including naive Bayes, support vector machines, and the maximum entropy model, by over 3% in classification accuracy. In addition, feaLDA also gives superior performance when compared against other existing supervised topic models.

Google - Security Testing Tool

Using Google as a security testing tool, basic and advanced search techniques using advanced google search operators. Examples of obtaining control over security cameras, VoIP systems, web servers and collecting valuable information as: Credit card details, cvv codes – only using Google.

Adjusting WSMO API Reference Implementation to Support More Reliable Entity Persistence

* The research has been partially supported by INFRAWEBS - IST FP62003/IST/2.3.2.3 Research Project No. 511723 and “Technologies of the Information Society for Knowledge Processing and Management” - IIT-BAS Research Project No. 010061.

Use of Google as a tool to aid diagnosis by optometry students

Background: Previous work has shown that medical problems can be diagnosed by practitioners using Google. The aim of this study was to determine whether optometry students would benefit from using Google when diagnosing eye diseases. Methods: Participants were given symptoms and signs and instructed to list three key words and use them to search Aston University e-Library and Google UK. Results: Aston University e-Library only search resulted in correct diagnosis in 16 of 60 simulated cases. Aston e-Library plus Google search resulted in correct diagnosis in 31 of 60 simulated cases. Conclusion: Google is a useful aid to help optometry students improve their success rate when diagnosing eye conditions.

Web Based Bicycle Trip Planning for Broward County, Florida

To promote the use of bicycle transportation mode in times of increasing urban traffic congestion, Broward County Metropolitan Planning Organization funded the development of a Web-based trip planner for cyclists. This presentation demonstrates the integration of the ArcGIS Server 9.3 environment with the ArcGIS JavaScript Extension for Google Maps API and the Google Local Search Control for Maps API. This allows the use of Google mashup GIS functionality, i.e., Google local search for selection of trip start, trip destination, and intermediate waypoints, and the integration of Google Maps base layers. The ArcGIS Network Analyst extension is used for the route search, where algorithms for fastest, safest, simplest, most scenic, and shortest routes are imbedded. This presentation also describes how attributes of the underlying network sources have been combined to facilitate the search for optimized routes.

Linking Old Librarianship to New: Aligning 5-Steps of The Innovator's DNA in Creating Thematic Discovery Systems for the Everglades

This poster presentation from the May 2015 Florida Library Association Conference, along with the Everglades Explorer discovery portal at http://ee.fiu.edu, demonstrates how traditional bibliographic and curatorial principles can be applied to: 1) selection, cross-walking and aggregation of metadata linking end-users to wide-spread digital resources from multiple silos; 2) harvesting of select PDFs, HTML and media for web archiving and access; 3) selection of CMS domains, sub-domains and folders for targeted searching using an API. Choosing content for this discovery portal is comparable to past scholarly practice of creating and publishing subject bibliographies, except metadata and data are housed in relational databases. This new and yet traditional capacity coincides with: Growth of bibliographic utilities (MarcEdit); Evolution of open-source discovery systems (eXtensible Catalog); Development of target-capable web crawling and archiving systems (Archive-it); and specialized search APIs (Google). At the same time, historical and technical changes – specifically the increasing fluidity and re-purposing of syndicated metadata – make this possible. It equally stems from the expansion of freely accessible digitized legacy and born-digital resources. Innovation principles helped frame the process by which the thematic Everglades discovery portal was created at Florida International University. The path -- to providing for more effective searching and co-location of digital scientific, educational and historical material related to the Everglades -- is contextualized through five concepts found within Dyer and Christensen’s “The Innovator’s DNA: Mastering the five skills of disruptive innovators (2011). The project also aligns with Ranganathan’s Laws of Library Science, especially the 4th Law -- to "save the time of the user.”

Web Based Bicycle Trip Planning for Broward County, Florida

To promote the use of bicycle transportation mode in times of increasing urban traffic congestion, Broward County Metropolitan Planning Organization funded the development of a Web-based trip planner for cyclists. This presentation demonstrates the integration of the ArcGIS Server 9.3 environment with the ArcGIS JavaScript Extension for Google Maps API and the Google Local Search Control for Maps API. This allows the use of Google mashup GIS functionality, i.e., Google local search for selection of trip start, trip destination, and intermediate waypoints, and the integration of Google Maps base layers. The ArcGIS Network Analyst extension is used for the route search, where algorithms for fastest, safest, simplest, most scenic, and shortest routes are imbedded. This presentation also describes how attributes of the underlying network sources have been combined to facilitate the search for optimized routes.