The unfathomable secret remains: a reverse engineering study of SEO factors on Google's search engine

The vast majority of users don’t seek results beyond the second page offered by the search engine, so if a site fails to be among the top 20 (second page), it says that this page does not have good SEO and, therefore, is not visible to the user. The overall objective of this project is to conduct a study to discover the factors that determine (or not) the positioning of websites in a search engine.

Elasticsearch as a new search engine for Invenio and more

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Tag Cloud of Search Queries for Repository System

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

The Legal Implications of Internet Marketing : Exploiting the Digital Marketplace Within the Boundaries of the Law

Au cours des dernières années, le domaine de la consommation a grandement évolué. Les agents de marketing ont commencé à utiliser l’Internet pour influencer les consommateurs en employant des tactiques originales et imaginatives qui ont rendus possible l’atteinte d'un niveau de communication interpersonnelle qui avait précédemment été insondable. Leurs interactions avec les consommateurs, en utilisant la technologie moderne, se manifeste sous plusieurs formes différentes qui sont toutes accompagnés de leur propre assortiment de problèmes juridiques. D’abord, il n'est pas rare pour les agents de marketing d’utiliser des outils qui leur permettent de suivre les actions des consommateurs dans le monde virtuel ainsi que dans le monde physique. Les renseignements personnels recueillis d'une telle manière sont souvent utilisés à des fins de publicité comportementale en ligne – une utilisation qui ne respecte pas toujours les limites du droit à la vie privée. Il est également devenu assez commun pour les agents de marketing d’utiliser les médias sociaux afin de converser avec les consommateurs. Ces forums ont aussi servi à la commission d’actes anticoncurrentiels, ainsi qu’à la diffusion de publicités fausses et trompeuses – deux pratiques qui sont interdites tant par la loi sur la concurrence que la loi sur la protection des consommateurs. Enfin, les agents de marketing utilisent diverses tactiques afin de joindre les consommateurs plus efficacement en utilisant diverses tactiques qui les rendent plus visible dans les moteurs de recherche sur Internet, dont certaines sont considérés comme malhonnêtes et pourraient présenter des problèmes dans les domaines du droit de la concurrence et du droit des marques de commerce. Ce mémoire offre une description détaillée des outils utilisés à des fins de marketing sur Internet, ainsi que de la manière dont ils sont utilisés. Il illustre par ailleurs les problèmes juridiques qui peuvent survenir à la suite de leur utilisation et définit le cadre législatif régissant l’utilisation de ces outils par les agents de marketing, pour enfin démontrer que les lois qui entrent en jeu dans de telles circonstances peuvent, en effet, se révéler bénéfiques pour ces derniers d'un point de vue économique.

Capturing Emergent Semantics from Social Annotation Systems

The ongoing growth of the World Wide Web, catalyzed by the increasing possibility of ubiquitous access via a variety of devices, continues to strengthen its role as our prevalent information and commmunication medium. However, although tools like search engines facilitate retrieval, the task of finally making sense of Web content is still often left to human interpretation. The vision of supporting both humans and machines in such knowledge-based activities led to the development of different systems which allow to structure Web resources by metadata annotations. Interestingly, two major approaches which gained a considerable amount of attention are addressing the problem from nearly opposite directions: On the one hand, the idea of the Semantic Web suggests to formalize the knowledge within a particular domain by means of the "top-down" approach of defining ontologies. On the other hand, Social Annotation Systems as part of the so-called Web 2.0 movement implement a "bottom-up" style of categorization using arbitrary keywords. Experience as well as research in the characteristics of both systems has shown that their strengths and weaknesses seem to be inverse: While Social Annotation suffers from problems like, e. g., ambiguity or lack or precision, ontologies were especially designed to eliminate those. On the contrary, the latter suffer from a knowledge acquisition bottleneck, which is successfully overcome by the large user populations of Social Annotation Systems. Instead of being regarded as competing paradigms, the obvious potential synergies from a combination of both motivated approaches to "bridge the gap" between them. These were fostered by the evidence of emergent semantics, i. e., the self-organized evolution of implicit conceptual structures, within Social Annotation data. While several techniques to exploit the emergent patterns were proposed, a systematic analysis - especially regarding paradigms from the field of ontology learning - is still largely missing. This also includes a deeper understanding of the circumstances which affect the evolution processes. This work aims to address this gap by providing an in-depth study of methods and influencing factors to capture emergent semantics from Social Annotation Systems. We focus hereby on the acquisition of lexical semantics from the underlying networks of keywords, users and resources. Structured along different ontology learning tasks, we use a methodology of semantic grounding to characterize and evaluate the semantic relations captured by different methods. In all cases, our studies are based on datasets from several Social Annotation Systems. Specifically, we first analyze semantic relatedness among keywords, and identify measures which detect different notions of relatedness. These constitute the input of concept learning algorithms, which focus then on the discovery of synonymous and ambiguous keywords. Hereby, we assess the usefulness of various clustering techniques. As a prerequisite to induce hierarchical relationships, our next step is to study measures which quantify the level of generality of a particular keyword. We find that comparatively simple measures can approximate the generality information encoded in reference taxonomies. These insights are used to inform the final task, namely the creation of concept hierarchies. For this purpose, generality-based algorithms exhibit advantages compared to clustering approaches. In order to complement the identification of suitable methods to capture semantic structures, we analyze as a next step several factors which influence their emergence. Empirical evidence is provided that the amount of available data plays a crucial role for determining keyword meanings. From a different perspective, we examine pragmatic aspects by considering different annotation patterns among users. Based on a broad distinction between "categorizers" and "describers", we find that the latter produce more accurate results. This suggests a causal link between pragmatic and semantic aspects of keyword annotation. As a special kind of usage pattern, we then have a look at system abuse and spam. While observing a mixed picture, we suggest that an individual decision should be taken instead of disregarding spammers as a matter of principle. Finally, we discuss a set of applications which operationalize the results of our studies for enhancing both Social Annotation and semantic systems. These comprise on the one hand tools which foster the emergence of semantics, and on the one hand applications which exploit the socially induced relations to improve, e. g., searching, browsing, or user profiling facilities. In summary, the contributions of this work highlight viable methods and crucial aspects for designing enhanced knowledge-based services of a Social Semantic Web.

Common Craft

Common craft make short videos which explain in simple terms some common concepts and technologies used in learning and teaching. These are available through The Common Craft Store, which offers versions of videos that are: Downloadable files Presentation-quality Licensed for workplace use You can find the free, online versions of the videos on The Common Craft Show. Topics include phishing, RSS, wikis, Twitter, social networking, social bookmarking, web search strategies, social media, podcasting, sharing photos online and many more.

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.

On the evolution of monopoly pricing in Internet-assisted search markets

This study examines the evolution of prices in markets with Internet price-comparison search engines. The empirical study analyzes laboratory data of prices available to informed consumers, for two industry sizes and two conditions on the sample (complete and incomplete). Distributions are typically bimodal. One of the two modes of distribution, corresponding to monopoly pricing, tends to attract such pricing strategies increasingly over time. The second one, corresponding to interior pricing, follows a decreasing trend. Monopoly pricing can serve as a means of insurance against more competitive (but riskier) behavior. In fact, experimental subjects who initially earn low profits due to interior pricing are more likely to switch to monopoly pricing than subjects who experience good returns from the start.

Search engine liability for autocomplete suggestions: personality, privacy and the power of the algorithm

This article is concerned with the liability of search engines for algorithmically produced search suggestions, such as through Google’s ‘autocomplete’ function. Liability in this context may arise when automatically generated associations have an offensive or defamatory meaning, or may even induce infringement of intellectual property rights. The increasing number of cases that have been brought before courts all over the world puts forward questions on the conflict of fundamental freedoms of speech and access to information on the one hand, and personality rights of individuals— under a broader right of informational self-determination—on the other. In the light of the recent judgment of the Court of Justice of the European Union (EU) in Google Spain v AEPD, this article concludes that many requests for removal of suggestions including private individuals’ information will be successful on the basis of EU data protection law, even absent prejudice to the person concerned.

O direito ao esquecimento na era digital: desafios da regulação da desvinculação de urls prejudiciais a pessoas naturais nos índices de pesquisa dos buscadores horizontais

No julgamento do recurso especial referente à ação ajuizada pela apresentadora Xuxa Meneghel para compelir o Google Search a desvincular dos seus índices de busca os resultados relativos à pesquisa sobre a expressão “Xuxa pedófila” ou qualquer outra que associasse o nome da autora a esta prática criminosa, a relatora da decisão, a Ministra Nancy Andrighi, definiu de maneira clara a controvérsia de que cuida este trabalho: o cotidiano de milhares de pessoas depende atualmente de informações que estão na web, e que dificilmente seriam encontradas sem a utilização das ferramentas de pesquisas oferecidas pelos sites de busca. Por outro lado, esses mesmos buscadores horizontais podem ser usados para a localização de páginas com informações, URLs prejudiciais resultantes da busca com o nome das pessoas. Diante disso, o que fazer? Existiria realmente um direito de ser esquecido, isto é, de ter uma URL resultante de uma pesquisa sobre o nome de uma pessoa desvinculado do índice de pesquisa do buscador horizontal? Há quem afirme que a medida mais apropriada para lidar com esse problema seria ir atrás do terceiro que publicou essa informação originariamente na web. Há também quem defenda que a proteção de um direito de ser esquecido representaria uma ameaça grande demais para a liberdade de expressão e de informação. Diante deste quadro, esta dissertação visa a estabelecer quais podem ser as características e os limites do direito ao esquecimento na era digital, de acordo com o estado atual da legislação brasileira a respeito, confrontando-se tal direito com outros direitos e interesses públicos e privados (especialmente o direito à liberdade de expressão e à informação) e levando em conta as características de funcionamento da própria rede mundial de computadores, em especial das ferramentas de buscas. Tendo em vista a importância dos buscadores horizontais no exercício do acesso à informação e, além disso, as dificuldades relacionadas à retirada de URLs de todos os sítios em que tenham sido publicadas, nossa pesquisa focará no potencial – e nas dificuldades – de se empregar a regulação de tais ferramentas de busca para a proteção eficaz do direito ao esquecimento na era digital.

Links hipertextuais na comunicação científica: análise webométrica dos sítios acadêmicos latino-americanos em ciências sociais

VANTI, Nadia. Links hipertextuais na comunicação científica: análise webométrica dos sítios acadêmicos latino-americanos em Ciências Sociais. Porto Alegre, 2007. 292 f. Tese (Doutorado em Comunicação e Informação) – Universidade Federal do Rio Grande do Sul. Porto Alegre, 2007.

Aplicação de indicadores webométricos nos programas de Pós-Graduação das engenharias recomendados pela CAPES

This study aims to identify, through the application of webometric indicators, which Post-Graduate Courses in Engineering recommended by the Coordination of Improvement of Higher Personnel Education (CAPES) in Brazil stand out in the web space, in relation to the communication process and dissemination of scientific information in the academic environment. For this, we analyzed the structures content of the sites, the use, through the conduct of investigations and searches, the quality of information available, as well as the structure of existent hypertexts in the sites of this universe of search. The tools and methodologies adopted for this study are: search engines (Google, Yahoo), Mapper software (Xenu Link Sleuth) and analysis software and visualization of networks (and Ucinet6 NetDraw). Webometric indicators are also used, such as size of the web sites, visibility, web impact factor, brightness and density of the network. These instruments provide a brief analysis and evaluation for this webometric study. Therefore, from the incursion of the literature used, it appears that there are many advantages of using this type of metric study in the so called Information Society. The obtained results could identify which postgraduate courses in engineering has a better availability of their information on the Web, as well to define which of these courses stands out in relation to the use of their information, which has been outstanding in respect to its impact factor and which offers a greater number of links that serve as a source of information for its users, contributing, in its turn, with the navigability of the same network. In summary, it is asserted that the webometric study presents promising results, which are able to achieve the proposed objectives, as well as identify the factors that contribute significantly to the good visualization of these sites in the network, thus helping the spread of information and scientific communication through the use of the Web.

O modelo de dados Resource Description Framework (RDF) e o seu papel na descrição de recursos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Investigação e implementação de ferramentas computacionais para otimização de websites com ênfase na descrição de conteúdo

Pós-graduação em Ciência da Computação - IBILCE

Structure-semantics interplay in complex networks and its effects on the predictability of similarity in texts

The classification of texts has become a major endeavor with so much electronic material available, for it is an essential task in several applications, including search engines and information retrieval. There are different ways to define similarity for grouping similar texts into clusters, as the concept of similarity may depend on the purpose of the task. For instance, in topic extraction similar texts mean those within the same semantic field, whereas in author recognition stylistic features should be considered. In this study, we introduce ways to classify texts employing concepts of complex networks, which may be able to capture syntactic, semantic and even pragmatic features. The interplay between various metrics of the complex networks is analyzed with three applications, namely identification of machine translation (MT) systems, evaluation of quality of machine translated texts and authorship recognition. We shall show that topological features of the networks representing texts can enhance the ability to identify MT systems in particular cases. For evaluating the quality of MT texts, on the other hand, high correlation was obtained with methods capable of capturing the semantics. This was expected because the golden standards used are themselves based on word co-occurrence. Notwithstanding, the Katz similarity, which involves semantic and structure in the comparison of texts, achieved the highest correlation with the NIST measurement, indicating that in some cases the combination of both approaches can improve the ability to quantify quality in MT. In authorship recognition, again the topological features were relevant in some contexts, though for the books and authors analyzed good results were obtained with semantic features as well. Because hybrid approaches encompassing semantic and topological features have not been extensively used, we believe that the methodology proposed here may be useful to enhance text classification considerably, as it combines well-established strategies. (c) 2012 Elsevier B.V. All rights reserved.