22 resultados para 080704 Information Retrieval and Web Search
Resumo:
In the beginning of the 90s, ontology development was similar to an art: ontology developers did not have clear guidelines on how to build ontologies but only some design criteria to be followed. Work on principles, methods and methodologies, together with supporting technologies and languages, made ontology development become an engineering discipline, the so-called Ontology Engineering. Ontology Engineering refers to the set of activities that concern the ontology development process and the ontology life cycle, the methods and methodologies for building ontologies, and the tool suites and languages that support them. Thanks to the work done in the Ontology Engineering field, the development of ontologies within and between teams has increased and improved, as well as the possibility of reusing ontologies in other developments and in final applications. Currently, ontologies are widely used in (a) Knowledge Engineering, Artificial Intelligence and Computer Science, (b) applications related to knowledge management, natural language processing, e-commerce, intelligent information integration, information retrieval, database design and integration, bio-informatics, education, and (c) the Semantic Web, the Semantic Grid, and the Linked Data initiative. In this paper, we provide an overview of Ontology Engineering, mentioning the most outstanding and used methodologies, languages, and tools for building ontologies. In addition, we include some words on how all these elements can be used in the Linked Data initiative.
Resumo:
This PhD thesis contributes to the problem of resource and service discovery in the context of the composable web. In the current web, mashup technologies allow developers reusing services and contents to build new web applications. However, developers face a problem of information flood when searching for appropriate services or resources for their combination. To contribute to overcoming this problem, a framework is defined for the discovery of services and resources. In this framework, three levels are defined for performing discovery at content, discovery and agente levels. The content level involves the information available in web resources. The web follows the Representational Stateless Transfer (REST) architectural style, in which resources are returned as representations from servers to clients. These representations usually employ the HyperText Markup Language (HTML), which, along with Content Style Sheets (CSS), describes the markup employed to render representations in a web browser. Although the use of SemanticWeb standards such as Resource Description Framework (RDF) make this architecture suitable for automatic processes to use the information present in web resources, these standards are too often not employed, so automation must rely on processing HTML. This process, often referred as Screen Scraping in the literature, is the content discovery according to the proposed framework. At this level, discovery rules indicate how the different pieces of data in resources’ representations are mapped onto semantic entities. By processing discovery rules on web resources, semantically described contents can be obtained out of them. The service level involves the operations that can be performed on the web. The current web allows users to perform different tasks such as search, blogging, e-commerce, or social networking. To describe the possible services in RESTful architectures, a high-level feature-oriented service methodology is proposed at this level. This lightweight description framework allows defining service discovery rules to identify operations in interactions with REST resources. The discovery is thus performed by applying discovery rules to contents discovered in REST interactions, in a novel process called service probing. Also, service discovery can be performed by modelling services as contents, i.e., by retrieving Application Programming Interface (API) documentation and API listings in service registries such as ProgrammableWeb. For this, a unified model for composable components in Mashup-Driven Development (MDD) has been defined after the analysis of service repositories from the web. The agent level involves the orchestration of the discovery of services and contents. At this level, agent rules allow to specify behaviours for crawling and executing services, which results in the fulfilment of a high-level goal. Agent rules are plans that allow introspecting the discovered data and services from the web and the knowledge present in service and content discovery rules to anticipate the contents and services to be found on specific resources from the web. By the definition of plans, an agent can be configured to target specific resources. The discovery framework has been evaluated on different scenarios, each one covering different levels of the framework. Contenidos a la Carta project deals with the mashing-up of news from electronic newspapers, and the framework was used for the discovery and extraction of pieces of news from the web. Similarly, in Resulta and VulneraNET projects the discovery of ideas and security knowledge in the web is covered, respectively. The service level is covered in the OMELETTE project, where mashup components such as services and widgets are discovered from component repositories from the web. The agent level is applied to the crawling of services and news in these scenarios, highlighting how the semantic description of rules and extracted data can provide complex behaviours and orchestrations of tasks in the web. The main contributions of the thesis are the unified framework for discovery, which allows configuring agents to perform automated tasks. Also, a scraping ontology has been defined for the construction of mappings for scraping web resources. A novel first-order logic rule induction algorithm is defined for the automated construction and maintenance of these mappings out of the visual information in web resources. Additionally, a common unified model for the discovery of services is defined, which allows sharing service descriptions. Future work comprises the further extension of service probing, resource ranking, the extension of the Scraping Ontology, extensions of the agent model, and contructing a base of discovery rules. Resumen La presente tesis doctoral contribuye al problema de descubrimiento de servicios y recursos en el contexto de la web combinable. En la web actual, las tecnologías de combinación de aplicaciones permiten a los desarrolladores reutilizar servicios y contenidos para construir nuevas aplicaciones web. Pese a todo, los desarrolladores afrontan un problema de saturación de información a la hora de buscar servicios o recursos apropiados para su combinación. Para contribuir a la solución de este problema, se propone un marco de trabajo para el descubrimiento de servicios y recursos. En este marco, se definen tres capas sobre las que se realiza descubrimiento a nivel de contenido, servicio y agente. El nivel de contenido involucra a la información disponible en recursos web. La web sigue el estilo arquitectónico Representational Stateless Transfer (REST), en el que los recursos son devueltos como representaciones por parte de los servidores a los clientes. Estas representaciones normalmente emplean el lenguaje de marcado HyperText Markup Language (HTML), que, unido al estándar Content Style Sheets (CSS), describe el marcado empleado para mostrar representaciones en un navegador web. Aunque el uso de estándares de la web semántica como Resource Description Framework (RDF) hace apta esta arquitectura para su uso por procesos automatizados, estos estándares no son empleados en muchas ocasiones, por lo que cualquier automatización debe basarse en el procesado del marcado HTML. Este proceso, normalmente conocido como Screen Scraping en la literatura, es el descubrimiento de contenidos en el marco de trabajo propuesto. En este nivel, un conjunto de reglas de descubrimiento indican cómo los diferentes datos en las representaciones de recursos se corresponden con entidades semánticas. Al procesar estas reglas sobre recursos web, pueden obtenerse contenidos descritos semánticamente. El nivel de servicio involucra las operaciones que pueden ser llevadas a cabo en la web. Actualmente, los usuarios de la web pueden realizar diversas tareas como búsqueda, blogging, comercio electrónico o redes sociales. Para describir los posibles servicios en arquitecturas REST, se propone en este nivel una metodología de alto nivel para descubrimiento de servicios orientada a funcionalidades. Este marco de descubrimiento ligero permite definir reglas de descubrimiento de servicios para identificar operaciones en interacciones con recursos REST. Este descubrimiento es por tanto llevado a cabo al aplicar las reglas de descubrimiento sobre contenidos descubiertos en interacciones REST, en un nuevo procedimiento llamado sondeo de servicios. Además, el descubrimiento de servicios puede ser llevado a cabo mediante el modelado de servicios como contenidos. Es decir, mediante la recuperación de documentación de Application Programming Interfaces (APIs) y listas de APIs en registros de servicios como ProgrammableWeb. Para ello, se ha definido un modelo unificado de componentes combinables para Mashup-Driven Development (MDD) tras el análisis de repositorios de servicios de la web. El nivel de agente involucra la orquestación del descubrimiento de servicios y contenidos. En este nivel, las reglas de nivel de agente permiten especificar comportamientos para el rastreo y ejecución de servicios, lo que permite la consecución de metas de mayor nivel. Las reglas de los agentes son planes que permiten la introspección sobre los datos y servicios descubiertos, así como sobre el conocimiento presente en las reglas de descubrimiento de servicios y contenidos para anticipar contenidos y servicios por encontrar en recursos específicos de la web. Mediante la definición de planes, un agente puede ser configurado para descubrir recursos específicos. El marco de descubrimiento ha sido evaluado sobre diferentes escenarios, cada uno cubriendo distintos niveles del marco. El proyecto Contenidos a la Carta trata de la combinación de noticias de periódicos digitales, y en él el framework se ha empleado para el descubrimiento y extracción de noticias de la web. De manera análoga, en los proyectos Resulta y VulneraNET se ha llevado a cabo un descubrimiento de ideas y de conocimientos de seguridad, respectivamente. El nivel de servicio se cubre en el proyecto OMELETTE, en el que componentes combinables como servicios y widgets se descubren en repositorios de componentes de la web. El nivel de agente se aplica al rastreo de servicios y noticias en estos escenarios, mostrando cómo la descripción semántica de reglas y datos extraídos permiten proporcionar comportamientos complejos y orquestaciones de tareas en la web. Las principales contribuciones de la tesis son el marco de trabajo unificado para descubrimiento, que permite configurar agentes para realizar tareas automatizadas. Además, una ontología de extracción ha sido definida para la construcción de correspondencias y extraer información de recursos web. Asimismo, un algoritmo para la inducción de reglas de lógica de primer orden se ha definido para la construcción y el mantenimiento de estas correspondencias a partir de la información visual de recursos web. Adicionalmente, se ha definido un modelo común y unificado para el descubrimiento de servicios que permite la compartición de descripciones de servicios. Como trabajos futuros se considera la extensión del sondeo de servicios, clasificación de recursos, extensión de la ontología de extracción y la construcción de una base de reglas de descubrimiento.
Resumo:
Over the last few decades, the ever-increasing output of scientific publications has led to new challenges to keep up to date with the literature. In the biomedical area, this growth has introduced new requirements for professionals, e.g., physicians, who have to locate the exact papers that they need for their clinical and research work amongst a huge number of publications. Against this backdrop, novel information retrieval methods are even more necessary. While web search engines are widespread in many areas, facilitating access to all kinds of information, additional tools are required to automatically link information retrieved from these engines to specific biomedical applications. In the case of clinical environments, this also means considering aspects such as patient data security and confidentiality or structured contents, e.g., electronic health records (EHRs). In this scenario, we have developed a new tool to facilitate query building to retrieve scientific literature related to EHRs. Results: We have developed CDAPubMed, an open-source web browser extension to integrate EHR features in biomedical literature retrieval approaches. Clinical users can use CDAPubMed to: (i) load patient clinical documents, i.e., EHRs based on the Health Level 7-Clinical Document Architecture Standard (HL7-CDA), (ii) identify relevant terms for scientific literature search in these documents, i.e., Medical Subject Headings (MeSH), automatically driven by the CDAPubMed configuration, which advanced users can optimize to adapt to each specific situation, and (iii) generate and launch literature search queries to a major search engine, i.e., PubMed, to retrieve citations related to the EHR under examination. Conclusions: CDAPubMed is a platform-independent tool designed to facilitate literature searching using keywords contained in specific EHRs. CDAPubMed is visually integrated, as an extension of a widespread web browser, within the standard PubMed interface. It has been tested on a public dataset of HL7-CDA documents, returning significantly fewer citations since queries are focused on characteristics identified within the EHR. For instance, compared with more than 200,000 citations retrieved by breast neoplasm, fewer than ten citations were retrieved when ten patient features were added using CDAPubMed. This is an open source tool that can be freely used for non-profit purposes and integrated with other existing systems.
Resumo:
The emergence of cloud datacenters enhances the capability of online data storage. Since massive data is stored in datacenters, it is necessary to effectively locate and access interest data in such a distributed system. However, traditional search techniques only allow users to search images over exact-match keywords through a centralized index. These techniques cannot satisfy the requirements of content based image retrieval (CBIR). In this paper, we propose a scalable image retrieval framework which can efficiently support content similarity search and semantic search in the distributed environment. Its key idea is to integrate image feature vectors into distributed hash tables (DHTs) by exploiting the property of locality sensitive hashing (LSH). Thus, images with similar content are most likely gathered into the same node without the knowledge of any global information. For searching semantically close images, the relevance feedback is adopted in our system to overcome the gap between low-level features and high-level features. We show that our approach yields high recall rate with good load balance and only requires a few number of hops.
Resumo:
En la realización de este proyecto se ha tratado principalmente la temática del web scraping sobre documentos HTML en Android. Como resultado del mismo, se ha propuesto una metodología para poder realizar web scraping en aplicaciones implementadas para este sistema operativo y se desarrollará una aplicación basada en esta metodología que resulte útil a los alumnos de la escuela. Web scraping se puede definir como una técnica basada en una serie de algoritmos de búsqueda de contenido con el fin de obtener una determinada información de páginas web, descartando aquella que no sea relevante. Como parte central, se ha dedicado bastante tiempo al estudio de los navegadores y servidores Web, y del lenguaje HTML presente en casi todas las páginas web en la actualidad así como de los mecanismos utilizados para la comunicación entre cliente y servidor ya que son los pilares en los que se basa esta técnica. Se ha realizado un estudio de las técnicas y herramientas necesarias, aportándose todos los conceptos teóricos necesarios, así como la proposición de una posible metodología para su implementación. Finalmente se ha codificado la aplicación UPMdroid, desarrollada con el fin de ejemplificar la implementación de la metodología propuesta anteriormente y a la vez desarrollar una aplicación cuya finalidad es brindar al estudiante de la ETSIST un soporte móvil en Android que le facilite el acceso y la visualización de aquellos datos más importantes del curso académico como son: el horario de clases y las calificaciones de las asignaturas en las que se matricule. Esta aplicación, además de implementar la metodología propuesta, es una herramienta muy interesante para el alumno, ya que le permite utilizar de una forma sencilla e intuitiva gran número de funcionalidades de la escuela solucionando así los problemas de visualización de contenido web en los dispositivos. ABSTRACT. The main topic of this project is about the web scraping over HTML documents on Android OS. As a result thereof, it is proposed a methodology to perform web scraping in deployed applications for this operating system and based on this methodology that is useful to the ETSIST school students. Web scraping can be defined as a technique based on a number of content search algorithms in order to obtain certain information from web pages, discarding those that are not relevant. As a main part, has spent considerable time studying browsers and Web servers, and the HTML language that is present today in almost all websites as well as the mechanisms used for communication between client and server because they are the pillars which this technique is based. We performed a study of the techniques and tools needed, providing all the necessary theoretical concepts, as well as the proposal of a possible methodology for implementation. Finally it has codified UPMdroid application, developed in order to illustrate the implementation of the previously proposed methodology and also to give the student a mobile ETSIST Android support to facilitate access and display those most important data of the current academic year such as: class schedules and scores for the subjects in which you are enrolled. This application, in addition to implement the proposed methodology is also a very interesting tool for the student, as it allows a simple and intuitive way of use these school functionalities thus fixing the viewing web content on devices.
Resumo:
El autor de este proyecto es miembro reciente de la asociación SoloBoulder, dedicada a la modalidad de escalada boulder, noticias y actualidad, contenido multimedia, promoción de un equipo de escaladores y defensa de valores medioambientales en la montaña. El principal canal de distribución de contenidos es una página web existente previa a este proyecto. La asociación ha detectado una escasez y mala calidad de recursos en internet en cuanto a guías de zonas donde poder practicar el boulder. Tal circunstancia impulsa la iniciativa de este proyecto fin de carrera. El objetivo general es el desarrollo de una nueva aplicación que proporcione a los usuarios a nivel mundial una guía interactiva de boulder y otros puntos de interés, una red social que permita la creación cooperativa y orgánica de contenido, y servicios web para el consumo de la información desde otras plataformas u organizaciones. El nuevo software desarrollado es independiente de la página web de SoloBoulder previa. No obstante, ambas partes se integran bajo el mismo domino web y aspecto. La nueva aplicación ofrece a escaladores y turistas un servicio informativo e interactivo de calidad, con el que se espera aumentar el número de visitas en todo el sitio web y poder ampliar la difusión de valores medioambientales, diversificar las zonas de boulder y regular las masificadas, favorecer el deporte y brindar al escalador una oportunidad de autopromoción personal. Una gran motivación para el autor también es el proceso de investigación y formación en tecnologías, patrones arquitecturales de diseño y metodologías de trabajo adaptadas a las tendencias actuales en la ingeniería de software, con especial curiosidad hacia el mundo web. A este respecto podemos destacar: metodología de trabajo en proyectos, análisis de proyectos, arquitecturas de software, diseño de software, bases de datos, programación y buenas prácticas, seguridad, interfaz gráfica web, diseño gráfico, Web Performance Optimization, Search Engine Optimization, etc. En resumen, este proyecto constituye un aprendizaje y puesta en práctica de diversos conocimientos adquiridos durante la ejecución del mismo, así como afianzamiento de materias estudiadas en la carrera. Además, el producto desarrollado ofrece un servicio de calidad a los usuarios y favorece el deporte y la autopromoción del escalador. ABSTRACT. The author of this Project is recent member of the association SoloBoulder, dedicated to a rock climbing discipline called bouldering, news, multimedia content, promotion of a team of climbers and defense of environmental values in the mountain. The main content distribution channel is a web page existing previous to this project. The association has detected scarcity and bad quality of resources on the internet about guides of bouldering areas. This circumstance motivates the initiative of this project. The general objective is the development of a new application which provides a worldwide, interactive bouldering guide, including other points of interest, a social network which allows the cooperative and organic creation of content, and web services for consumption of information from other platforms or organizations. The new software developed is independent of the previous SoloBoulder web page. However, both parts are integrated under the same domain and appearance. The new application offers to climbers and tourists a quality informative and interactive service, with which we hope to increase the number of visits in the whole web site and be able to expand the dissemination of environmental values, diversify boulder areas and regulate the overcrowded ones, encourage sport and offer to the climber an opportunity of self-promotion. A strong motivation for the author is also the process of investigation and education in technologies, architectural design patterns and working methodologies adapted to the actual trends in software engineering, with special curiosity about the web world. In this regard we could highlight: project working methodologies, project analysis, software architectures, software design, data bases, programming and good practices, security, graphic web interface, graphic design, Web Performance Optimization, Search Engine Optimization, etc. To sum up, this project constitutes learning and practice of diverse knowledge acquired during its execution, as well as consolidation of subjects studied in the degree. In addition, the product developed offers a quality service to the users and favors the sport and the selfpromotion of the climber.
Resumo:
Background: Semantic Web technologies have been widely applied in the life sciences, for example by data providers such as OpenLifeData and through web services frameworks such as SADI. The recently reported OpenLifeData2SADI project offers access to the vast OpenLifeData data store through SADI services. Findings: This article describes how to merge data retrieved from OpenLifeData2SADI with other SADI services using the Galaxy bioinformatics analysis platform, thus making this semantic data more amenable to complex analyses. This is demonstrated using a working example, which is made distributable and reproducible through a Docker image that includes SADI tools, along with the data and workflows that constitute the demonstration. Conclusions: The combination of Galaxy and Docker offers a solution for faithfully reproducing and sharing complex data retrieval and analysis workflows based on the SADI Semantic web service design patterns.