Linked Opinions: Describing Sentiments on the Structured Web of Data

In the paper we report on the results of our experiments on the construction of the opinion ontology. Our aim is to show the benefits of publishing in the open, on the Web, the results of the opinion mining process in a structured form. On the road to achieving this, we attempt to answer the research question to what extent opinion information can be formalized in a unified way. Furthermore, as part of the evaluation, we experiment with the usage of Semantic Web technologies and show particular use cases that support our claims.

Análisis bibliométrico de las publicaciones científicas colombianas en la categoría Engineering, Multidisciplinary en la base de datos del Web of Science (1997-2009)

El trabajo ha caracterizado el área de Engineering, Multidisciplinary en Colombia, revisándose a nivel institucional a través de la base de datos Web of Science, los trabajos realizados por investigadores en universidades colombianas, y publicados en revistas internacionales con factor de impacto entre 1997 y 2009. En el contexto de América Latina se han publicado 2, 195 trabajos del tipo artículo o revisión en 83 revistas, y a nivel de Colombia se han encontrado 419 artículos publicados en 23 revistas. También se han analizado las Universidades mediante indicadores bibliométricos (Factor de Impacto Ponderado y Relativo y el número medio de citas por documento), encontrándose toda la producción científica localizada en 37 Universidades y destacando la Universidad Nacional de Colombia por el número de documentos, la Universidad Pontificia Bolivariana por la ratio citas frente a documentos, y la Universidad Pedagógica y Tecnológica de Colombia por el Factor de Impacto.

Análisis bibliométrico de las publicaciones científicas mexicanas en la categoría de Engineering, Chemical en la base de datos del Web of Science (1997-2008)

El proposito del trabajo ha sido caracterizar el área de Ingeniería Química en México. Para ello, se ha revisado a nivel institucional, a través de la base de datos Web of Science (WoS), los trabajos sobre Ingeniería Química realizados por investigadores en Instituciones mexicanas y publicados en revistas internacionales con factor de impacto entre 1997 y 2008. Se ha partido del contexto de América Latina, donde se han publicado 6,183 trabajos del tipo artículo o revisión en 119 revistas, y a nivel de México se han encontrado 1,302 artículos publicados en 87 revistas la mayoría en inglés (96.08%), pero también en español (3.69%) y en francés (0.23%). Por otro lado, se han analizado las Universidades y Centros de Investigación desde el punto de vista cuantitativo y cualitativo mediante diversos indicadores bibliométricos como el Factor de Impacto Ponderado, el Factor de Impacto Relativo y la relación entre el número de citas y el número de documentos, encontrándose que de entre las cinco instituciones más productivas destaca el Instituto Mexicano del Petróleo por el número de documentos y la Universidad Nacional Autónoma de México por la relación citas frente a documentos, y por el Factor de Impacto Ponderado.

Análisis bibliométrico de las publicaciones científicas españolas en la categoría Construction & Building Technology de la base de datos Web of Science (1997-2008)

En este trabajo se analizan las publicaciones procedentes de instituciones españolas recogidas en las revistas de la categoría Construction & Building Technology de la base de datos Web of Science para el periodo 1997-2008. El número de revistas incluidas es de 35 y el número de artículos publicados ha sido de 760 (Article o Review). Se ha realizado una evaluación bibliométrica con dos nuevos parámetros: Factor de Impacto Ponderado y Factor de Impacto Relativo; asimismo se incluyen el número de citas y el número de documentos a nivel institucional. Entre los centros con una mayor producción científica destaca, como era de prever, el Instituto de Ciencias de la Construcción Eduardo Torroja (CSIC), mientras que atendiendo al Factor de Impacto Ponderado ocupa el primer lugar la Universidad de Vigo. Por otro lado, sólo dos revistas Cement and Concrete Research y Materiales de Construcción aglutinan el 45.26% de toda la producción científica española, con 172 trabajos cada una de ellas. En cuanto a la colaboración internacional, destacan países como Inglaterra, México, Estados Unidos, Italia, Argentina y Francia

Análisis bibliométrico de las publicaciones científicas uruguayas en la categoría Engineering, Chemical en la base de datos Web of Science (1997-2008)

El prop´osito del trabajo ha sido caracterizar el ´area de Ingenier´ıa Qu´ımica en M´exico. Para ello, se ha revisado a nivel institucional, a trav´es de la base de datos Web of Science (WoS), los trabajos sobre Ingenier´ıa Qu´ımica realizados por investigadores en Instituciones mexicanas y publicados en revistas internacionales con factor de impacto entre 1997 y 2008. Se ha partido del contexto de Am´erica Latina, donde se han publicado 6,183 trabajos del tipo art´ıculo o revisi´on en 119 revistas, y a nivel de M´exico se han encontrado 1,302 art´ıculos publicados en 87 revistas la mayor´ıa en ingl´es (96.08%), pero tambi´en en espa˜nol (3.69%) y en franc´es (0.23%). Por otro lado, se han analizado las Universidades y Centros de Investigaci´on desde el punto de vista cuantitativo y cualitativo mediante diversos indicadores bibliom´etricos como el Factor de Impacto Ponderado, el Factor de Impacto Relativo y la relaci´on entre el n´umero de citas y el n´umero de documentos, encontr´andose que de entre las cinco instituciones m´as productivas destaca el Instituto Mexicano del Petr´oleo por el n´umero de documentos y la Universidad Nacional Aut´onoma de M´exico por la relaci´on citas frente a documentos, y por el Factor de Impacto Ponderado

Análisis bibliométrico de las publicaciones científicas argentinas en la categoría Agriculture, Multidisciplinary en la base de datos del Web of Science (1997-2009)

El propósito del trabajo ha sido caracterizar el área de Agriculture, Multidisciplinary en Argentina, revisándose a nivel institucional, a través de la base de datos Web of Science, los trabajos realizados por investigadores en Instituciones argentinas y publicados en revistas internacionales con factor de impacto entre 1997 y 2009. En el contexto deAmérica Latina, se han publicado 7795 trabajos de todos los tipos documentales y 7622 del tipo artículo o revisión en 49 revistas, y a nivel de Argentina se han encontrado 531 artículos o revisiones publicados en 31 revistas, la mayoría en inglés (80,23%), pero también en español (15,25%) y en portugués (4,33%). Por otro lado, se han analizado las Instituciones desde el punto de vista cuantitativo y cualitativo mediante diversos indicadores bibliométricos, como el Factor de Impacto Ponderado, el Factor de Impacto Relativo y la ratio número de citas frente a número de documentos, encontrándose que entre las instituciones más productivas destacan el Consejo Nacional de Investigaciones Científicas y Técnicas por el número de documentos y el Centro de Investigación y Desarrollo en Criotecnología de Alimentos por el Factor de Impacto Ponderado y por la ratio citas frente a documentos. Se observa una escasa colaboración internacional.

Cross-lingual Linking on the Multilingual Web of Data (position statement)

Recently, the Semantic Web has experienced signi�cant advancements in standards and techniques, as well as in the amount of semantic information available online. Even so, mechanisms are still needed to automatically reconcile semantic information when it is expressed in di�erent natural languages, so that access to Web information across language barriers can be improved. That requires developing techniques for discovering and representing cross-lingual links on the Web of Data. In this paper we explore the different dimensions of such a problem and reflect on possible avenues of research on that topic.

Challenges for the Multilingual Web of Data

The Web has witnessed an enormous growth in the amount of semantic information published in recent years. This growth has been stimulated to a large extent by the emergence of Linked Data. Although this brings us a big step closer to the vision of a Semantic Web, it also raises new issues such as the need for dealing with information expressed in different natural languages. Indeed, although the Web of Data can contain any kind of information in any language, it still lacks explicit mechanisms to automatically reconcile such information when it is expressed in different languages. This leads to situations in which data expressed in a certain language is not easily accessible to speakers of other languages. The Web of Data shows the potential for being extended to a truly multilingual web as vocabularies and data can be published in a language-independent fashion, while associated language-dependent (linguistic) information supporting the access across languages can be stored separately. In this sense, the multilingual Web of Data can be realized in our view as a layer of services and resources on top of the existing Linked Data infrastructure adding i) linguistic information for data and vocabularies in different languages, ii) mappings between data with labels in different languages, and iii) services to dynamically access and traverse Linked Data across different languages. In this article we present this vision of a multilingual Web of Data. We discuss challenges that need to be addressed to make this vision come true and discuss the role that techniques such as ontology localization, ontology mapping, and cross-lingual ontology-based information access and presentation will play in achieving this. Further, we propose an initial architecture and describe a roadmap that can provide a basis for the implementation of this vision.

Cross‐lingual link discovery in the Web of Data

Cross‐lingual link discovery in the Web of Data

What is the current state of the Multilingual Web of Data?

The Semantic Web is growing at a fast pace, recently boosted by the creation of the Linked Data initiative and principles. Methods, standards, techniques and the state of technology are becoming more mature and therefore are easing the task of publication and consumption of semantic information on the Web.

Model-Driven Methodology for Rapid Deployment of Smart Spaces based on Resource-Oriented Architectures

Advances in electronics nowadays facilitate the design of smart spaces based on physical mash-ups of sensor and actuator devices. At the same time, software paradigms such as Internet of Things (IoT) and Web of Things (WoT) are motivating the creation of technology to support the development and deployment of web-enabled embedded sensor and actuator devices with two major objectives: (i) to integrate sensing and actuating functionalities into everyday objects, and (ii) to easily allow a diversity of devices to plug into the Internet. Currently, developers who are applying this Internet-oriented approach need to have solid understanding about specific platforms and web technologies. In order to alleviate this development process, this research proposes a Resource-Oriented and Ontology-Driven Development (ROOD) methodology based on the Model Driven Architecture (MDA). This methodology aims at enabling the development of smart spaces through a set of modeling tools and semantic technologies that support the definition of the smart space and the automatic generation of code at hardware level. ROOD feasibility is demonstrated by building an adaptive health monitoring service for a Smart Gym.

Combining Wireless Sensor Networks and Semantic Middleware for an Internet of Things-Based Sportsman/Woman Monitoring Application.

Wireless Sensor Networks (WSNs) are spearheading the efforts taken to build and deploy systems aiming to accomplish the ultimate objectives of the Internet of Things. Due to the sensors WSNs nodes are provided with, and to their ubiquity and pervasive capabilities, these networks become extremely suitable for many applications that so-called conventional cabled or wireless networks are unable to handle. One of these still underdeveloped applications is monitoring physical parameters on a person. This is an especially interesting application regarding their age or activity, for any detected hazardous parameter can be notified not only to the monitored person as a warning, but also to any third party that may be helpful under critical circumstances, such as relatives or healthcare centers. We propose a system built to monitor a sportsman/woman during a workout session or performing a sport-related indoor activity. Sensors have been deployed by means of several nodes acting as the nodes of a WSN, along with a semantic middleware development used for hardware complexity abstraction purposes. The data extracted from the environment, combined with the information obtained from the user, will compose the basis of the services that can be obtained.

An Internet of Things approach for managing smart services provided by wearable devices.

The Internet of Things (IoT) is growing at a fast pace with new devices getting connected all the time. A new emerging group of these devices are the wearable devices, and Wireless Sensor Networks are a good way to integrate them in the IoT concept and bring new experiences to the daily life activities. In this paper we present an everyday life application involving a WSN as the base of a novel context-awareness sports scenario where physiological parameters are measured and sent to the WSN by wearable devices. Applications with several hardware components introduce the problem of heterogeneity in the network. In order to integrate different hardware platforms and to introduce a service-oriented semantic middleware solution into a single application, we propose the use of an Enterprise Service Bus (ESB) as a bridge for guaranteeing interoperability and integration of the different environments, thus introducing a semantic added value needed in the world of IoT-based systems. This approach places all the data acquired (e.g., via Internet data access) at application developers disposal, opening the system to new user applications. The user can then access the data through a wide variety of devices (smartphones, tablets, computers) and Operating Systems (Android, iOS, Windows, Linux, etc.).

Onyx: describing emotions on the web of data

There are several different standardised and widespread formats to represent emotions. However, there is no standard semantic model yet. This paper presents a new ontology, called Onyx, that aims to become such a standard while adding concepts from the latest Semantic Web models. In particular, the ontology focuses on the representation of Emotion Analysis results. But the model is abstract and inherits from previous standards and formats. It can thus be used as a reference representation of emotions in any future application or ontology. To prove this, we have translated resources from EmotionML representation to Onyx. We also present several ways in which developers could benefit from using this ontology instead of an ad-hoc presentation. Our ultimate goal is to foster the use of semantic technologies for emotion Analysis while following the Linked Data ideals.

Virtualization of event sources in wireless sensor networks for the Internet of Things

Wireless Sensor Networks (WSNs) are generally used to collect information from the environment. The gathered data are delivered mainly to sinks or gateways that become the endpoints where applications can retrieve and process such data. However, applications would also expect from a WSN an event-driven operational model, so that they can be notified whenever occur some specific environmental changes instead of continuously analyzing the data provided periodically. In either operational model, WSNs represent a collection of interconnected objects, as outlined by the Internet of Things. Additionally, in order to fulfill the Internet of Things principles, Wireless Sensor Networks must have a virtual representation that allows indirect access to their resources, a model that should also include the virtualization of event sources in a WSN. Thus, in this paper a model for a virtual representation of event sources in a WSN is proposed. They are modeled as internet resources that are accessible by any internet application, following an Internet of Things approach. The model has been tested in a real implementation where a WSN has been deployed in an open neighborhood environment. Different event sources have been identified in the proposed scenario, and they have been represented following the proposed model.