A literature-based approach to annotation and browsing of Web resources

The emerging Semantic Web technologies critically depend on the availability of shared knowledge representations called ontologies, which are intended to encode consensual knowledge about specific domains. Currently, the proposed processes for building and maintaining those ontologies entail the joint effort of groups of representative domain experts, which can be expensive in terms of co-ordination and in terms of time to reach consensus. In this paper, literature-based ontologies, which can be initially developed by a single expert and maintained continuously, are proposed as preliminary alternatives to group-generated domain ontologies, or as early versions of them. These ontologies encode domain knowledge in the form of terms and relations along with the (formal or informal) bibliographical resources that define or deal with them, which makes them specially useful for domains in which a common terminology or jargon is not soundly established. A general-purpose metamodelling framework for literature-based ontologies - which has been used in two concrete domains - is described, along with a proposed methodology and a specific resource annotation approach. In addition, the implementation of a RDF-based Web resource browser - that uses the ontologies to guide the user in the exploration of a corpus of digital resources- is presented as a proof of concept

ELF GeoLocator Service

Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science "Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014.This paper describes the implementation of a gazetteer service, GeoLocator, developed in the project ‘European Location Framework’ (ELF). The GeoLocator service contains data from the INSPIRE/ELF themes Geographical Names, Administrative Units and Addresses. The functionalities of the service include geocoding, administrative unit-limited geocoding, fuzzy geocoding, reverse geocoding and administrative unit-limited reverse geocoding

Estudio comparativo del escalamiento unidimensional de conductas agresivas en la conducción

En este estudio se escalaron 24 conductas agresivas que se manifiestan en situaciones de conducción en el tráfico rodado, aplicando para tal fin dos métodos de escalamiento unidimensional: el método de intervalos aparentemente iguales de Thurstone, y el método de las categorías sucesivas de Green. Se obtuvieron valoraciones de la agresividad asociada a esas 24 conductas a partir de una muestra de 1011 conductores españoles con edades comprendidas entre los 18 y 84 años. Los resultados obtenidos han permitido mostrar, por una parte, el alto ajuste lineal de los valores escalares proporcionados por ambos métodos de escalamiento y, por otra parte,las diferencias en los valores escalares obtenidos cuando se consideran segmentos diferenciados de edad, sexo,nivel educativo y años de experiencia en la conducción

smart Emergency Response System (smartERS) – the Oil Spill use case

Thanks to the huge progress within the last 50 years in Earth Observation, Geospatial science and ICT technology, mankind is facing, for the first time, the opportunity to effectively respond to natural and artificial emergencies such as: earthquake, flood, oil spill, etc. Responding to an emergency requires to find, access, exchange, and of course understand many types of geospatial information provided by several types of sensors. Majors oil spills emergencies as, the Gulf of Mexico (Macondo/Deepwater Horizon) in 2010, the sinking of the oil tanker Prestige in 2002, have offered lessons learned and identified challenges to be addressed. Interoperability provides the principles and technologies to address those challenges. Since years interoperability has been developing based on traditional Service Oriented Architecture, request/response communication style, and implemented through Spatial Data Infrastructures. The experience handling oil spill responses shows that emergency services based on SDIs have some limitations, mainly due to their real-time peculiarity. Moreover despite the effort that Private Sector and Public Administration have been putting since years, the goal to provide an exhaustive picture of the situation during an Emergency Response is still far to be reached. We argue that to achieve this goal, we have to frame the problem in a different way. Emergency Response is not just sensing; it should be smart enough to encompass intelligent actions such as, automatically and dynamically acquire context driven information. The gaol of this paper is to define what a “smart Emergency Response System” (smartERS) should be.JRC.G.3-Maritime affair

Customer Awareness and Behavior Intention Towards the Use of Halal Logo on Restaurants

The trend of eating out leads the food service industry to the needs of managing customers and making sure that all their needs and preferences can be fulfilled. The certification and recognition of establishment also becomes the in thing in hospitality industry, which includes the certification of halal, HACCP, and ISO. Establishment with certification is useful as a marketing strategy to attract more customers. This study discusses the level of customer awareness of towards the halal logo used in some restaurants which is carried out to give evidence to restaurant operators regarding the importance of attaching the genuine halal logo in their restaurant. From the findings, it is showed that customers are do aware of the use of halal logo on restaurants. It is also a factor in choosing a restaurant. It is concluded that halal logo is one of the main factors for customers in choosing restaurants which in return can be a main strategy to attract and retain more customers in the future, not only for the local customer but also to foreigners

Multi-sensory Integration for a Digital Earth Nervous System

The amount of geospatial data is increasing, but interoperability issues hinder integrated discovery, view and analysis. This paper suggests an illustrative and extensible solution to some of the underlying challenges, by extending a previously suggested Digital Earth Nervous System with multi-sensory integration capacities. In doing so, it proposes the combination of multiple ways of sensing our environment with a memory for storing relevant data sets and integration methods for extracting valuable information out of the rich inputs. Potential building blocks for the implementation of such an advanced nervous system are sketched and briefly analysed. The paper stimulates more detailed considerations by concluding with challenges for future research and requesting a multidisciplinary development approach – including computer sciences, environmental sciences, cognitive and neurosciences, as well as engineering.JRC.H.6-Digital Earth and Reference Dat

Characteristics of Citizen-contributed Geographic Information

Current Internet applications have been increasingly incorporating citizen-contributed geographic information (CCGI) with much heterogeneous characteristics. Nevertheless, despite their differences, several terms are often being used interchangeably to define CCGI types, in the existing literature. As a result, the notion of CCGI has to be carefully specified, in order to avoid vagueness, and to facilitate the choice of a suitable CCGI dataset to be used for a given application. To address the terminological ambiguity in the description of CCGI types, we propose a typology of GI and a theoretical framework for the evaluation of GI in terms of data quality, number and type of contributors and cost of data collection per observation. We distinguish between CCGI explicitly collected for scientific or socially-oriented purposes. We review 27 of the main Internet-based CCGI platforms and we analyse their characteristics in terms of purpose of the data collection, use of quality assurance and quality control (QA/QC) mechanisms, thematic category, and geographic extents of the collected data. Based on the proposed typology and the analysis of the platforms, we conclude that CCGI differs in terms of data quality, number of contributors, data collection cost and the application of QA/QC mechanisms, depending on the purpose of the data collection.JRC.H.6 - Digital Earth and Reference Dat

Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries

We describe a system called Qr-Hint that, given a (correct) target query Q* and a (wrong) working query Q, both expressed in SQL, provides actionable hints for the user to fix the working query so that it becomes semantically equivalent to the target. It is particularly useful in an educational setting, where novices can receive help from Qr-Hint without requiring extensive personal tutoring. Since there are many different ways to write a correct query, we do not want to base our hints completely on how Q* is written; instead, starting with the user's own working query, Qr-Hint purposefully guides the user through a sequence of steps that provably lead to a correct query, which will be equivalent to Q* but may still "look" quite different from it. Ideally, we would like Qr-Hint's hints to lead to the "smallest" possible corrections to Q. However, optimality is not always achievable in this case due to some foundational hurdles such as the undecidability of SQL query equivalence and the complexity of logic minimization. Nonetheless, by carefully decomposing and formulating the problems and developing principled solutions, we are able to provide provably correct and locally optimal hints through Qr-Hint. We show the effectiveness of Qr-Hint through quality and performance experiments as well as a user study in an educational setting.Comment: SIGMOD 202