Using Provenance for Quality Assessment and Repair in Linked Open Data

As the number of data sources publishing their data on the Web of Data is growing, we are experiencing an immense growth of the Linked Open Data cloud. The lack of control on the published sources, which could be untrustworthy or unreliable, along with their dynamic nature that often invalidates links and causes conflicts or other discrepancies, could lead to poor quality data. In order to judge data quality, a number of quality indicators have been proposed, coupled with quality metrics that quantify the “quality level” of a dataset. In addition to the above, some approaches address how to improve the quality of the datasets through a repair process that focuses on how to correct invalidities caused by constraint violations by either removing or adding triples. In this paper we argue that provenance is a critical factor that should be taken into account during repairs to ensure that the most reliable data is kept. Based on this idea, we propose quality metrics that take into account provenance and evaluate their applicability as repair guidelines in a particular data fusion setting.

Documentación en Arqueología. Aplicaciones del Núcleo Español de Metadatos

RESUMEN Las aplicaciones de los Sistemas de Información Geográfica (SIG) a la Arqueología, u otra disciplina humanística no son una novedad. La evolución de los mismos hacia sistemas distribuidos e interoperables, y estructuras donde las políticas de uso, compartido y coordinado de los datos sí lo son, estando todos estos aspectos contemplados en la Infraestructura de Datos Espaciales. INSPIRE es el máximo exponente europeo en cuestiones de iniciativa y marco legal en estos aspectos. La metodología arqueológica recopila y genera gran cantidad de datos, y entre los atributos o características intrínsecas están la posición y el tiempo, aspectos que tradicionalmente explotan los SIG. Los datos se catalogan, organizan, mantienen, comparten y publican, y los potenciales consumidores comienzan a tenerlos disponibles. Toda esta información almacenada de forma tradicional en fichas y posteriormente en bases de datos relacionadas alfanuméricas pueden ser considerados «metadatos» en muchos casos por contener información útil para más usuarios en los procesos de descubrimiento, y explotación de los datos. Además estos datos también suelen ir acompañados de información sobre ellos mismos, que describe su especificaciones, calidad, etc. Cotidianamente usamos los metadatos: ficha bibliográfica del libro o especificaciones de un ordenador. Pudiéndose definir como: «información descriptiva sobre el contexto, calidad, condición y características de un recurso, dato u objeto que tiene la finalidad de facilitar su recuperación, identificación,evaluación, preservación y/o interoperabilidad». En España existe una iniciativa para estandarizar la descripción de los metadatos de los conjuntos de datos geoespaciales: Núcleo Español de Metadatos (NEM), los mismos contienen elementos para la descripción de las particularidades de los datos geográficos, que incluye todos los registros obligatorios de la Norma ISO19115 y del estudio de metadatos Dublin Core, tradicionalmente usado en contextos de Biblioteconomía. Conscientes de la necesidad de los metadatos, para optimizar la búsqueda y recuperación de los datos, se pretende formalizar la documentación de los datos arqueológicos a partir de la utilización del NEM, consiguiendo así la interoperabilidad de la información arqueológica. SUMMARY The application of Geographical Information Systems (GIS) to Archaeology and other social sciences is not new. Their evolution towards inter-operating, distributed systems, and structures in which policies for shared and coordinated data use are, and all these aspects are included in the Spatial Data Infrastructure (SDI). INSPIRE is the main European exponent in matters related to initiative and legal frame. Archaeological methodology gathers and creates a great amount of data, and position and time, aspects traditionally exploited by GIS, are among the attributes or intrinsic characteristics. Data are catalogued, organised, maintained, shared and published, and potential consumers begin to have them at their disposal. All this information, traditionally stored as cards and later in relational alphanumeric databases may be considered «metadata» in many cases, as they contain information that is useful for more users in the processes of discovery and exploitation of data. Moreover, this data are often accompanied by information about themselves, describing its especifications, quality, etc. We use metadata very often: in a book’s bibliographical card, or in the description of the characteristics of a computer. They may be defined as «descriptive information regarding the context, quality, condition and characteristics of a resource, data or object with the purpose of facilitating is recuperation, identification, evaluation, preservation and / interoperability.» There is an initiative in Spain to standardise the description of metadata in sets of geo-spatial data: the Núcleo Español de Metadatos (Spanish Metadata Nucleus), which contains elements for the description of the particular characteristics of geographical data, includes all the obligatory registers from the ISO Norm 19115 and from the metadata study Dublin Core, traditionally used in library management. Being aware of the need of metadata, to optimise the search and retrieval of data, the objective is to formalise the documentation of archaeological data from the Núcleo Español de Metadatos (Spanish Metadata Nucleus), thus obtaining the interoperability of the archaeological information.

Automated processing of zebrafish imaging data: a survey

Due to the relative transparency of its embryos and larvae, the zebrafish is an ideal model organism for bioimaging approaches in vertebrates. Novel microscope technologies allow the imaging of developmental processes in unprecedented detail, and they enable the use of complex image-based read-outs for high-throughput/high-content screening. Such applications can easily generate Terabytes of image data, the handling and analysis of which becomes a major bottleneck in extracting the targeted information. Here, we describe the current state of the art in computational image analysis in the zebrafish system. We discuss the challenges encountered when handling high-content image data, especially with regard to data quality, annotation, and storage. We survey methods for preprocessing image data for further analysis, and describe selected examples of automated image analysis, including the tracking of cells during embryogenesis, heartbeat detection, identification of dead embryos, recognition of tissues and anatomical landmarks, and quantification of behavioral patterns of adult fish. We review recent examples for applications using such methods, such as the comprehensive analysis of cell lineages during early development, the generation of a three-dimensional brain atlas of zebrafish larvae, and high-throughput drug screens based on movement patterns. Finally, we identify future challenges for the zebrafish image analysis community, notably those concerning the compatibility of algorithms and data formats for the assembly of modular analysis pipelines.

Sea Bottom Classification by Means of Bathymetric LIDAR Data

Light Detection and Ranging (LIDAR) provides high horizontal and vertical resolution of spatial data located in point cloud images, and is increasingly being used in a number of applications and disciplines, which have concentrated on the exploit and manipulation of the data using mainly its three dimensional nature. Bathymetric LIDAR systems and data are mainly focused to map depths in shallow and clear waters with a high degree of accuracy. Additionally, the backscattering produced by the different materials distributed over the bottom surface causes that the returned intensity signal contains important information about the reflection properties of these materials. Processing conveniently these values using a Simplified Radiative Transfer Model, allows the identification of different sea bottom types. This paper presents an original method for the classification of sea bottom by means of information processing extracted from the images generated through LIDAR data. The results are validated using a vector database containing benthic information derived by marine surveys.

Una aproximación a la integración en Open Data de los recursos INSPIRE de la IDEE.

Este trabajo, «Una aproximación a Ia integración en Open Data de los recursos Inspire de Ia IDEE », tiene por objetivo el construir un puente entre las Infraestructuras de Datos Espaciales (IDE) y el mundo de los «datos abiertos » aprovechando el marco legal de la Reutilización de la Información del Sector Público (RISP). Tras analizar qué es RISP y en particular los datos abiertos, y cómo se implementa en distintas Administraciones, se estudian los requisitos técnicos y legales necesarios para construir el «traductor» que permita canalizar la información IDE en el portal central de reutilización de información español datos.gob.es, dando una mayor visibilidad a los recursos INSPIRE. El trabajo se centra específicamente en dos puntos: en primer lugar en proporcionar y documentar la solución técnica que sirva en primera instancia para que el Instituto Geográfico Nacional aporte con más eficiencia sus recursos a datos.gob.es. En segundo lugar, a estudiar la aplicabilidad de esta misma solución al ámbito de la IDE de España (IDEE), señalando problemas detectados en el análisis de su contenido y sugiriendo recomendaciones para minimizar los problemas de su potencial reutilización. ABSTRACT: This work titled «Analysis of the integration of INSPIRE resources coming from Spanish Spatial Data Infrastructure within the National Public Sector Information portal», aims to build a bridge between the Spatial Data Infrastructures (SDI ) and the world of "Open Data" taking advantage of the legal framework on the Re-use of Public Sector Information (PSI) . After analyzing what PSI reuse and Open Data is and how it is implemented by different administrations, a study to extract the technical and legal requirements is done to build the "translator" that will allow adding SDI resources within the Spanish portal for the PSI reuse data .gob.es while giving greater visibility to INSPIRE. This document specifically focuses on two aspects: first to provide and document the technical solution that serves primarily for the National Geographic Institute to supply more efficiently its resources to datos.gob.es. Secondly, to study the applicability of the proposed solution to the whole Spanish SDI (IDEE), noting identified problems and suggesting recommendations to minimize problems of its potential reuse.

A data model for Cultural Heritage within INSPIRE.

Esta monografía presenta los fundamentos, contexto y detalles técnicos de un Esquema de Aplicación para la incorporación de datos espaciales relativos al patrimonio cultural en el marco definido por la directiva europea INSPIRE sobre información geográfica. Abstract: This monograph presents the background, context and technical details of an Application Schema for the inclusion of cultural heritage spatial data into the INSPIRE framework. Nowadays, INSPIRE provides the most relevant framework for the dissemination and exchange of geographical data, covering many different thematic fields, particularly relevant for envi-ronmental datasets. Although cultural heritage elements are partially addressed within INSPIRE, there is no specific documentation on how these data should be considered, structured and published. This text aims to provide technical guidelines for decision makers, public administrations and the scientific community for the definition and implementation of harmonized datasets for cultural heritage, according to the interoperability principles of INSPIRE.