Enabling folksonomies for knowledge extraction: A semantic grounding approach

Folksonomies emerge as the result of the free tagging activity of a large number of users over a variety of resources. They can be considered as valuable sources from which it is possible to obtain emerging vocabularies that can be leveraged in knowledge extraction tasks. However, when it comes to understanding the meaning of tags in folksonomies, several problems mainly related to the appearance of synonymous and ambiguous tags arise, specifically in the context of multilinguality. The authors aim to turn folksonomies into knowledge structures where tag meanings are identified, and relations between them are asserted. For such purpose, they use DBpedia as a general knowledge base from which they leverage its multilingual capabilities.

Problem-based learning supported by semantic techniques

Problem-based learning has been applied over the last three decades to a diverse range of learning environments. In this educational approach, different problems are posed to the learners so that they can develop different solutions while learning about the problem domain. When applied to conceptual modelling, and particularly to Qualitative Reasoning, the solutions to problems are models that represent the behaviour of a dynamic system. The learner?s task then is to bridge the gap between their initial model, as their first attempt to represent the system, and the target models that provide solutions to that problem. We propose the use of semantic technologies and resources to help in bridging that gap by providing links to terminology and formal definitions, and matching techniques to allow learners to benefit from existing models.

The SSN ontology of the W3C semantic sensor network incubator group

The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations ? the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.

Data-Intensive architecture for scientific knowledge discovery

This paper presents a data-intensive architecture that demonstrates the ability to support applications from a wide range of application domains, and support the different types of users involved in defining, designing and executing data-intensive processing tasks. The prototype architecture is introduced, and the pivotal role of DISPEL as a canonical language is explained. The architecture promotes the exploration and exploitation of distributed and heterogeneous data and spans the complete knowledge discovery process, from data preparation, to analysis, to evaluation and reiteration. The architecture evaluation included large-scale applications from astronomy, cosmology, hydrology, functional genetics, imaging processing and seismology.

Transforming meteorological data into linked data

This paper describes the process followed in order to make some of the public meterological data from the Agencia Estatal de Meteorología (AEMET, Spanish Meteorological Office) available as Linked Data. The method followed has been already used to publish geographical, statistical, and leisure data. The data selected for publication are generated every ten minutes by the 250 automatic stations that belong to AEMET and that are deployed across Spain. These data are available as spreadsheets in the AEMET data catalog, and contain more than twenty types of measurements per station. Spreadsheets are retrieved from the website, processed with Python scripts, transformed to RDF according to an ontology network about meteorology that reuses the W3C SSN Ontology, published in a triple store and visualized in maps with Map4rdf.

SPARQL-DL queries for antipattern detection

Ontology antipatterns are structures that reflect ontology modelling problems, they lead to inconsistencies, bad reasoning performance or bad formalisation of domain knowledge. Antipatterns normally appear in ontologies developed by those who are not experts in ontology engineering. Based on our experience in ontology design, we have created a catalogue of such antipatterns in the past, and in this paper we describe how we can use SPARQL-DL to detect them. We conduct some experiments to detect them in a large OWL ontology corpus obtained from the Watson ontology search portal. Our results show that each antipattern needs a specialised detection method.

Short paper: From streaming data to linked data. A case study with bike sharing systems

Current methods and tools that support Linked Data publication have mainly focused so far on static data, without considering the growing amount of streaming data available on the Web. In this paper we describe a case study that involves the publication of static and streaming Linked Data for bike sharing systems and related entities. We describe some of the challenges that we have faced, the solutions that we have explored, the lessons that we have learned, and the opportunities that lie in the future for exploiting Linked Stream Data.

Deriving semantic sensor metadata from raw measurements

Sensor network deployments have become a primary source of big data about the real world that surrounds us, measuring a wide range of physical properties in real time. With such large amounts of heterogeneous data, a key challenge is to describe and annotate sensor data with high-level metadata, using and extending models, for instance with ontologies. However, to automate this task there is a need for enriching the sensor metadata using the actual observed measurements and extracting useful meta-information from them. This paper proposes a novel approach of characterization and extraction of semantic metadata through the analysis of sensor data raw observations. This approach consists in using approximations to represent the raw sensor measurements, based on distributions of the observation slopes, building a classi?cation scheme to automatically infer sensor metadata like the type of observed property, integrating the semantic analysis results with existing sensor networks metadata.

SRBench: A streaming RDF/SPARQL benchmark

We introduce SRBench, a general-purpose benchmark primarily designed for streaming RDF/SPARQL engines, completely based on real-world data sets from the Linked Open Data cloud. With the increasing problem of too much streaming data but not enough tools to gain knowledge from them, researchers have set out for solutions in which Semantic Web technologies are adapted and extended for publishing, sharing, analysing and understanding streaming data. To help researchers and users comparing streaming RDF/SPARQL (strRS) engines in a standardised application scenario, we have designed SRBench, with which one can assess the abilities of a strRS engine to cope with a broad range of use cases typically encountered in real-world scenarios. The data sets used in the benchmark have been carefully chosen, such that they represent a realistic and relevant usage of streaming data. The benchmark defines a concise, yet omprehensive set of queries that cover the major aspects of strRS processing. Finally, our work is complemented with a functional evaluation on three representative strRS engines: SPARQLStream, C-SPARQL and CQELS. The presented results are meant to give a first baseline and illustrate the state-of-the-art.

Common motifs in scientific workflows: An empirical analysis

While workflow technology has gained momentum in the last decade as a means for specifying and enacting computational experiments in modern science, reusing and repurposing existing workflows to build new scientific experiments is still a daunting task. This is partly due to the difficulty that scientists experience when attempting to understand existing workflows, which contain several data preparation and adaptation steps in addition to the scientifically significant analysis steps. One way to tackle the understandability problem is through providing abstractions that give a high-level view of activities undertaken within workflows. As a first step towards abstractions, we report in this paper on the results of a manual analysis performed over a set of real-world scientific workflows from Taverna and Wings systems. Our analysis has resulted in a set of scientific workflow motifs that outline i) the kinds of data intensive activities that are observed in workflows (data oriented motifs), and ii) the different manners in which activities are implemented within workflows (workflow oriented motifs). These motifs can be useful to inform workflow designers on the good and bad practices for workflow development, to inform the design of automated tools for the generation of workflow abstractions, etc.

Workflow-centric research objects: First class citizens in scholarly discourse.

A workflow-centric research object bundles a workflow, the provenance of the results obtained by its enactment, other digital objects that are relevant for the experiment (papers, datasets, etc.), and annotations that semantically describe all these objects. In this paper, we propose a model to specify workflow-centric research objects, and show how the model can be grounded using semantic technologies and existing vocabularies, in particular the Object Reuse and Exchange (ORE) model and the Annotation Ontology (AO).We describe the life-cycle of a research object, which resembles the life-cycle of a scienti?c experiment.

Characterising emergent semantics in Twitter lists

Twitter lists organise Twitter users into multiple, often overlapping, sets. We believe that these lists capture some form of emergent semantics, which may be useful to characterise. In this paper we describe an approach for such characterisation, which consists of deriving semantic relations between lists and users by analyzing the cooccurrence of keywords in list names. We use the vector space model and Latent Dirichlet Allocation to obtain similar keywords according to co-occurrence patterns. These results are then compared to similarity measures relying on WordNet and to existing Linked Data sets. Results show that co-occurrence of keywords based on members of the lists produce more synonyms and more correlated results to that of WordNet similarity measures.

Antipattern detection in web ontologies: an experiment using SPARQL queries

Ontology antipatterns are structures that reflect ontology modelling problems because they lead to inconsistencies, bad reasoning performance or bad formalisation of domain knowledge. We propose four methods for the detection of antipatterns using SPARQL queries.We conduct some experiments to detect antipattern in a corpus of OWL ontologies.

Benchmarking federated SPARQL query engines: Are existing testbeds enough?

Testbeds proposed so far to evaluate, compare, and eventually improve SPARQL query federation systems have still some limitations. Some variables and con�gurations that may have an impact on the behavior of these systems (e.g., network latency, data partitioning and query properties) are not su�ciently de�ned; this a�ects the results and repeatability of independent evaluation studies, and hence the insights that can be obtained from them. In this paper we evaluate FedBench, the most comprehensive testbed up to now, and empirically probe the need of considering additional dimensions and variables. The evaluation has been conducted on three SPARQL query federation systems, and the analysis of these results has allowed to uncover properties of these systems that would normally be hidden with the original testbeds.

Obtención de clones de alcornoque (Quercus suber L.) mediante embriogénesis somática: aplicación de medios líquidos y biorreactores en la sincronización de los procesos de desarrollo y maduración de los embriones

El alcornoque tiene un gran valor ambiental, como integrante de los ecosistemas forestales mediterráneos, e interés comercial por el valor de la bellota (alimentación del cerdo ibérico), el carbón, la madera y sobre todo por las aplicaciones industriales del corcho. Las posibilidades de mejora genética del alcornoque, como las de otras especies forestales, están limitadas por sus largos ciclos reproductivos y porque su propagación vegetativa mediante estaquillado solo es posible en estados muy juveniles. Por ello este sistema de propagación tiene muy poca, o ninguna, utilidad práctica en la mejora genética. La embriogénesis somática es la vía más apropiada para la clonación de muchas especies forestales y ha hecho posible el desarrollo a gran escala de plantaciones multivarietales de coníferas. En alcornoque es posible la regeneración completa de árboles adultos mediante embriogénesis somática. Con los protocolos actuales (en medio semisólido), los embriones se generan formando acúmulos y en la fase de multiplicación conviven embriones en distintos estados de desarrollo. Es un sistema asincrónico, con baja eficacia para la propagación en masa, que no elimina completamente las dificultades para el desarrollo de programas de mejora genética del alcornoque. En otras especies la utilización de medios líquidos ha mejorado: la sincronización, productividad de los cultivos, el manejo y reducido los costes de producción. Por ello el desarrollo de suspensiones embriogénicas de alcornoque se plantea como una vía para aumentar la eficacia de la propagación clonal a gran escala. En la presente tesis se desarrollan cultivos embriogénicos de alcornoque en medio líquido. El capítulo 3 aborda el establecimiento y mantenimiento de suspensiones, el capítulo 4 el desarrollo de una fase de proliferación en medio líquido y el capítulo 5 la utilización de sistemas de cultivo en medio líquido, estacionarios y de inmersión temporal, como vía para favorecer la maduración de los embriones somáticos. Para iniciar los cultivos en medio líquido se emplearon agregados de embriones tomados de la fase de proliferación en medio semisólido. Cuando estos agregados se inocularon directamente en medio líquido no se logró el establecimiento de las suspensiones. El establecimiento se consiguió empleando como inóculo las células y Resumen pequeños agregados embriogénicos, de tamaño comprendido entre 41 y 800 μm, desprendidas por agitación breve de los agregados de embriones. El mantenimiento se logró inoculando en baja densidad masas embriogénicas compactas de tamaño comprendido entre 0,8 y 1,2 mm. Estas suspensiones, muy heterogéneas, mantuvieron su capacidad de proliferación y de regeneración de embriones al menos durante diez subcultivos consecutivos. El protocolo de iniciación y mantenimiento, desarrollado inicialmente con un solo genotipo, fue eficaz cuando se probó sobre otros 11 genotipos de alcornoque. En la fase de proliferación se ensayaron tres tipos de envase y tres velocidades de agitación. La combinación envase × velocidad determinó el intercambio gaseoso, la disponibilidad de oxígeno y el estrés hidrodinámico. Los agregados embriogénicos de alcornoque crecieron incluso en condiciones de hipoxia no siendo la disponibilidad de oxígeno un factor limitante del crecimiento para tasas de trasferencia de oxígeno comprendidas entre 0,11 h-1 y 1,47 h-1. Por otra parte la producción de biomasa creció con el estrés hidrodinámico para valores de índice de cizalladura inferiores a 5 x 10-3 cm min-1. La mayor producción de biomasa se obtuvo con matraces Erlenmeyer de 100 ml y alta velocidad de agitación (160 rpm) mientras que la diferenciación de embriones se vio favorecida por bajas velocidades de agitación (60 rpm) asociadas con bajas disponibilidades de oxígeno. La posibilidad de madurar embriones de alcornoque en medio líquido se estudió utilizando sistemas de inmersión permanente y sistemas de inmersión temporal. En inmersión permanente no se diferenciaron embriones cotiledonares (posiblemente por hiperhidricidad). Los sistemas de inmersión temporal permitieron obtener embriones maduros en estado cotiledonar y capaces de regenerar plantas in vitro. Concentraciones de sacarosa superiores a 60 g l-1 y frecuencias de inmersión iguales o inferiores a una diaria, tuvieron efectos negativos para el desarrollo de los embriones somáticos. En los sistemas de inmersión temporal los parámetros físico-químicos del medio de cultivo se mantuvieron estables y no se observó ninguna limitación de nutrientes. No obstante, estos sistemas se vieron afectados por la evaporación que generó el flujo de aire necesario para desplazar el líquido en cada periodo de inmersión. Abstract ABSTRACT Cork oak is one of the most important tree species of the Mediterranean ecosystem. Besides its high environmental value has a great economic interest due to the sustainable production of acorns (to feed the Iberian pig) charcoal, timber and cork, which is a renewable natural product with various technological applications. As happens with other forest species, cork oak genetic improvement programs are limited by their long life cycles and because vegetative propagation by cuttings it´s only possible in very juvenile plants. Hence this propagation system is useless or has little practical use for breeding cork oak. Plant regeneration by somatic embryogenesis is the most suitable way for cloning many forest species, and it is the enabling technology which has allowed the establishment of large-scale conifer multi-varietal plantations. Clonal plant regeneration of mature cork oak trees can be achieved through somatic embryogenesis. Somatic embryos at different stages of development and forming clusters are produced during the multiplication phase with current protocols (using semisolid medium). This is an asynchronous low-efficient process not suitable for mass propagation, and therefore it does not solve the difficulties presented by cork oak breeding programs. Culture in liquid medium has been used with other species to improve: synchronization, yield, handling, and to reduce production costs. Thus the development of cork oak embryogenic suspension cultures is envisaged as a way to increase the efficiency of large scale clonal propagation. The thesis herein develops cork oak embryogenic cultures in liquid medium. In chapter 3 establishment and maintenance of suspension cultures are developed, chapter 4 studies proliferation phase in liquid medium and chapter 5 considers the use of different systems of culture in liquid medium, both stationary and temporary immersion, as a way to promote somatic embryos maturation. Clusters of embryos taken from proliferating cultures on semisolid medium were used to initiate the cultures in liquid medium. When these clusters were inoculated directly in liquid medium establishment of suspension cultures was not executed. However using, as initial inoculum, cells and cell aggregates with a size between 41 and 800 μm detached from these clusters of embryos, subjected to a brief shaking, suspension cultures could be established. Suspension maintenance was achieved by inoculating compact embryogenic Abstract clumps with a size between 0.8 and 1.2 mm at low density. The suspension cultures, very heterogeneous, retained both their proliferation and embryo regeneration capacity for at least ten consecutive subcultures. The initiation and maintenance protocol, initially developed with a single genotype, was effective when tested on 11 additional genotypes of cork oak. In proliferation phase three types of vessels and three different levels of agitation were assayed. The combination vessel × orbiting speed determined gas exchange, oxygen availability and hydrodynamic stress. Cork oak embryogenic aggregates grew even under hypoxia conditions; oxygen availability at transfer rates between 0.11 and 1.47 h-1 was not a limiting factor for growth. Furthermore the biomass production was increased with hydrodynamic stress when shear rate values were of less than 5 x 10-3 cm min-1. The highest biomass production was obtained with 100 ml Erlenmeyer flask and high stirring speed (160 rpm) while the differentiation of embryos was favored by low agitation speeds (60 rpm) associated with low oxygen availability. The possibility to mature cork oak somatic embryos in liquid medium was studied using both permanent immersion systems and temporary immersion systems. Cotyledonary embryos did not differentiate in permanent immersion conditions (probably due to hyperhydricity). Temporary immersion systems allowed obtaining mature cotyledonary embryos, which were able to regenerate plants in vitro. Sucrose concentrations above 60 g l-1 and immersion frequencies equal to or lower than one each 24 h had negative effects on somatic embryo development. Physicochemical parameters of the culture medium in temporary immersion systems were stable and showed no limitation of nutrients. However, these systems were affected by the evaporation generated by the airflow necessary to relocate the medium at each immersion period.