Influence of the Fiber Alignment in the Ballistic Performance of Dyneema Non-Woven Fabrics

The aim of this study was the determination of the deforming micromechanisms of needlepunched felts subjected to impact loads. A large experimental campaign has been carried out to analyze the influence of the fiber alignment in the ballistic performance. Ballistic limit curves of predeformed samples were compared. The fiber realignment was experimentally measure by means of 2D X-Ray diffraction. Higher specific absorption was observed for samples with a more isotropic mechanical response. A constitutive physicallybased model was developed within the context of the finite element method, which provided the constitutive response for a mesodomain including micromechanical aspects as fiber alignment, fiber sliding and pull-out. The macroscopic response has been validated with the experimental results, showing a very good agreement. The absorbed energy by the material during the impact was predicted and the fiber realignment evolution was also obtained.

Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources

We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the context of these entities. We explain the steps of the methodology and we give a working example of our initial results. The resulting lexicons are modelled as Linked Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in the Linguistic Linked Open Data cloud.

Ellipsometric study of nematic alignment on silicon oxides for display

Vertical Alignment Nematics (VANs) displays are a form of LCDs in which the liquid crystals naturally align vertically to the glass substrates. In spite of their name, the liquid crystal (LC) director is never exactly vertical, rather it always show a small angle with the normal to the sample plane called tilt that may vary throughout the cell bulk. Its values are ultimately determined by the pretilt, defined as the tilt angle on the surfaces in the absence of voltage.

SMART Protocols: seMAntic represenTation for experimental protocols

Two important characteristics of science are the ?reproducibility? and ?clarity?. By rigorous practices, scientists explore aspects of the world that they can reproduce under carefully controlled experimental conditions. The clarity, complementing reproducibility, provides unambiguous descriptions of results in a mechanical or mathematical form. Both pillars depend on well-structured and accurate descriptions of scientific practices, which are normally recorded in experimental protocols, scientific workflows, etc. Here we present SMART Protocols (SP), our ontology-based approach for representing experimental protocols and our contribution to clarity and reproducibility. SP delivers an unambiguous description of processes by means of which data is produced; by doing so, we argue, it facilitates reproducibility. Moreover, SP is thought to be part of e-science infrastructures. SP results from the analysis of 175 protocols; from this dataset, we extracted common elements. From our analysis, we identified document, workflow and domain-specific aspects in the representation of experimental protocols. The ontology is available at http://purl.org/net/SMARTprotocol

A semantic-based approach to attain reproducibility of computational environments in scientific workflows: a case study

Reproducible research in scientific workflows is often addressed by tracking the provenance of the produced results. While this approach allows inspecting intermediate and final results, improves understanding, and permits replaying a workflow execution, it does not ensure that the computational environment is available for subsequent executions to reproduce the experiment. In this work, we propose describing the resources involved in the execution of an experiment using a set of semantic vocabularies, so as to conserve the computational environment. We define a process for documenting the workflow application, management system, and their dependencies based on 4 domain ontologies. We then conduct an experimental evaluation using a real workflow application on an academic and a public Cloud platform. Results show that our approach can reproduce an equivalent execution environment of a predefined virtual machine image on both computing platforms.

A Focused Crawler in order to Get Semantic Web Resources (CSR)

This paper presents a Focused Crawler in order to Get Semantic Web Resources (CSR). Structured data web are available in formats such as Extensible Markup Language (XML), Resource Description Framework (RDF) and Ontology Web Language (OWL) that can be used for processing. One of the main challenges for performing a manual search and download semantic web resources is that this task consumes a lot of time. Our research work propose a focused crawler which allow to download these resources automatically and store them on disk in order to have a collection that will be used for data processing. CRS consists of three layers: (a) The User Interface Layer, (b) The Focus Crawler Layer and (c) The Base Crawler Layer. CSR uses as a selection policie the Shark-Search method. CSR was conducted with two experiments. The first one starts on December 15 2012 at 7:11 am and ends on December 16 2012 at 4:01 were obtained 448,123,537 bytes of data. The CSR ends by itself after to analyze 80,4375 seeds with an unlimited depth. CSR got 16,576 semantic resources files where the 89 % was RDF, the 10 % was XML and the 1% was OWL. The second one was based on the Web Data Commons work of the Research Group Data and Web Science at the University of Mannheim and the Institute AIFB at the Karlsruhe Institute of Technology. This began at 4:46 am of June 2 2013 and 1:37 am June 9 2013. After 162.51 hours of execution the result was 285,279 semantic resources where predominated the XML resources with 99 % and OWL and RDF with 1 % each one.

Analysis of the suitability of existing medical ontologies for building a scalable semantic interoperability solution supporting multi-site collaboration in oncology

Semantic interoperability is essential to facilitate efficient collaboration in heterogeneous multi-site healthcare environments. The deployment of a semantic interoperability solution has the potential to enable a wide range of informatics supported applications in clinical care and research both within as ingle healthcare organization and in a network of organizations. At the same time, building and deploying a semantic interoperability solution may require significant effort to carryout data transformation and to harmonize the semantics of the information in the different systems. Our approach to semantic interoperability leverages existing healthcare standards and ontologies, focusing first on specific clinical domains and key applications, and gradually expanding the solution when needed. An important objective of this work is to create a semantic link between clinical research and care environments to enable applications such as streamlining the execution of multi-centric clinical trials, including the identification of eligible patients for the trials. This paper presents an analysis of the suitability of several widely-used medical ontologies in the clinical domain: SNOMED-CT, LOINC, MedDRA, to capture the semantics of the clinical trial eligibility criteria, of the clinical trial data (e.g., Clinical Report Forms), and of the corresponding patient record data that would enable the automatic identification of eligible patients. Next to the coverage provided by the ontologies we evaluate and compare the sizes of the sets of relevant concepts and their relative frequency to estimate the cost of data transformation, of building the necessary semantic mappings, and of extending the solution to new domains. This analysis shows that our approach is both feasible and scalable.

Silicon oxides as alignment surfaces for vertically-aligned nematics in photonic devices

A comparative study on alignment performance and microstructure of inorganic layers used for liquid crystal cell conditioning has been carried out. The study has focused on two specific materials, SiOx and SiO2, deposited under different conditions. The purpose was to establish a relationship between layer microstructure and liquid crystal alignment. The surface morphology has been studied by FESEM and AFM. An analysis on liquid crystal alignment, pretilt angle, response time, contrast ratio and the conditions to develop backflow effect (significant rise time increase due to pure homeotropic alignment) on vertically-aligned nematic cells has been carried out. A technique to overcome the presence of backflow has been identified. The full comparative study of SiOx and SiO2 layer properties and their influence over liquid crystal alignment and electrooptic response is presented.

SemQuaRE - An extension of the SQuaRE quality model for the evaluation of semantic technologies

To correctly evaluate semantic technologies and to obtain results that can be easily integrated, we need to put evaluations under the scope of a unique software quality model. This paper presents SemQuaRE, a quality model for semantic technologies. SemQuaRE is based on the SQuaRE standard and describes a set of quality characteristics specific to semantic technologies and the quality measures that can be used for their measurement. It also provides detailed formulas for the calculation of such measures. The paper shows that SemQuaRE is complete with respect to current evaluation trends and that it has been successfully applied in practice.

NEMAWASHI: Attaining Value Stream alignment within Complex Organizational Networks

In the process of value creation, organizations perform an intense intra-organizational dialog through which internal VS alignment is achieved towards certain strategic objectives. Within the context of complex organizational networks, were goal conflicts are preprogrammed through incentive structures, VS alignment as legitimation of action towards strategic goals has special interest. On the one hand it facilitates the access to necessary resources for goal achievement and on the other it increases the sustainability and supports commonly agreed upon decisions leading to success. This paper provides a winnerless process (WLP) differential equations model for quantifying intra-organizational value stream (VS) alignment dynamics that can help design sustainable lean management solutions. This paper presents ongoing research results that show how the model was implemented in one industrial facility.

Desarrollo de ontología de títulos de grado

Dada la amplia información que rodea el dominio de programas de estudios superiores, específicamente los estudios de grado, este trabajo fin de grado propone la construcción de un modelo para representar dicha información mediante la construcción de una red de ontologías, proporcionando una definición común de conceptos importantes, y que posteriormente puede ser reutilizada para la construcción de aplicaciones que ayuden a las partes interesadas, como, estudiantes, personal académico y administrativo, a la búsqueda y acceso de información oportuna. Para la construcción de esta red de ontologías, se siguen las recomendaciones y pautas propuestas por la metodología NeOn [1a] [1b], que sigue un paradigma basado en la reutilización de recursos de conocimiento. Por otra parte, se realiza una populación de dicha red de ontologías mediante datos específicos del grado en Ingeniería Informática de la Universidad Politécnica de Madrid. La construcción de una red de ontologías siguiendo las directrices de la metodología NeOn requiere la realización de distintas actividades y tareas, como el estudio del dominio, estudio de la viabilidad, especificación de requisitos, conceptualización, formalización, implementación y mantenimiento. Se realizan también muchas otras actividades y tareas dependiendo del contexto en el que se construye la ontología. En este proyecto se hace un especial énfasis en las actividades de especificación de requisitos, conceptualización e implementación, además de la actividad de búsqueda de recursos ontológicos para su posterior reutilización. Se ha construido una red de ontologías llamada: European Bachelor Degree Ontology (EBDO) que incluye términos y conceptos importantes que se han detectado en la etapa de especificación de requisitos y que las ontologías a reutilizar no contemplan. Las decisiones de diseño para la construcción de esta nueva red de ontologías y su alineamiento con las ontologías a reutilizar se han basado en la especificación de requisitos ontológicos. Una vez definidos los conceptos relevantes de la red de ontologías, se ha implementado la red de ontologías en un lenguaje computable. Una vez que la red de ontologías se ha implementado se han realizado tareas de evaluación para corregir posible errores. Finalmente, cuando se ha obtenido una versión estable de la ontología, se ha realizado la instanciación de individuos del plan de estudios del grado en Ingeniería Informática de la Universidad Politécnica de Madrid.---ABSTRACT---Given the extensive information surrounding the domain of higher education programs, specifically bachelor degree studies, this bachelor degree project proposes the construction of a model to represent this information by building an ontology network, providing a common definition of important concepts. This network can be reused to build semantic applications that help stakeholders, such as, students, academic and organisational staff, to search and access to timely information. For the construction of this network of ontologies, guidelines and recommendations proposed by the NeOn Methodology [1a] [1b] have been followed. This methodology follows a paradigm based on the reuse of knowledge resources. Moreover, a population of this ontology network is performed with specific data of the Computer Science Degree from Universidad Politécnica de Madrid Building a network of ontologies following the guidelines of the NeOn Methodology requires the completion of various activities and tasks such as, the study of the domain, study of the feasibility, requirements specification, conceptualization, formalization, implementation and maintenance. Many other activities and tasks are also performed depending on the context in which the ontology is built. In this project a special emphasis is made on the activities of requirements specification, conceptualization and search of ontological resources for reuse and implementation. A new network of ontologies, named European Bachelor Degree Ontology (EBDO), has been built. This network includes terms and concepts that have been detected at the stage of requirements specification and that the reused ontologies have not contemplated. Design principles for the construction of this new network of ontologies and for the reused ontologies alignment have been based on the ontological specification requirements. Once the relevant concepts of the ontology network are defined, the network has been implemented in a computable ontology language. Once the network ontology is implemented, the evaluation activity has been conducted to correct the errors that the network presented. Finally, when a stable version of the ontology has been obtained, the instantiation of individuals of the study program of the Bachelor Degree in Computer Science from Universidad Politécnica de Madrid has been performed.

Using WYSIWYM to Create an Open-ended Interface for the Semantic Grid

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A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

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Semantic Support for Computational Land-Use Modelling

Postprint

Cultural universals: Measuring the semantic structure of emotion terms in English and Japanese

Research is presented on the semantic structure of 15 emotion terms as measured by judged-similarity tasks for monolingual English-speaking and monolingual and bilingual Japanese subjects. A major question is the relative explanatory power of a single shared model for English and Japanese versus culture-specific models for each language. The data support a shared model for the semantic structure of emotion terms even though some robust and significant differences are found between English and Japanese structures. The Japanese bilingual subjects use a model more like English when performing tasks in English than when performing the same task in Japanese.