RODI: Benchmarking Relational-to-Ontology Mapping Generation Quality

Accessing and utilizing enterprise or Web data that is scattered across multiple data sources is an important task for both applications and users. Ontology-based data integration, where an ontology mediates between the raw data and its consumers, is a promising approach to facilitate such scenarios. This approach crucially relies on useful mappings to relate the ontology and the data, the latter being typically stored in relational databases. A number of systems to support the construction of such mappings have recently been developed. A generic and effective benchmark for reliable and comparable evaluation of the practical utility of such systems would make an important contribution to the development of ontology-based data integration systems and their application in practice. We have proposed such a benchmark, called RODI. In this paper, we present a new version of RODI, which significantly extends our previous benchmark, and we evaluate various systems with it. RODI includes test scenarios from the domains of scientific conferences, geographical data, and oil and gas exploration. Scenarios are constituted of databases, ontologies, and queries to test expected results. Systems that compute relational-to-ontology mappings can be evaluated using RODI by checking how well they can handle various features of relational schemas and ontologies, and how well the computed mappings work for query answering. Using RODI, we conducted a comprehensive evaluation of seven systems

SemLAV: Local-As-View Mediation for SPARQL Queries

International audienceThe Local-As-View(LAV) integration approach aims at querying heterogeneous data in dynamic environments. In LAV, data sources are described as views over a global schema which is used to pose queries. Query processing requires to generate and execute query rewritings, but for SPARQL queries, the LAV query rewritings may not be generated or executed in a reasonable time. In this paper, we present SemLAV, an alternative technique to process SPARQL queries over a LAV integration system without generating rewritings. SemLAV executes the query against a partial instance of the global schema which is built on-the-fly with data from the relevant views. The paper presents an experimental study for SemLAV, and compares its performance with traditional LAV-based query processing techniques. The results suggest that SemLAV scales up to SPARQL queries even over a large number of views, while it significantly outperforms traditional solutions

The Effect of Institutional Investors on Estimation Value of Financial Statements of Companies in Tehran Stock Exchange

The purpose of this study is to evaluate the effect of institutional investors on the financial statements of the predictive value of listed companies in Tehran Stock Exchange. According to the owners of institutional and professional investors, their presence may cause monitor management. This can lead to profitability rather than focusing on short-term goals, according to the company's long-term value maximization. The study period is from 2006 to 2010 and 85 companies were selected to test the hypothesis. The methodology based on purpose of this research, is applied and based on the correlation between variables is correlation research. Before hypothesis testing and tests to check the validity of data variance anisotropy, Chow test and Hausman test was discussed. The result of statistics with use of combination data shows that institutional investors in ownership instruction is determined as most main mechanism in improvement of financial statements.El propósito de este estudio es evaluar el efecto de los inversores institucionales de los estados financieros del valor predictivo de las sociedades cotizadas en la Bolsa de Valores de Teherán. De acuerdo con los propietarios de los inversores institucionales y profesionales, su presencia puede causar administración de monitor. Esto puede conducir a la rentabilidad en lugar de centrarse en los objetivos a corto plazo, de acuerdo con la maximización del valor a largo plazo de la compañía. El período de estudio es de 2006 a 2010 y se seleccionaron 85 empresas para probar la hipótesis. La metodología basada en la finalidad de esta investigación , se aplica y se basa en la correlación entre las variables y la investigación de correlación. Antes de la prueba de hipótesis y ensayos para comprobar la validez de anisotropía varianza de datos, se discutió el test de Chow y la prueba de Hausman. El resultado de la estadística con el uso de datos de combinación muestra que los inversores institucionales en la instrucción la propiedad se determina como la mayoría mecanismo principal en la mejora de los estados financieros

Numerical simulation of subsonic jet ejector

An ejector is a pumping device that uses a high-speed primary fluid jet to entrain a secondary stream. In this work, using CFD we simulate subsonic air – air ejector numerically. Governing equations including continuity, momentum and energy equations are solved numerically based on finite volume method. Numerical simulation is carried out in 3 dimensions and flow is assumed to be conservative, viscous and turbulent. To simulate turbulences, Reynolds averaged Navier–Stokes, K-ε Standard, K-ε RNG, K-ε Realizable, K-ω Standard and K-ω SST are applied. Ejecting coefficient for various pressure ratios was an effective parameter which was used to validate numerical results. Error was at its minimum for K-ε RNG turbulence model. Therefore, it was used to simulate turbulences. After validating results, we analyzed the effect of geometrical parameter of diffuser outlet diameter and divergence angle on performance of subsonic air – air ejector. Results demonstrate that in addition to divergence angle, diffuser outlet diameter has a significant influence on performance and efficiency of such devices

Evaluating the ethical reasoning and factors facilitating professional ethics of nursing

Nursing is one of the most crucial foundations of any country's healthcare system. Nurses spend most of their time at the bedside of their patients, exposing them to a wide range of situations and, as a result, are constantly faced with ethical dilemmas. The present study aims to investigate the ability of ethical thinking and the characteristics that help nurses maintain their professional ethics. This is cross-sectional descriptive research.in Alborz University of Medical Sciences (281) hospitals in 2018. The Chrisham ethical reasoning questionnaire and Kohlberg facilitators were used to collect data. SPSS software version 20 and descriptive and analytical tests were used to evaluate the data. The mean score for nurses' ethical reasoning was 49.17, Emphasizing the staff skills during the division of labor in the managerial dimension, positive attitude of nurses toward professional ethics standards in the individual dimension, positive attitude of nurses towards the standards of professional ethics in the individual dimension, and patients' familiarity with time and the way to provide nursing services in the patient dimension have the highest score. The findings also revealed that the two variables of moral thinking and elements promoting professional ethics in nurses had no significant association

J.L.: A Scalable Approach to Learn Semantic Models of Structured Sources

Abstract-Semantic models of data sources describe the meaning of the data in terms of the concepts and relationships defined by a domain ontology. Building such models is an important step toward integrating data from different sources, where we need to provide the user with a unified view of underlying sources. In this paper, we present a scalable approach to automatically learn semantic models of a structured data source by exploiting the knowledge of previously modeled sources. Our evaluation shows that the approach generates expressive semantic models with minimal user input, and it is scalable to large ontologies and data sources with many attributes. I. INTRODUCTION A significant amount of information available on the Web is available in sources such as relational databases, spreadsheets, XML, JSON, and Web APIs. A common approach to integrate these sources involves building a domain model and constructing source descriptions that represent the intended meaning of the data by specifying mappings between the sources and the domain model Manually constructing semantic models is a timeconsuming task that requires significant effort and expertise. Automatically generating these models involves two steps. The first step is specifying the semantic types, i.e., labeling each data field, or source attribute with a class or a data property of the domain ontology. However, simply annotating the attributes is not sufficient. A precise semantic model needs a second step that specifies the relationships between the source attributes in terms of the properties in the ontology. In Semantic Web research, there are many studies on mapping data sources to ontologies [2]- In our previous work [8], we presented a novel approach to learn semantic models of data sources from known semantic models, semantic models of sources that have already been modeled. The work is inspired by the idea that different sources in the same domain often provide similar or overlapping data and have similar semantic models. Given sample data from the new source, we use an existing machine learnin

Lupoid Cutaneous Leishmaniasis: Review

Introduction: Leishmaniasis is an infectious disease currently threatens 350 million people in 88 countries. Lupoid leishmaniasis occurs as a result of the host response, in which despite an intensified hypersensitivity the cell mediated immunity cannot sterilize lesions. A chronic granulomatous inflammation remains active for a long time. To summarize the articles published about Lupoid leishmaniasis. Materials and Methods: a systematic web base search was conducted in PubMed up to July 2015. We included articles with available abstract in English language. Manual searching was done within the reference list of articles.  Results: Two reviewers independently reviewed and assessed eligibility criteria, assessed quality, and extracted data. Conclusion: Some patients have periods of relapse and remission at the site of inoculation of parasites and others suffer from chronic injury for years. In the case of effective disease treatment several studies have been conducted, so far, no satisfactory results have been achieved

Rapidly Integrating Services into the Linked Data Cloud

Abstract. The amount of data available in the Linked Data cloud continues to grow. Yet, few services consume and produce linked data. There is recent work that allows a user to define a linked service from an online service, which includes the specifications for consuming and producing linked data, but building such models is time consuming and requires specialized knowledge of RDF and SPARQL. This paper presents a new approach that allows domain experts to rapidly create semantic models of services by demonstration in an interactive web-based interface. First, the user provides examples of the service request URLs. Then, the system automatically proposes a service model the user can refine interactively. Finally, the system saves a service specification using a new expressive vocabulary that includes lowering and lifting rules. This approach empowers end users to rapidly model existing services and immediately use them to consume and produce linked data