1,720,960 research outputs found
Standardization of scientific experimental data representation through ontology-based metadata schema
Full text linkHalal is a wide area that involved multidisciplinary domains such as biotechnology
and medical science in which data and information come from various sources such
as laboratory instruments and machines. Halal is defined as the status of certain
products that do not contain unpermitted ingredients. The halal determination for
various samples and ingredients were done using various laboratory instrument, at
which each instrument has a different structure and format of data. These make it
difficult for managing and integrating the data for analysis. Research areas involved
with data management and integration need to explore data standardization as it helps
in bringing data into a common format. Hence, it would help in collaborative research
as well as sharing of data and information. The problem addressed in this study is,
researchers in the determination of Halal components of products require data
standardization as it is hard in managing and analyzing scientific experimental data
from multiple laboratory instruments that have different structures and formats of data.
The objective of this research was to standardize scientific experimental data from
Halal Institute laboratory instruments. To accomplish such goals, an ontology schema
model was proposed to standardize and gives a controlled vocabulary of the scientific
experimental data from Halal Institute laboratory instruments. A metadata
representation structure, based on the proposed ontology schema, was also developed
to give a standard structure to the scientific experimental data representation as well
as simplified data that enables data retrieval and display.
Two types of evaluation were conducted in this study which was; ontology schema
evaluation and metadata representation structure evaluation. Both evaluations were
done using the data files from instruments in the laboratory for raw and processed
materials and liquid analysis, namely Gas Chromatography-Mass Spectrometry (GCMS) and High Performance Liquid Chromatography (HPLC) instruments. The
proposed ontology schema model was evaluated and validated based on completeness
and correctness analysis measures. It was to ensure that the proposed ontology schema
model was designed completely and correctly based on the grouped data and
information from the laboratory instruments.
Based on the ontology schema model evaluation, the completeness percentage of the
ontology schema model was 100%, conform to all of the grouped data Sample Info,
Result Info, Experimental Setup Info, and Graph Info from the laboratory instruments.
For the correctness percentage, the result of the ontology schema model correctly
conforming to the Sample Info data of GC-MS and HPLC instruments which were
50% and 43% respectively. The correctness percentage conforms to the Result Info
and Graph Info data of both instruments were 100%. For the correctness percentage
conformed to the Experimental Setup Info data of GC-MS and HPLC instruments,
was 96% and 86% respectively. These figures indicate that the average recall
percentage of the IEDOS correctly conforms to all of the grouped data was 84%.
Overall, the results gained were satisfactory although the results of the correctness
percentage conform to Sample Info data was slightly lower because of data selection
factors. Metadata representation structure evaluation and validation consists of
precision and recall analysis to measure the accuracy of metadata extraction from the
laboratory instruments data files. The precision percentages were 90% and recall were
100% for both GCMS and HPLC instruments data files. The results gained shows the
appropriate applicability of the proposed ontology-based metadata, in giving a
standardized structure for the scientific experimental data for these instruments. This
could positively facilitate the analysis of the scientific experimental data by giving the
same structure of data to be compared and evaluated
A framework for halal knowledge metadata representations
Full text linkEnd users and consumers of halal industry are facing difficulties in finding verified halal information. This occurred due to information that is stored in silos at every point of activity for every process chain, employing different structures and models, creating an issue of information verification. Integration of multiple information systems generally aims at combining selected systems so that information can be easily retrieved and manage by users. A proposed five components metadata representation development methodology is presented in this paper so that they form a unified new whole and give users the illusion of interacting with one single information system, therefore, data can be represented using the same abstraction principles (unified global data model and unified semantics) without any physical restructuring
Scientific experimental data representation standard through knowledge metadata representation model
Full text linkThe growth of data from scientific experiments is increasing nowadays. These data came from different experiments done through various laboratory instruments or machines. It became an issue to manage and analyse scientific experimental data because of the heterogeneous nature of data structure and format. This paper proposed a knowledge metadata representation model to standardise the scientific experimental data representation to make it a standard structure. We discussed the methodology of the proposed model and gives the analysis of results. The evaluation and validation of the knowledge metadata representation model, as well as the verification of the metadata elements extraction, show promising results
Integration of scientific experimental data through ontology approach: a review
Full text linkData integration in scientific experiments is important to the scientists in many research domains. This is because many experimental data involved multidiscipline areas and run in different machines or instruments which results in data stored in different ends and human intervention is required in forming a chain of data analysis. Ontology is one of the approaches that have been used in data integration in many domain areas. This paper described and reviewed ontology in data integration effort. Furthermore, the state of research for ontology-based integration of scientific experiment data also covered in this paper
Laboratory instruments' produced scientific data standardization through the use of metadata
No full textThe progression of scientific data from various laboratory instruments is increasing these days. As different laboratory instruments hold different structures and formats of data, it became a concern in the management and analysis of data because of the heterogeneity of data structure and format. This paper offered a metadata structure to standardize the laboratory instruments' -produced scientific data to attain a standard structure and format. This paper contains explanation regarding the methodology and the use of proposed metadata structure, before summarizing the implementation and its related result analysis. The proposed metadata structure extraction shows promising results based on conducted evaluation and validation
Use of ontology approach to standardized scientific experimental data representation
No full textScientific experimental data are rapidly produced by researchers in various research domains. It is difficult to manage and organize different experimental data because of different data sources involved. There is a need to have a standard scientific experimental data representation so that data from different sources can be represented in a standard format. One effective way to standardize scientific experimental data representation is through ontology approach. Ontology can provides a controlled vocabulary of terms that will give a standard name to the parameters of scientific experimental data. In this paper, we focused on standardizing scientific experimental data from laboratory instruments. We explained the flows of the ontology schema design and shows some of the parameters in the proposed ontology schema for instruments experimental data
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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