scholarly journals A Global & Environmental Coral Analysis System with SPA-Based Semantic Computing for Integrating and Visualizing Ocean-Phenomena with “5-Dimensional World-Map”

2020 ◽  
Author(s):  
Yasushi Kiyoki ◽  
Petchporn Chawakitchareon ◽  
Sompop Rungsupa ◽  
Xing Chen ◽  
Kittiya Samlansin
Keyword(s):  
Knowledge Base ◽  
Semantic Space ◽  
Semantic Interpretation ◽  
Health Level ◽  
Global Environmental ◽  
Coral Health ◽  
Ocean Environment ◽  
Computing Method ◽  
Level Analysis ◽  
Semantic Computing

Semantic computing is essentially significant for realizing the semantic interpretation of natural and social phenomena and analyzes the changes of various environmental situations. The 5D World Map (5DWM) System [4,6,8] has introduced the concept of “SPA (Sensing, Processing and Analytical Actuation Functions)” for global environmental system integrations [1–4], as a global environmental knowledge sharing, analysis and integration system. Environmental knowledge base creation with 5D World Map is realized for sharing, analyzing and visualizing various information resources to the map which can facilitate global phenomena-observations and knowledge discoveries with multi-dimensional axis control mechanisms. The 5DWM is globally utilized as a Global Environmental Semantic Computing System, in SDGs 9, 11, 14, United-Nations-ESCAP: (https://sdghelpdesk.unescap.org/toolboxes) for observing and analyzing disaster, natural phenomena, ocean-water situations with local and global multimedia data resources. This paper proposes a new semantic computing method as an important approach to semantic analysis for various environmental phenomena and changes in a real world. This method realizes “Self-Contained-Knowledge-Base-Image” & “Contextual-Semantic-Interpretation” as a new concept of “Coral-Health-level Analysis in Semantic-Space for Ocean-environment” for global ocean-environmental analysis [8,9,12,18]. This computing method is applied to automatic database creation with coral-health-level analysis sensors for interpreting environmental phenomena and changes occurring in the oceans in the world. We have focused on an experimental study for creating “Coral-Health-level Analysis Semantic-Space for Ocean-environment” [8,9,12,18]. This method realizes new semantic interpretation for coral health-level with “coral-images and coral-health-level knowledge-chart”.

scholarly journals Generation of Cross-Lingual Word Vectors for Low-Resourced Languages Using Deep Learning and Topological Metrics in a Data-Efficient Way

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1372
Author(s):  
Sanjanasri JP ◽  
Vijay Krishna Menon ◽  
Soman KP ◽  
Rajendran S ◽  
Agnieszka Wolk
Keyword(s):  
Deep Learning ◽  
Language Processing ◽  
Semantic Space ◽  
Semantic Interpretation ◽  
Learning Approaches ◽  
Qualitative Comparison ◽  
Bilingual Dictionary ◽  
Pos Tagging ◽  
Part Of Speech ◽  
Cross Lingual

Linguists have been focused on a qualitative comparison of the semantics from different languages. Evaluation of the semantic interpretation among disparate language pairs like English and Tamil is an even more formidable task than for Slavic languages. The concept of word embedding in Natural Language Processing (NLP) has enabled a felicitous opportunity to quantify linguistic semantics. Multi-lingual tasks can be performed by projecting the word embeddings of one language onto the semantic space of the other. This research presents a suite of data-efficient deep learning approaches to deduce the transfer function from the embedding space of English to that of Tamil, deploying three popular embedding algorithms: Word2Vec, GloVe and FastText. A novel evaluation paradigm was devised for the generation of embeddings to assess their effectiveness, using the original embeddings as ground truths. Transferability across other target languages of the proposed model was assessed via pre-trained Word2Vec embeddings from Hindi and Chinese languages. We empirically prove that with a bilingual dictionary of a thousand words and a corresponding small monolingual target (Tamil) corpus, useful embeddings can be generated by transfer learning from a well-trained source (English) embedding. Furthermore, we demonstrate the usability of generated target embeddings in a few NLP use-case tasks, such as text summarization, part-of-speech (POS) tagging, and bilingual dictionary induction (BDI), bearing in mind that those are not the only possible applications.

scholarly journals ANALISIS TINGKAT KESEHATAN PT. BPR BATANG KAPAS

2018 ◽  
Author(s):  
Mira Hadayani ◽  
Doni Marlius
Keyword(s):  
Precautionary Principle ◽  
Health Assessment ◽  
The Precautionary Principle ◽  
Health Level ◽  
Level Analysis

The purpose of this study is to determine the health level at PT. Credit BankRakyat (BPR) Batang Kapas and should be carried out by PT. BPR Cotton Trunk insideminimize the problems that occur. The focus of this research is focused on: Level Analysis Health of PT. BPR Batang Kapas. The results of the study were the Health Level Analysis of PT. Batang Kapas BPR can be seen in several stages stages of health,assessment of the validity of data or files, analysis of 5C, and provisions for collateral already started well, but there is no health at PT. BPR Batang Kapas.It is recommended to state the level of health so that the bank is more selective and careful things to analyze the ability of prospective debtors in the level of health of PT.BPR Cotton stems and prioritize the precautionary principle to avoid error in the level of his health.

scholarly journals ANALISIS TINGKAT KESEHATAN BANK PADA PT. BANK PERKREDITAN RAKYAT (BPR) JORONG KAMPUANG TANGAH PARIAMAN CABANG PADANG

2018 ◽  
Author(s):  
Yora Aprilia Putri ◽  
Doni Marlius
Keyword(s):  
Health Data ◽  
Capital Adequacy ◽  
Validity Assessment ◽  
Health Level ◽  
Capital Adequacy Ratio ◽  
Level Analysis

The purpose of this study is to determine the level of bank health at PT. Bank Perkreditan Rakyat (BPR) Jorong Kampuang Tangah Pariaman Cabang Padang that should be done by the bank in minimizing problems that occur. This research focused on: Analysis of Bank Health Level At PT. Bank Perkreditan Rakyat (BPR) Jorong Kampuang Tangah Pariaman Cabang Padang. The result of this research is Bank Health Level Analysis of PT. BPR-JKT Pariaman Cabang Padang which can be seen in several process stages from the level of health, data or file validity assessment, CAMEL analysis that is, analysis of Capital Adequacy Ratio (CAR) which decreased by 2015 by 15% and decrease in 2016 by 11% due to no decrease or increase in capital, while the CAR of 2015-2016 is above the BI standard of 8% which means healthy. Ratio of BPR-JKT Cabang Pariaman Padang is under 10.35% in healthy category, as well as ROA owned in healthy condition while Ratio LDR PT. BPR-JKT Pariaman Cabang Padang is not in the healthy category by 2015-2016 the bank can not keep LDR below 94.75%.

Construction of Knowledge Base for Clothing Sensory Design

2011 ◽  
Vol 175-176 ◽  
pp. 811-816
Author(s):  
Hong Lu ◽  
Yan Chen ◽  
Hong Qin Dai
Keyword(s):  
Knowledge Base ◽  
Fuzzy Numbers ◽  
Semantic Space ◽  
Design Rule ◽  
Basic Rule ◽  
Card Sorting ◽  
Body Type ◽  
Analytic Hierarchy ◽  
Design Elements ◽  
Sensory Design

In this paper, the contents of knowledge base for clothing sensory design are defined as four parts: the clothing design elements, semantic expression, reflection between the former two and design rules. The character and contents of each part are discussed and analyzed respectively. Methods of interviewing, laddering, card sorting, analytic hierarchy process (AHP), Hierarchy structure, triangle fuzzy numbers, literature reviewing etc. are chosen for the knowledge elicitation and representation. The men’s suit is used as a case study to explain the whole procedure of knowledge base construction. The style design elements of the men’s suit are decomposed into 9 items and 28 categories. The semantic space of the sensory evaluation towards the men’s suit is modelled in the form of 4 word-pairs: formal- casual, classical- modern, gorgeous- simple and elegant- masculine. The triangular fuzzy numbers are introduced to quantify the 7-point scales of linguistic descriptions (extreme, very, rather, average, rather, very and extreme). And the reflection of the design elements space and semantic space is acquired and represented. The design rule of the men’s suit is obtained by the method of literature reviewing and interviewing. It includes both the basic rule derived from the beauty rule and the design principle based on consumers’ character such as body type and facial colour etc. All techniques and methods are not limited to men’s suit itself but can be extended to other garments or products. The conclusions of the paper will play an important role in realizing the goals such as clothing individuation, sensation, intellectualization and fashion etc.

A Model Approach to Infer the Quality in Agricultural Sprayers Supported by Knowledge Bases and Experimental Measurements

2017 ◽  
Vol 11 (03) ◽  
pp. 279-292 ◽  
Author(s):  
Elmer A. G. Peñaloza ◽  
Paulo E. Cruvinel ◽  
Vilma A. Oliveira ◽  
Augusto G. F. Costa
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Experimental Tests ◽  
Knowledge Bases ◽  
Operating Conditions ◽  
Semantic Interpretation ◽  
Data Consistency ◽  
Flow Measurements ◽  
Spraying Process

This paper presents a method to infer the quality of sprayers based on data collection of the drop spectra and their physical descriptors, which are used to generate a knowledge base to support decision-making in agriculture. The knowledge base is formed by collected experimental data, obtained in a controlled environment under specific operating conditions, and the semantics used in the spraying process to infer the quality in the application. The electro-hydraulic operating conditions of the sprayer system, which include speed and flow measurements, are used to define experimental tests, perform calibration of the spray booms and select the nozzle types. Using the Grubbs test and the quartile-quartile plot an exploratory analysis of the collected data was made in order to determine the data consistency, the deviation of atypical values, the independence between the data of each test, the repeatability and the normal representation of them. Therefore, integrating measurements to a knowledge base it was possible to improve the decision-making in relation to the quality of the spraying process defined in terms of a distribution function. Results shown that the use of advanced models and semantic interpretation improved the decision-making processes related to the quality of the agricultural sprayers.

A DISTRIBUTIONAL STRUCTURED SEMANTIC SPACE FOR QUERYING RDF GRAPH DATA

2011 ◽  
Vol 05 (04) ◽  
pp. 433-462 ◽  
Author(s):  
ANDRÉ FREITAS ◽  
EDWARD CURRY ◽  
JOÃO GABRIEL OLIVEIRA ◽  
SEÁN O'RIAIN
Keyword(s):  
Vector Space ◽  
Data Model ◽  
Linked Data ◽  
Fundamental Problem ◽  
Semantic Space ◽  
Semantic Interpretation ◽  
Rdf Graph ◽  
Data Consumption ◽  
Model Independent ◽  
Rdf Data

The vision of creating a Linked Data Web brings together the challenge of allowing queries across highly heterogeneous and distributed datasets. In order to query Linked Data on the Web today, end users need to be aware of which datasets potentially contain the data and also which data model describes these datasets. The process of allowing users to expressively query relationships in RDF while abstracting them from the underlying data model represents a fundamental problem for Web-scale Linked Data consumption. This article introduces a distributional structured semantic space which enables data model independent natural language queries over RDF data. The center of the approach relies on the use of a distributional semantic model to address the level of semantic interpretation demanded to build the data model independent approach. The article analyzes the geometric aspects of the proposed space, providing its description as a distributional structured vector space, which is built upon the Generalized Vector Space Model (GVSM). The final semantic space proved to be flexible and precise under real-world query conditions achieving mean reciprocal rank = 0.516, avg. precision = 0.482 and avg. recall = 0.491.

Semantic Interpretation of Natural Language User Input to Improve Search in Multimedia Knowledge Base (Semantische Interpretation einer Benutzer-Eingabe in natürlicher Sprache für eine verbesserte Suche in einer multimedialen Wissensdatenbank)

2007 ◽  
Vol 49 (1) ◽  
Author(s):  
Serge Linckels ◽  
Christoph Meinel
Keyword(s):  
Natural Language ◽  
Knowledge Base ◽  
Keyword Search ◽  
Semantic Interpretation ◽  
Semantic Query ◽  
User Input ◽  
Background Theory ◽  
Multimedia Resources ◽  
Language User ◽  
Semantic Search Engine

In this article we present an e-librarian service which is able to retrieve multimedia resources from a knowledge base in a more efficient way than by browsing through an index or by using a simple keyword search. Our premise is that more pertinent results would be retrieved if the e-librarian service had a semantic search engine which understood the sense of the user's query. We explored the approach to allow the user to formulate a complete question in natural language.We present our background theory, which is composed of three steps. Firstly, there is the linguistic pre-processing of the user question. Secondly, there is the semantic interpretation of the user question into a logical and unambiguous form, i. e., ALC terminology. Thirdly, there is the generation of a semantic query, and the retrieval of pertinent documents.The background theory was implemented in two prototypes. We report on experiments that confirm the feasibility, the quality and the benefits of such an e-librarian service. From 229 different user questions, the system returned for 97 answer, and for nearly half of the questions only one answer (the best one).

Producers, Trade Groups, and the Design of Global Environmental Regimes

2017 ◽  
Author(s):  
Alexander Ovodenko
Keyword(s):  
Statistical Tests ◽  
International Regimes ◽  
Soft Law ◽  
International Regime ◽  
Member States ◽  
Environmental Regimes ◽  
Global Environmental ◽  
Environmental Treaty ◽  
Level Analysis ◽  
Over Time

The chapter provides a macro-level analysis of the legalization, standardization, and integration of global environmental rules. The statistical tests rely on two new datasets on global treaty regimes and business stakeholders in those regimes. The results demonstrate that treaty regimes that regulate oligopolistic industries tend to become integrated over time with protocols, amendments, and similar agreements that add new rules or institutions to the international regime. They also consist of legally binding agreements, not soft law commitments by parties, and standardized rules applicable to all member states or categories of member states. By contrast, treaty regimes that regulate competitive markets tend to become more disintegrated (or unintegrated) over time. These international regimes are also legal hybrids because they consist of hard and soft law, and often give countries the responsibility to make nationally specific commitments. Producer-level concentrations significantly constrain the design of global environmental treaty regimes.

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