A web service based on RESTful API and JSON Schema/JSON Meta Schema to construct knowledge graphs

Agócs, Ádám; Goff, Jean‐Marie Le

doi:10.1109/cits.2018.8440193

Cited by 19 publications

(11 citation statements)

References 5 publications

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“…Both syntactical and semantical descriptions need to be machine readable. For syntactical descriptions, schemas can be used, which are available in many data modelling languages [16]. For the semantical description of a parameter, the state of the art is to capture the semantics in human readable form (aimed towards human developers) and assign a unique identifier to the parameter (aimed towards the machine).…”

Section: Auto-generating the CL Hierarchy (Dp#235)mentioning

confidence: 99%

I2BN: Intelligent Intent Based Networks

Szilágyi¹

2021

JICTS

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Intent based network management reduces the complexity of network programming from a growing set of deeply technical APIs to context-free high-level objectives that the network should autonomously achieve and keep. The practical implementation of an intent based network requires substantial automation technology embedded in the network. Automation should cover the entire lifecycle of intents, from their ingestion to fulfillment and assurance. This article investigates the feasibility of automatically assembling interworking implementation units into intent specific automation pipelines, where units are reusable self-learning closed loop micro-services with self-declared capabilities. Each closed loop may gain knowledge and respond to dynamically changing network conditions, thereby enabling network autonomy in reaching the declared intent objectives. The human-network intent interface for expressing intents is proposed to be based on the aggregation of the deployed network and service automation capabilities, rather than a formalism decoupled from the actual network implementation. This principle removes the ambiguity and compatibility gap between human intent definition and machine intent fulfillment, while retaining the flexibility and extendibility of the intents offered by any specific system via onboarding additional micro-services with novel capabilities. The concepts discussed by the article fit into the architecture and closed loop work items already defined by ETSI ZSM and provides considerations towards new areas such as intent driven autonomous networks and enablers for automation.

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Section: Auto-generating the CL Hierarchy (Dp#235)mentioning

confidence: 99%

I2BN: Intelligent Intent Based Networks

Szilágyi¹

2021

JICTS

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“…JSON (JavaScript object notation) is a textual file format, represented as an object consisting of key-value pairs. The format is commonly used in network communication, especially with the rise of REST-based web services [12]. In recent years, JSON have been becoming popular in documented NoSQL databases [24] such as MongoDB, Couchbase, etc.…”

Section: A Textual Formatsmentioning

confidence: 99%

“…Among the most widely known formats used in the Hadoop system are JSON [12], CSV [13], SequenceFile [14], Apache Parquet [15], ORC [16], Apache Avro [17], PBF [18]. However, this list is not exhaustive.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Big Data Storage Tools for Data Lakes based on Apache Hadoop Platform

Belov¹,

Nikulchev²

2021

IJACSA

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When developing large data processing systems, the question of data storage arises. One of the modern tools for solving this problem is the so-called data lakes. Many implementations of data lakes use Apache Hadoop as a basic platform. Hadoop does not have a default data storage format, which leads to the task of choosing a data format when designing a data processing system. To solve this problem, it is necessary to proceed from the results of the assessment according to several criteria. In turn, experimental evaluation does not always give a complete understanding of the possibilities for working with a particular data storage format. In this case, it is necessary to study the features of the format, its internal structure, recommendations for use, etc. The article describes the features of both widely used data storage formats and the currently gaining popularity.

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“…Based on the analysis of functional requirements and limitations related to the survey, the use of the JSON format as an intra-platform presentation was determined [22,23]. JSON Schema tools were used to control the structure of the JSON documents [23,24].…”

Section: Data Collectionmentioning

confidence: 99%

Digital Psychological Platform for Mass Web-Surveys

Nikulchev

Ilin

Silaeva

et al. 2020

Data

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Web-surveys are one of the most popular forms of primary data collection used for various researches. However, mass surveys involve some challenges. It is required to consider different platforms and browsers, as well as different data transfer rates using connections in different regions of the country. Ensuring guaranteed data delivery in these conditions should determine the right choice of technologies for implementing web-surveys. The paper describes the solution to transfer a questionnaire to the client side in the form of an archive. This technological solution ensures independence from the data transfer rate and the stability of the communication connection with significant survey filling time. The conducted survey benefited the service of education psychologists under the federal Ministry of Education. School psychologists consciously took part in the survey, realizing the importance of their opinion for organizing and improving their professional activities. The desire to answer open-ended questions in detail created a part of the answers in the dataset, where there were several sentences about different aspects of professional activity. An important challenge of the problem is the Russian language, for which there are not as many tools as for the languages more widespread in the world. The survey involved 20,443 school psychologists from all regions of the Russian Federation, both from urban and rural areas. The answers did not contain spam, runaround answers, and so on as evidenced by the average response time. For the surveys, an authoring development tool DigitalPsyTools.ru was used.

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A web service based on RESTful API and JSON Schema/JSON Meta Schema to construct knowledge graphs

Cited by 19 publications

References 5 publications

I2BN: Intelligent Intent Based Networks

I2BN: Intelligent Intent Based Networks

Analysis of Big Data Storage Tools for Data Lakes based on Apache Hadoop Platform

Digital Psychological Platform for Mass Web-Surveys

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