Managing mining project documentation using human language technology

Tomašević, Aleksandra; Stanković, Ranka; Utvić, Miloš; Obradović, Ivan; Kolonja, Bozo

doi:10.1108/el-11-2017-0239

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…Documentation plays an important role in a mining safety management system. It enables efficient management and exploitation of documentation related to mining projects, enabling information retrieval and extraction using natural language processing techniques (29). Comprehensive safety documents are required to ensure proper construction and compliance with mine use guidelines for a specific purpose (30).…”

Section: Documentationmentioning

confidence: 99%

Implementation of safety management system in nickel mining: A case of PT Putra Perkasa Abadi Job Site MLP in 2023

Agus Amirudin,

Ikhsan Hidayanto,

Faham Burhanudin

et al. 2024

World J. Adv. Res. Rev.

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Background: The audit of the Mineral and Coal Mining Safety Management System aims to obtain an overview of the level of implementation of the mineral and coal mining management system, assess the capacity of the mining system to ensure compliance with the legislative requirements, evaluate the effectiveness of mining systems in meeting the set targets and identify the potential application of the MSMS to be enhanced at the P.T. Putra Perkasa Eternal Site of PT Makmur Lestari Primatama from the period January 1, 2023 until December 2023. The purpose of this study was to find out the implementation of the safety management system in nickel mining of PT. Putra Perkasa Abadi Job Site MLP in 2023. Method: This type of research is quantitative descriptive. The research conducted in December 2023. Compliance measurements are carried out on 7 elements consisting of Policy, Planning, Organization and Personnel, Implementation, Monitoring, Evaluation and Follow-up Action, Documentation, and Management Review and Performance Improvement. Data collection methods are carried out with interviews, observations, and document explanations. Results: The policy element achieved 74% compliance from the maximum achievable value. Although the maximum value has not been reached, it still shows a good level of compliance. The planning element achieves 59% compliance from the maximum achievable value. Further evaluation is needed to understand the factors that lead to this achievement. Organizational and staff elements reach 51% compliance from the maximum value. Implementation elements reach 38% compliance. There is great potential for improvement in the implementation of this element. The monitoring, evaluation, and follow-up elements reached 46% compliance. More effort is needed to improve performance in this regard. Despite low maximum values, documentation elements reach 58% compliance, indicating a good focus on document management but still requiring optimization. Management review elements and performance improvements reached 46% compliance. This aspect can be a focus of improvement to improve overall performance. Overall, the management system achieved 49% compliance from the maximum value. Conclusion: In general, PT Putra Perkasa Abadi Job Site MLP has procedures and mechanisms that support the creation of a mining safety system. However, improvements are needed that can be directed to elements with lower compliance scores. It requires optimization of each element consisting of Policy, Planning, Organization and Personnel, Implementation, Monitoring, Evaluation and Follow-up, Documentation, as well as management review and performance improvement. Data collection methods were carried out using interviews, observation and document review.

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Section: Documentationmentioning

confidence: 99%

Implementation of safety management system in nickel mining: A case of PT Putra Perkasa Abadi Job Site MLP in 2023

Agus Amirudin,

Ikhsan Hidayanto,

Faham Burhanudin

et al. 2024

World J. Adv. Res. Rev.

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“…A computational procedure to identify emerging topics in periodical materials was proposed and tested in the context of the gallery, library, archive and museum institutions (Candela and Carrasco, 2021). Text-based entity extraction and information retrieval from publications were also applied in engineering (a mining project) (Tomašević et al , 2018), materials science (Zhao et al , 2021) and in the nuclear domain using 120 documents retrieved from the Scopus database (Desul et al , 2019). Techniques were proposed for extracting tables and figures (Clark and Diwala, 2015; Wei et al , 2006) and free text descriptors of images (Lin et al , 2008).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In the cultural heritage textual context (interviews), a methodology for automatic annotation of a multimedia collection of intangible cultural heritage was proposed (Tanasijević and Pavlović-Lažetić, 2020). Text-based entity relation extraction research also addressed unique challenges associated with extending knowledge from a single language context to a cross-lingual context (Mahmood et al , 2019; Tomašević et al , 2018; Yu et al , 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for entity extraction with verification: application to inference of data set usage in research publications

Nestorov

Bačić

Jukić

et al. 2022

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Purpose The purpose of this paper is to propose an extensible framework for extracting data set usage from research articles. Design/methodology/approach The framework uses a training set of manually labeled examples to identify word features surrounding data set usage references. Using the word features and general entity identifiers, candidate data sets are extracted and scored separately at the sentence and document levels. Finally, the extracted data set references can be verified by the authors using a web-based verification module. Findings This paper successfully addresses a significant gap in entity extraction literature by focusing on data set extraction. In the process, this paper: identified an entity-extraction scenario with specific characteristics that enable a multiphase approach, including a feasible author-verification step; defined the search space for word feature identification; defined scoring functions for sentences and documents; and designed a simple web-based author verification step. The framework is successfully tested on 178 articles authored by researchers from a large research organization. Originality/value Whereas previous approaches focused on completely automated large-scale entity recognition from text snippets, the proposed framework is designed for a longer, high-quality text, such as a research publication. The framework includes a verification module that enables the request validation of the discovered entities by the authors of the research publications. This module shares some similarities with general crowdsourcing approaches, but the target scenario increases the likelihood of meaningful author participation.

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“…A monolingual corpus from the mining domain was developed as part of a project related to managing mining project documentation using human language technology [31] and used within this research in the web and mobile applications.…”

Section: Digital Resources In Raw Materials Domainmentioning

confidence: 99%

“…The monolingual corpus of texts from the mining domain and related research work, which comprised 172 documents (in Serbian) with 2.7 million words in first release [31], was subsequently enlarged with 63 documents. The current version has 4.1 million words, covering project documentation (26%), legislation (11%), doctoral dissertations (31%), textbooks and other mining literature (32%).…”

Section: Corpora Enlargementmentioning

confidence: 99%

A Data Driven Approach for Raw Material Terminology

et al. 2021

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The research presented in this paper aims at creating a bilingual (sr-en), easily searchable, hypertext, born-digital, corpus-based terminological database of raw material terminology for dictionary production. The approach is based on linking dictionaries related to the raw material domain, both digitally born and printed, into a lexicon structure, aligning terminology from different dictionaries as much as possible. This paper presents the main features of this approach, data used for compilation of the terminological database, the procedure by which it has been generated and a mobile application for its use. Available (terminological) resources will be presented—paper dictionaries and digital resources related to the raw material domain, as well as general lexica morphological dictionaries. Resource preparation started with dictionary (retro)digitisation and corpora enlargement, followed by adding new Serbian terms to general lexica dictionaries, as well as adding bilingual terms. Dictionary development is relying on corpus analysis, details of which are also presented. Usage examples, collocations and concordances play an important role in raw material terminology, and have also been included in this research. Some important related issues discussed are collocation extraction methods, the use of domain labels, lexical and semantic relations, definitions and subentries.

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Managing mining project documentation using human language technology

Cited by 3 publications

References 9 publications

Implementation of safety management system in nickel mining: A case of PT Putra Perkasa Abadi Job Site MLP in 2023

Implementation of safety management system in nickel mining: A case of PT Putra Perkasa Abadi Job Site MLP in 2023

Framework for entity extraction with verification: application to inference of data set usage in research publications

A Data Driven Approach for Raw Material Terminology

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