Multilayer document model for semantic document management services

Sladić, Goran; Cverdelj-Fogaraši, Igor; Gostojić, Stevan; Savić, Goran; Segedinac, Milan; Zarić, Miroslav

doi:10.1108/jd-07-2016-0095

Cited by 7 publications

(7 citation statements)

References 34 publications

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“…From the conceptual viewpoint, to the best of our knowledge, this paper presents a novel and comprehensive approach to the modeling process of a given reality, based on four levels and four processes. From the theoretical viewpoint, the MFSM recognizes and integrates different modeling perspectives present in other models that address modeling-specific parts of reality (e.g., Bastos et al, 2018;Sladic et al, 2017;Castano et al, 2018;Rousi et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…For instance, in addition to the fact that a given car can be easily identified through the three previous processes, they do not enable the association of this same car with domains such as all existing types of cars, all types of vehicles, or all types of transport systems, or with the specific spatial-temporal domain in which it is inserted. Thus, it is important to consider that besides its intrinsic meaning, an object may be associated with different domains that can be purely thematic, or spatial-temporal (Bastos et al, 2018;Kim et al, 2018;Pfaff et al, 2018;Sladic et al, 2017;Troncy et al, 2017). Thus, the domains are important elements to show the relative positioning of a given object in the semantic context [5] to which it is related.…”

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confidence: 99%

“…As such, most of the models address issues in the level of classes of entities. Also, these models are specified and presented in different levels of comprehensiveness: classification only (Annane et al, 2018;Codescu et al, 2017;Hider, 2009;Jin and Claramunt, 2018;Wirfs-Brock et al, 1990); classification plus decomposition of the entities into attributes (Cidoc-Crm (ICM, 2019); Hider, 2016); classification plus instantiation (Farrokhnia, 2013;Ruggeri et al, 2019); classification plus decomposition plus instantiation (Bastos et al, 2018;Chen, 1976;Pfaff et al, 2018;Sladic et al, 2017;Tallerås et al, 2018;Wicket, 2018).…”

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confidence: 99%

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A multi-layer framework for semantic modeling

Silva¹,

Reis²,

Fernandes

et al. 2019

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Purpose The purpose of this paper is to introduce a multi-level framework for semantic modeling (MFSM) based on four signification levels: objects, classes of entities, instances and domains. In addition, four fundamental propositions of the signification process underpin these levels, namely, classification, decomposition, instantiation and contextualization. Design/methodology/approach The deductive approach guided the design of this modeling framework. The authors empirically validated the MFSM in two ways. First, the authors identified the signification processes used in articles that deal with semantic modeling. The authors then applied the MFSM to model the semantic context of the literature about lean manufacturing, a field of management science. Findings The MFSM presents a highly consistent approach about the signification process, integrates the semantic modeling literature in a new and comprehensive view; and permits the modeling of any semantic context, thus facilitating the development of knowledge organization systems based on semantic search. Research limitations/implications The use of MFSM is manual and, thus, requires a considerable effort of the team that decides to model a semantic context. In this paper, the modeling was generated by specialists, and in the future should be applicated to lay users. Practical implications The MFSM opens up avenues to a new form of classification of documents, as well as for the development of tools based on the semantic search, and to investigate how users do their searches. Social implications The MFSM can be used to model archives semantically in public or private settings. In future, it can be incorporated to search engines for more efficient searches of users. Originality/value The MFSM provides a new and comprehensive approach about the elementary levels and activities in the process of signification. In addition, this new framework presents a new form to model semantically any context classifying its objects.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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A multi-layer framework for semantic modeling

Silva¹,

Reis²,

Fernandes

et al. 2019

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“…As proposed in [36], the semantic document approach can be applied to the legal domain. Th e semantic representation of legal documents is the fi rst and necessary step of the approach, continuing with the semantic modeling of metadata (the implementation of legislative metadata layer) and ending with the semantic enrichment of legislative document workfl ow.…”

Section: Discussionmentioning

confidence: 99%

Legal Document Management: An Integrated Approach

Gostojić¹

2019

Proceedings of the International Scientific Conference - Sinteza 2019

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In this paper, we introduce the main legal document management concepts. Furthermore, we review legal document types and formats, legal document life-cycle phases, and legal document management systems components implementing those phases. Several successful cases studies of legal document management are identified. Based on the review and the case studies, we identify several issues in legal document management and give recommendations on how to overcome those issues. The recommendations come down to using standardized document and metadata formats, publishing documents and metadata using open data recommendations if possible and using standards-abiding software.

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“…In the effort to provide a model for document classification, Sladic et al. (2017) introduce a two-level model where the documents are organised.…”

Section: A Perspective On the Formation Of Knowledge And Its Expressi...mentioning

confidence: 99%

Expanding the current tacit/explicit knowledge dichotomy encompassing situated and theoretical/normative knowledge: a phenomenological perspective

Silva

Silva²

2022

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PurposeThis article introduces a model of knowledge creation in consciousness, the creation of explicit knowledge in six forms and its register and organisation in documents.Design/methodology/approachAssuming the premise of three realms of reference to knowledge and two forms of reference to entities, this article, through a phenomenological perspective, deduces a model of the creation of knowledge in consciousness and the creation of explicit knowledge in six forms and its register in documents.FindingsTwo basic types of knowledge are introduced: situated knowledge and theoretical/normative knowledge. Considering three realms of reference of knowledge – the space–time realm, subjectivity realm and linguistic realm – six general types of knowledge are deduced. Finally, three layers of knowledge organisation are presented: classification and mapping documents, theoretical/normative documents and documents of situations.Practical implicationsThis article can contribute to the development of more efficient forms of creation of explicit knowledge, its register in documents and the development of more efficient knowledge organisation and management systems.Originality/valueRelying on established perspectives of the realms where subjectivity is immersed, this article discusses how knowledge is created in consciousness and registered in documents. It also presents a novel perspective of types of knowledge through the combination of dimensions, realms of reference and forms of reference to entities.

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Multilayer document model for semantic document management services

Cited by 7 publications

References 34 publications

A multi-layer framework for semantic modeling

A multi-layer framework for semantic modeling

Legal Document Management: An Integrated Approach

Expanding the current tacit/explicit knowledge dichotomy encompassing situated and theoretical/normative knowledge: a phenomenological perspective

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