Aug 2026· International Journal of Education and Management Engineering· Vol 16, pp. 1-15· 0 citations
TL;DR
This article proposes a formal representation of this type of document through a semantic description layer that formally describes the document's logical structure and captures its underlying semantics, and demonstrates the practical utility of these Ontological Cores through three distinct use cases.
Abstract
The preservation of rare documents in the form of image collections presents significant challenges regarding access to their documentary content. To enable this accessibility for software agents, this article proposes a formal representation of this type of document through a semantic description layer. This layer includes a set of descriptive metadata attached to the document, alongside the minimal and strictly necessary vocabulary required to formalize the explicit textual and visual knowledge of its documentary content. To achieve this, we present a construction methodology based on a Semantic Model of Document (SMD), where a document is treated as a core documentary resource containing a set of information resources. The semantic description of these resources, aligned with RDF framework logic, produces an Ontological Core of Document (OCD) that formally describes the document's logical structure and captures its underlying semantics. Finally, we demonstrate the practical utility of these Ontological Cores through three distinct use cases—each targeting a specific dataset level (structural, administrative, and semantic)—showing how they allow software applications to move beyond simple collection searching toward intelligent, precise information extraction directly from the documentary content.
This investigation proposes the NORKE framework, a structure-aware solution for constructing KGs from normative documents that leverages the inherent normative hierarchy, to extract and formalize rules as semantically cohesive RDF triples.
E. D. de Souza, A. Gomes, J. D. dos Reis et al.· 0 citations
The format, its schema mechanism, and its packaging are introduced: economical enough for an agent to process, and provable enough for its answer to be trusted for enterprise document AI.
J. Paoli· Balisage Series on Markup Te...· 0 citations
The goal of this work is to put into context recent updates in ontology engineering and present the necessary additional information targeted to reuse by providing an updated overview and proposing a two-tier categorisation, believed to be the first review to offer such an intra-category classification.
Davide Di Pierro, L. Abrouk, A. Guyot et al.· 0 citations
The results demonstrate the feasibility of the proposed framework for producing consistent sentence-level semantic extraction from quality-related construction requirement text and demonstrate how ontology-guided fine-tuning can provide explicit semantic grounding for LLM-based information extraction.
Lian-Nian Wang, Jeongbin Hwang, Kevin Han et al.· Journal of Management in Eng...· 0 citations
This work builds four modules (for drug-discovery chemistry, materials science, machine learning, and mineral geochemistry) in the ArticleMiner framework, and evaluates them on 163 papers, including a new geochemistry benchmark with expert-curated ground truth.
Md Abrar Jahin, Craig A. Knoblock, Jay Pujara· arXiv (Cornell University)· 1 citation
It is argued that the fact that the subjects have ultimate authority over the interpretation of XML documents renders the documents hermeneutically unstable – an instability that even the inclusion of a comment specifying a principle for handling known and unknown information shifts rather than definitively resolves.
T. Tambassi· Logic and Logical Philosophy· 0 citations
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