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Archived collections of documents (like newspaper and web archives) serve as important information sources in a variety of disciplines, including Digital Humanities, Historical Science, and Journalism. However, the absence of efficient and…

Information Retrieval · Computer Science 2021-07-30 Pavlos Fafalios , Vaibhav Kasturia , Wolfgang Nejdl

While classical planning languages make the closed-domain and closed-world assumption, there have been various approaches to extend those with DL reasoning, which is then interpreted under the usual open-world semantics. Current approaches…

Artificial Intelligence · Computer Science 2023-08-17 Tobias John , Patrick Koopmann

This paper discloses the potential of OWL (Web Ontology Language) ontologies for generation of rules. The main purpose of this paper is to identify new types of rules, which may be generated from OWL ontologies. Rules, generated from OWL…

Artificial Intelligence · Computer Science 2014-04-21 Olegs Verhodubs

Retrieve information resources made by the machine processing may refer to multiple sources. A personal web as part of information resources in the Internet requires a feature that can be understood by computer machines. Therefore, in this…

Digital Libraries · Computer Science 2013-12-23 Istiadi , Azhari

Semantic Web is actually an extension of the current one in that it represents information more meaningfully for humans and computers alike. It enables the description of contents and services in machine-readable form, and enables…

Artificial Intelligence · Computer Science 2010-06-24 Mohammad Mustafa Taye

In the materials design domain, much of the data from materials calculations are stored in different heterogeneous databases. Materials databases usually have different data models. Therefore, the users have to face the challenges to find…

Databases · Computer Science 2020-11-06 Huanyu Li , Rickard Armiento , Patrick Lambrix

Traditional ontology design emphasizes disjoint and exhaustive top-level distinctions such as continuant vs. occurrent, abstract vs. concrete, or type vs. instance. These distinctions are used to structure unified hierarchies where every…

Artificial Intelligence · Computer Science 2025-12-16 Ege Atacan Doğan , Peter F. Patel-Schneider

Ontology development methodologies emphasise knowledge gathering from domain experts and documentary resources, and knowledge representation using an ontology language such as OWL or FOL. However, working ontologists are often surprised by…

Artificial Intelligence · Computer Science 2023-01-11 Fabian Neuhaus , Janna Hastings

Ontologies and rules are usually loosely coupled in knowledge representation formalisms. In fact, ontologies use open-world reasoning while the leading semantics for rules use non-monotonic, closed-world reasoning. One exception is the…

Artificial Intelligence · Computer Science 2020-02-19 Ana Sofia Gomes , Jose Julio Alferes , Terrance Swift

The use of domain knowledge is generally found to improve query efficiency in content filtering applications. In particular, tangible benefits have been achieved when using knowledge-based approaches within more specialized fields, such as…

Information Retrieval · Computer Science 2015-03-17 Pekka Malo , Pyry Siitari , Oskar Ahlgren , Jyrki Wallenius , Pekka Korhonen

Ontologies provide features like a common vocabulary, reusability, machine-readable content, and also allows for semantic search, facilitate agent interaction and ordering & structuring of knowledge for the Semantic Web (Web 3.0)…

Information Retrieval · Computer Science 2017-09-08 Monika Rani , Amit Kumar Dhar , O. P. Vyas

This paper discusses an axiomatic approach for the integration of ontologies, an approach that extends to first order logic a previous approach (Kent 2000) based on information flow. This axiomatic approach is represented in the Information…

Digital Libraries · Computer Science 2018-10-12 Robert E. Kent

Enterprise information systems have adopted Web-based foundations for exchanges between heterogeneous programmes. These programs provide and consume via Web APIs some resources identified by URIs, whose representations are transmitted via…

Artificial Intelligence · Computer Science 2020-07-28 Mathieu Lirzin , Béatrice Markhoff

This paper presents a hybrid architecture for intelligent systems in which large language models (LLMs) are extended with an external ontological memory layer. Instead of relying solely on parametric knowledge and vector-based retrieval…

Artificial Intelligence · Computer Science 2026-04-23 Pavel Salovskii , Iuliia Gorshkova

This paper presents a new ontology that implements the well-known Deontic Traditional Scheme in RDFs and SPARQL, fit to handle irresolvable conflicts, i.e., situations in which two or more statements prescribe conflicting obligations,…

Artificial Intelligence · Computer Science 2025-10-28 Livio Robaldo , Gianluca Pozzato

This works considers challenges of building and usage a formal knowledge base (model), which unites the ATT&CK, CAPEC, CWE, CVE security enumerations. The proposed model can be used to learn relations between attack techniques, attack…

Cryptography and Security · Computer Science 2021-12-09 Andrei Brazhuk

Transforming relational databases into knowledge graphs with enriched ontologies enhances semantic interoperability and unlocks advanced graph-based learning and reasoning over data. However, previous approaches either demand significant…

A critical step in sharing semantic content online is to map the structural data source to a public domain ontology. This problem is denoted as the Relational-To-Ontology Mapping Problem (Rel2Onto). A huge effort and expertise are required…

Artificial Intelligence · Computer Science 2022-12-22 Jiakang Xu , Wolfgang Mayer , HongYu Zhang , Keqing He , Zaiwen Feng

Resource Description Framework (RDF) can seen as a solution in today's landscape of knowledge representation research. An RDF language has symmetrical features because subjects and objects in triples can be interchangeably used. Moreover,…

Databases · Computer Science 2020-01-03 Dominik Tomaszuk , David Hyland-Wood

We propose an ontology-grounded approach to Knowledge Graph (KG) construction using Large Language Models (LLMs) on a knowledge base. An ontology is authored by generating Competency Questions (CQ) on knowledge base to discover knowledge…

Artificial Intelligence · Computer Science 2024-12-31 Xiaohan Feng , Xixin Wu , Helen Meng