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DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. Since its first release in 2014 as a W3C Recommendation, DCAT has seen a wide adoption across communities and domains,…

Digital Libraries · Computer Science 2023-03-17 Riccardo Albertoni , David Browning , Simon Cox , Alejandra N. Gonzalez-Beltran , Andrea Perego , Peter Winstanley

This paper presents inference rules for Resource Description Framework (RDF), RDF Schema (RDFS) and Web Ontology Language (OWL). Our formalization is based on Notation 3 Logic, which extended RDF by logical symbols and created Semantic Web…

Databases · Computer Science 2016-01-13 Dominik Tomaszuk

Reified Input/Output (I/O) logic[21] has been recently proposed to model real-world norms in terms of the logic in [11]. This is massively grounded on the notion of reification, and it has specifically designed to model meaning of natural…

Artificial Intelligence · Computer Science 2021-10-15 Livio Robaldo , Kolawole J. Adebayo

The W3C Web Ontology Language (OWL) is a powerful knowledge representation formalism at the basis of many semantic-centric applications. Since its unrestricted usage makes reasoning undecidable already in case of very simple tasks,…

Artificial Intelligence · Computer Science 2020-08-06 Alessio Fiorentino , Jessica Zangari , Marco Manna

The initial adoption of knowledge graphs by Google and later by big companies has increased their adoption and popularity. In this paper we present a formal model for three different types of knowledge graphs which we call RDF-based graphs,…

Databases · Computer Science 2021-10-27 Jose Emilio Labra Gayo

A document spanner models a program for Information Extraction (IE) as a function that takes as input a text document (string over a finite alphabet) and produces a relation of spans (intervals in the document) over a predefined schema. A…

Databases · Computer Science 2018-05-24 Liat Peterfreund , Balder ten Cate , Ronald Fagin , Benny Kimelfeld

While there exist approaches to integrate heterogeneous data using semantic models, such semantic models can typically not be used by existing software tools. Many software tools - especially in engineering - only have options to import and…

Databases · Computer Science 2022-11-07 Aljosha Köcher , Artan Markaj , Alexander Fay

The paper introduces a tool prototype that combines SHACL's capabilities with ad-hoc validation functions to create a controlled and user-friendly form interface for producing valid RDF data. The proposed tool is developed within the…

Databases · Computer Science 2023-07-06 Elia Rizzetto , Arcangelo Massari , Ivan Heibi , Silvio Peroni

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

We investigate feasible computation over a fairly general notion of data and codata. Specifically, we present a direct Bellantoni-Cook-style normal/safe typed programming formalism, RS1, that expresses feasible structural recursions and…

Logic in Computer Science · Computer Science 2012-01-31 Norman Danner , James S. Royer

SHACL is a W3C-proposed schema language for expressing structural constraints on RDF graphs. Recent work on formalizing this language has revealed a striking relationship to description logics. SHACL expressions can use three fundamental…

Logic in Computer Science · Computer Science 2024-08-07 Bart Bogaerts , Maxime Jakubowski , Jan Van den Bussche

Relational understanding is critical for a number of visually-rich documents (VRDs) understanding tasks. Through multi-modal pre-training, recent studies provide comprehensive contextual representations and exploit them as prior knowledge…

Computation and Language · Computer Science 2022-05-06 Xin Li , Yan Zheng , Yiqing Hu , Haoyu Cao , Yunfei Wu , Deqiang Jiang , Yinsong Liu , Bo Ren

While large language models (LLMs) demonstrate impressive capabilities, their reliance on parametric knowledge often leads to factual inaccuracies. Retrieval-Augmented Generation (RAG) mitigates this by leveraging external documents, yet…

Computation and Language · Computer Science 2025-10-07 Lingnan Xu , Chong Feng , Kaiyuan Zhang , Liu Zhengyong , Wenqiang Xu , Fanqing Meng

The SPARQL query language is a recent W3C standard for processing RDF data, a format that has been developed to encode information in a machine-readable way. We investigate the foundations of SPARQL query optimization and (a) provide novel…

Databases · Computer Science 2009-01-26 Michael Schmidt , Michael Meier , Georg Lausen

RDF has become very popular for semantic data publishing due to its flexible and universal graph-like data model. Yet, the ever-increasing size of RDF data collections makes it more and more infeasible to store and process them on a single…

Databases · Computer Science 2016-01-28 Alexander Schätzle , Martin Przyjaciel-Zablocki , Simon Skilevic , Georg Lausen

RDF data is often treated as incomplete, following the Open-World Assumption. On the other hand, SPARQL, the standard query language over RDF, usually follows the Closed-World Assumption, assuming RDF data to be complete. This gives rise to…

Databases · Computer Science 2014-09-04 Fariz Darari , Simon Razniewski , Werner Nutt

The Resource Description Framework (RDF) is a fundamental technology in the Semantic Web, enabling the representation and interchange of structured data. However, RDF lacks the capability to express negated statements in a generic way. As a…

Logic in Computer Science · Computer Science 2024-06-18 Patrick Hochstenbach , Mathijs van Noort , Dörthe Arndt , Rebekka Martens , Jos De Roo , Ruben Verborgh , Pieter Bonte , Femke Ongenae

SPARQL CONSTRUCT queries allow for the specification of data processing pipelines that transform given input graphs into new output graphs. It is now common to constrain graphs through SHACL shapes allowing users to understand which data…

Databases · Computer Science 2024-05-22 Philipp Seifer , Daniel Hernández , Ralf Lämmel , Steffen Staab

Extracting formal knowledge (ontologies) from natural language is a challenge that can benefit from a (semi-) formal linguistic representation of texts, at the semantic level. We propose to achieve such a representation by implementing the…

Artificial Intelligence · Computer Science 2022-01-14 David Rouquet , Valérie Bellynck , Christian Boitet , Vincent Berment

We introduce Raqlet, a source-to-source compilation framework that addresses the fragmentation of recursive querying engines spanning relational (recursive SQL), graph (Cypher, GQL), and deductive (Datalog) systems. Recent standards such as…

Databases · Computer Science 2025-08-07 Amir Shaikhha , Youning Xia , Meisam Tarabkhah , Jazal Saleem , Anna Herlihy