Results 81 to 90 of about 10,041 (206)

Question Answering on Linked Data: Challenges and Future Directions

open access: yes, 2016
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly semantic-enriched ...
Endris, Kemele   +6 more
core   +1 more source

The woman researcher's tale: A review of bibliometric methods and results for studying gender in science

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 9, Page 1188-1209, September 2025.
Abstract There has been a notable increase in bibliometric research studying gender in academia. This narrative review aims to organize and synthesize this extensive body of work to uncover new insights into gender disparities in science. We begin by analyzing key methodological elements, including gender assignment techniques, units of analysis, and ...
Elvira González‐Salmón   +2 more
wiley   +1 more source

Linked Data, Fragmented Knowledge: Towards a Digital Quellenkritik of Verrius Flaccus’ Lexicon De uerborum significatu

open access: yesJournal of Open Humanities Data
This article explores the potential of Wikidata to support philological research into ancient lexicography, taking as a case study the Latin lexicographer Verrius Flaccus and his text De uerborum significatu (Q42188615).
Stephen Blair
doaj   +1 more source

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

open access: yes, 2018
The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semantic parses that consist of multiple entities and relations.
Gurevych, Iryna, Sorokin, Daniil
core  

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence

open access: yes, 2018
Knowledge graphs (KGs), which could provide essential relational information between entities, have been widely utilized in various knowledge-driven applications.
Lin, Fen   +3 more
core   +1 more source

Mathematics and Wikidata

open access: yes, 2023
A contribution to the DMV 2023 conference, presented on 25 September 2023 in Ilmenau. The original sits at https://m.wikidata.org/wiki/Wikidata:WikiProject_Mathematics/Talks/DMV2023/Mathematics_and_Wikidata . Abstract Wikidata is an open and collaborative database that anyone can edit, which thousands do on a regular basis. Launched a decade ago, FAIR (
openaire   +1 more source

WebProt\'eg\'e: A Cloud-Based Ontology Editor

open access: yes, 2019
We present WebProt\'eg\'e, a tool to develop ontologies represented in the Web Ontology Language (OWL). WebProt\'eg\'e is a cloud-based application that allows users to collaboratively edit OWL ontologies, and it is available for use at https ...
Gonçalves, Rafael S.   +4 more
core   +1 more source

eDNA and Citizen Science Reveal Hidden Fish Biodiversity in Climate‐Stressed Urban Ports of the Mediterranean Sea

open access: yesEnvironmental DNA, Volume 7, Issue 4, July–August 2025.
eDNA and citizen science reveal port biodiversity response. Findings highlight ports as dynamic interfaces between urban and marine ecosystems. Novel indicators reveal shifts across climatic, anthropogenic, ecological contexts. Study sheds light on ecosystem responses to extreme stressors in diverse contexts.
Bénédicte Madon   +9 more
wiley   +1 more source

Queer Religious Representation on Wikidata

open access: yesTheological Librarianship
Queerness defies easy description on knowledge graphs. The fluidity and sensitivity of queer identity is often poorly represented by rigid ontologies with hetero-cis-normative guidelines that do not lend themselves to accurate queer representation ...
Nicholas Gentry
doaj   +1 more source

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

open access: yes, 2018
We present a Few-Shot Relation Classification Dataset (FewRel), consisting of 70, 000 sentences on 100 relations derived from Wikipedia and annotated by crowdworkers.
Han, Xu   +6 more
core   +1 more source

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