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Data-driven design and innovation is a process to reuse and provide valuable and useful information. However, existing semantic networks for design innovation is built on data source restricted to technological and scientific information.…

Computation and Language · Computer Science 2022-11-22 Haoyu Zuo , Qianzhi Jing , Tianqi Song , Huiting Liu , Lingyun Sun , Peter Childs , Liuqing Chen

The limited size of existing query-focused summarization datasets renders training data-driven summarization models challenging. Meanwhile, the manual construction of a query-focused summarization corpus is costly and time-consuming. In…

Computation and Language · Computer Science 2022-07-25 Haichao Zhu , Li Dong , Furu Wei , Bing Qin , Ting Liu

Wikidata is a knowledge graph increasingly adopted by many communities for diverse applications. Wikidata statements are annotated with qualifier-value pairs that are used to depict information, such as the validity context of the…

Artificial Intelligence · Computer Science 2023-06-22 Sahar Aljalbout , Gilles Falquet , Didier Buchs

Large language models excel in question-answering (QA) yet still struggle with multi-hop reasoning and temporal questions. Query-based knowledge graph QA (KGQA) offers a modular alternative by generating executable queries instead of direct…

Computation and Language · Computer Science 2025-07-17 Artem Alekseev , Mikhail Chaichuk , Miron Butko , Alexander Panchenko , Elena Tutubalina , Oleg Somov

This paper introduces the L-ReLF (Low-Resource Lexical Framework), a novel, reproducible methodology for creating high-quality, structured lexical datasets for underserved languages. The lack of standardized terminology, exemplified by…

Computation and Language · Computer Science 2026-04-01 Anass Sedrati , Mounir Afifi , Reda Benkhadra

This paper begins the discussion of how the Information Flow Framework can be used to provide a principled foundation for the metalevel (or structural level) of the Standard Upper Ontology (SUO). This SUO structural level can be used as a…

Logic in Computer Science · Computer Science 2011-09-05 Robert E. Kent

The Resource Description Framework (RDF) is continuing to grow outside the bounds of its initial function as a metadata framework and into the domain of general-purpose data modeling. This expansion has been facilitated by the continued…

Artificial Intelligence · Computer Science 2008-07-25 Marko A. Rodriguez

Many numerical simulation tools have been developed and are on the market, but there is still a strong need for appropriate tools capable of simulating multi-field problems, especially in aeroacoustics. Therefore, openCFS provides an…

Computational Engineering, Finance, and Science · Computer Science 2026-01-12 Andreas Wurzinger , Patrick Heidegger , Stefan Schoder

Wikidata is a frequently updated, community-driven, and multilingual knowledge graph. Hence, Wikidata is an attractive basis for Entity Linking, which is evident by the recent increase in published papers. This survey focuses on four…

Computation and Language · Computer Science 2021-12-06 Cedric Möller , Jens Lehmann , Ricardo Usbeck

NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorization methods, initialization approaches, and quality scoring.…

Machine Learning · Computer Science 2018-08-07 Marinka Zitnik , Blaz Zupan

Cloud platforms allow users to execute tasks directly from their web browser and are a key enabling technology not only for commerce but also for computational science. Research software is often developed by scientists with limited…

With the development of deep learning and natural language processing techniques, pre-trained language models have been widely used to solve information retrieval (IR) problems. Benefiting from the pre-training and fine-tuning paradigm,…

Information Retrieval · Computer Science 2024-01-02 Weihang Su , Qingyao Ai , Xiangsheng Li , Jia Chen , Yiqun Liu , Xiaolong Wu , Shengluan Hou

The factuality of large language model (LLMs) tends to decay over time since events posterior to their training are "unknown" to them. One way to keep models up-to-date could be factual update: the task of inserting, replacing, or removing…

Computation and Language · Computer Science 2024-03-22 Hichem Ammar Khodja , Frédéric Béchet , Quentin Brabant , Alexis Nasr , Gwénolé Lecorvé

Multi-modality image fusion (MMIF) combines complementary information from different image modalities to provide a comprehensive and objective interpretation of scenes. However, existing fusion methods cannot resist different weather…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Xilai Li , Wuyang Liu , Xiaosong Li , Fuqiang Zhou , Huafeng Li , Feiping Nie

Federations of RDF data sources provide great potential when queried for answers and insights that cannot be obtained from one data source alone. A challenge for planning the execution of queries over such a federation is that the…

Databases · Computer Science 2020-10-06 Sijin Cheng , Olaf Hartig

Most state-of-the-art deep domain adaptation techniques align source and target samples in a global fashion. That is, after alignment, each source sample is expected to become similar to any target sample. However, global alignment may not…

Machine Learning · Computer Science 2023-08-22 Liyue Chen , Linian Wang , Jinyu Xu , Shuai Chen , Weiqiang Wang , Wenbiao Zhao , Qiyu Li , Leye Wang

WorkingWiki is a software extension for the popular MediaWiki platform that makes a wiki into a powerful environment for collaborating on publication-quality manuscripts and software projects. Developed in Jonathan Dushoff's theoretical…

Human-Computer Interaction · Computer Science 2012-12-11 Lee Worden

We have developed an application for studying heavy ion fusion barrier characteristics such as such as fusion barrier heights ($V_B$), positions ($R_B$) and curvature of the inverted parabola ($\hbar\omega$). We call this application as…

Nuclear Theory · Physics 2025-06-18 H. C. Manjunatha , P. S. Damodara Gupta , N. Sowmya , K. N. Sridhar

Large language models (LLMs) have demonstrated human-level performance on a vast spectrum of natural language tasks. However, it is largely unexplored whether they can better internalize knowledge from a structured data, such as a knowledge…

Computation and Language · Computer Science 2022-05-18 Fedor Moiseev , Zhe Dong , Enrique Alfonseca , Martin Jaggi