8,660 research outputs found

    GeoQAMap - Geographic Question Answering with Maps Leveraging LLM and Open Knowledge Base (Short Paper)

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    GeoQA (Geographic Question Answering) is an emerging research field in GIScience, aimed at answering geographic questions in natural language. However, developing systems that seamlessly integrate structured geospatial data with unstructured natural language queries remains challenging. Recent advancements in Large Language Models (LLMs) have facilitated the application of natural language processing in various tasks. To achieve this goal, this study introduces GeoQAMap, a system that first translates natural language questions into SPARQL queries, then retrieves geospatial information from Wikidata, and finally generates interactive maps as visual answers. The system exhibits great potential for integration with other geospatial data sources such as OpenStreetMap and CityGML, enabling complicated geographic question answering involving further spatial operations

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    Author Correction: A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities

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    Correction to: Scientific Data, published online 04 December 2023 In this article the author name Jingtao Ding was incorrectly written as Jintao Ding. The original article has been corrected.</p

    Ding: the life of Jay Norwood Darling

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    This is the bibliographic record of the book entitled Ding: the Life of Jay Norwood Darling that is in the NCTC Conservation Library collection. Bibliographic record: Personal Author: Lendt, David L. Title: Ding : the life of Jay Norwood Darling Edition: Iowa heritage collection ed. Publication info: Ames : Iowa State University Press, 1989, c1979. xi, 204 p., [60] p. of plates :NC ill. ; 22 cm. Series Title: (Iowa heritage collection

    La dynamique de l´Art Ding Nzumguba Ibio

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    nuloO trabalho trata de manifestações artísticas entre os Ding do Zaire, propondo contribuir para a tomada de consciência da natureza da arte negro-africana em geral através do caso particular desse complexo cultural. Situando o meio natural e social onde aflora a arte Ding, o autor realça o caráter de múltiplos significados de que se reveste, como proposta funcional, simbólica, mágico-religiosa e estética. Abordando vários aspectos da arte Ding (arquitetura, tecelagem, "poterie", escultura) o autor realça o papel do artista que, ao trabalhar com um fenômeno que não se configura como "arte pela arte", aparece essencialmente como símbolo da unidade, da concórdia e da paz comunitária.The Project examines the artistic manifestations among those of Ding of Zaire, proposing to talk the natural conscience of Black-African Art general through a particular case of this cultural complex. Citing a way natural and social where emerges the Ding Art, the author emphasizes the character of multiple meanings in with it has, like functional proposal, symbolic, magic religious, aesthetics. Examining various aspects of Ding Art (architecture, textile, ‘potterie’, sculpture) the author emphasizes the role of the artist who, to work a phenomena which doesn’t form itself “art of arts”, essentially appears like a symbol of unity, compromise and community peace

    PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations

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    Recent efforts in biomolecular event extraction have mainly focused on core event types involving genes and proteins, such as gene expression, protein-protein interactions, and protein catabolism. The BioNLP’11 Shared Task extended the event extraction approach to sub-protein events and relations in the Epigenetics and Post-translational Modifications (EPI) and Protein Relations (REL) tasks. In this study, we apply the Turku Event Extraction System, the best-performing system for these tasks, to all PubMed abstracts and all available PMC full-text articles, extracting 1.4M EPI events and 2.2M REL relations from 21M abstracts and 372K articles. We introduce several entity normalization algorithms for genes, proteins, protein complexes and protein components, aiming to uniquely identify these biological entities. This normalization effort allows direct mapping of the extracted events and relations with posttranslational modifications from UniProt, epigenetics from PubMeth, functional domains from InterPro and macromolecular structures from PDB. The extraction of such detailed protein information provides a unique text mining dataset, offering the opportunity to further deepen the information provided by existing PubMed-scale event extraction efforts. The methods and data introduced in this study are freely available from bionlp.utu.f

    You ke tie jing: Liu juan. v.1

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    夏鼎著.框18x13公分, 9行24字, 小字雙行同, 左右雙邊, 單黑魚尾, 版心上鐫書名, 中鐫卷次, 下鐫頁次."光緒二十二季春八月廣雅書局校刊"--內封面背頁.On double leaves, oriental style.Xia Ding zhu.Kuang 18x13 gong fen, 9 hang 24 zi, xiao zi shuang hang tong, zuo you shuang bian, dan hei yu wei, ban xin shang juan shu ming, zhong juan juan ci, xia juan ye ci."Guangxu er shi er ji chun ba yue Guang ya shu ju jiao kan"--Nei feng mian bei ye
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