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Islands and Bridges of Language: Bio-Inspired Structural Analysis of Language Embedding Data
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i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry
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In: ISSN: 0166-3615 ; Computers in Industry ; https://hal.archives-ouvertes.fr/hal-03330584 ; Computers in Industry, Elsevier, 2021, 132, pp.103527. ⟨10.1016/j.compind.2021.103527⟩ (2021)
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Event Related Document Retrieval with Multilingual Real World Event Representation
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In: 20th International Semantic Web Conference ; https://hal.archives-ouvertes.fr/hal-03415957 ; 20th International Semantic Web Conference, Oct 2021, Online, France ; https://iswc2021.semanticweb.org/ (2021)
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Neural models for the representation and matching of geotextual objects ; Modèles neuronaux pour la représentation et l'appariement d'objets géotextuels
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In: https://tel.archives-ouvertes.fr/tel-02979573 ; Interface homme-machine [cs.HC]. Université Paul Sabatier - Toulouse III, 2020. Français. ⟨NNT : 2020TOU30042⟩ (2020)
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Bilingual Dataset for Information Retrieval and Question Answering over the Spanish Workers Statute ...
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Bilingual Dataset for Information Retrieval and Question Answering over the Spanish Workers Statute ...
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Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ...
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Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20) ...
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Generating partial civil information model views using a semantic information retrieval approach
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In: Industrial and Manufacturing Systems Engineering Publications (2020)
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Abstract:
Open data standards (e.g. LandXML, TransXML, CityGML) are a key to addressing the interoperability issue in exchanging civil information modeling (CIM) data throughout the project life-cycle. Since these schemas include rich sets of data types covering a wide range of assets and disciplines, model view definitions (MVDs) which define subsets of a schema are required to specify what types of data to be shared in accordance with a specific exchange scenario. The traditional procedure for generating and implementing MVDs is time-consuming and laborious as entities and attributes relevant to a particular data exchange context are manually identified by domain experts. This paper presents a method that can locate relevant information from a source XML data schema for a specific domain based on the user's keyword. The study employs a semantic resource of civil engineering terms to understand the semantics of a keyword-based query. The study also introduces a novel context-based search technique for retrieving related entities and their referenced objects. The developed method was tested on a gold standard of several LandXML subschemas. The experiment results show that the semantic MVD retrieval algorithm achieves a mean average precision of nearly 90%. The research is original, being a novel method for extracting partial civil information models given a keyword from the end user. The method is expected to become a fundamental tool assisting professionals in extracting data from complex digital datasets.
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Keyword:
Applied Linguistics; Civil Engineering Lexicon; Civil Information Modeling; Computational Linguistics; Context-Aware; Information Retrieval; Model View Definition; Operational Research; Other Civil and Environmental Engineering
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URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1230&context=imse_pubs https://lib.dr.iastate.edu/imse_pubs/229
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Multilinguale Herausforderungen in der Sacherschließung ...
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Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand" ...
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Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand"
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Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library
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In: Library Philosophy and Practice (e-journal) (2020)
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Sentiment Independent Topic Detection in Rated Hospital Reviews
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Enhancing Search Query Understanding with Deep Learning
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Han, Xuefei. - : University of Alberta. Department of Electrical and Computer Engineering., 2019
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Contextual citation recommendation using scientific discourse annotation schemes
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HAWAIIAN MORPHEMES: IDENTIFICATION, USAGE, AND APPLICATION IN INFORMATION RETRIEVAL
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