Relevant bibliographies by topics / Semantic Annotation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Semantic Annotation'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Semantic Annotation"

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Zenonas, Theodosiou, and Tsapatsoulis Nicolas. "Image annotation: the effects of content, lexicon and annotation method." International Journal of Multimedia Information Retrieval 9 (March 1, 2020): 191–203. https://doi.org/10.1007/s13735-020-00193-z.

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Image annotation is the process of assigning metadata to images, allowing effective retrieval by text-based search techniques. Despite the lots of eorts in automatic multimedia analysis, automatic semantic annotation of multimedia is still inefficient due to the problems in modelling high level semantic terms. In this paper we examine the factors affecting the quality of annotations collected through crowdsourcing platforms. An image dataset was manually annotated utilizing: (i) a vocabulary consists of pre-selected set of keywords,(ii) an hierarchical vocabulary, and (iii) free keywords. The
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Abderrahman, Chekry, Oriche Aziz, and Khaldi Mohamed. "Semantic Annotation of Resources of Distance Learning Based Intelligent Agents." International Journal of Engineering Pedagogy (iJEP) 4, no. 1 (2014): 69. http://dx.doi.org/10.3991/ijep.v4i1.2845.

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This paper presents a system based on intelligent agents for the semantic annotation of learning resources taking into account the context of training. Semantic annotations systems rarely treat existing semantic annotations in the field of distance education (e-learning), most researchers in the field of education limits annotations to specific cases (teacher annotation, learner annotation, annotation of electronic documents etc.) these annotations are edited by users with an annotation tools, by cons in our approach, we propose a semantic annotation system based on intelligent agents that man
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Wang, Shu, and Phillip C. Y. Sheu. "Computational Annotations: SCDL-NL as a Structured Annotation Language." International Journal of Semantic Computing 09, no. 04 (2015): 503–21. http://dx.doi.org/10.1142/s1793351x15500117.

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In this paper, we categorize “semantics” into “taxonomical semantics”, “syntactical semantics” and “formal semantics”. We propose a declarative meta-language SCDL-NL as the foundation of a general annotation language in which “taxonomical and syntactical semantic” information of a sentence can be clearly defined. Since pure natural language is too complicated to be used as a general annotation language, the annotation language imposes some restrictions on the English grammar so that it can be easily translated into SCDL-NL to facilitate information retrieval.
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Kors, Jan A., Simon Clematide, Saber A. Akhondi, Erik M. van Mulligen, and Dietrich Rebholz-Schuhmann. "A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC." Journal of the American Medical Informatics Association 22, no. 5 (2015): 948–56. http://dx.doi.org/10.1093/jamia/ocv037.

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Abstract Objective To create a multilingual gold-standard corpus for biomedical concept recognition. Materials and methods We selected text units from different parallel corpora (Medline abstract titles, drug labels, biomedical patent claims) in English, French, German, Spanish, and Dutch. Three annotators per language independently annotated the biomedical concepts, based on a subset of the Unified Medical Language System and covering a wide range of semantic groups. To reduce the annotation workload, automatically generated preannotations were provided. Individual annotations were automatica
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Wiktorin, Thomas, Daniel Grigutsch, Felix Erdfelder, et al. "Collaborative Semantic Annotation Tooling (CoAT) to Improve Efficiency and Plug-and-Play Semantic Interoperability in the Secondary Use of Medical Data: Concept, Implementation, and First Cross-Institutional Experiences." Applied Sciences 14, no. 2 (2024): 820. http://dx.doi.org/10.3390/app14020820.

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The cross-institutional secondary use of medical data benefits from structured semantic annotation, which ideally enables the matching and merging of semantically related data items from different sources and sites. While numerous medical terminologies and ontologies, as well as some tooling, exist to support such annotation, cross-institutional data usage based on independently annotated datasets is challenging for multiple reasons: the annotation process is resource intensive and requires a combination of medical and technical expertise since it often requires judgment calls to resolve ambig
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Liu, Zheng. "An Efficient Web Image Annotation Ranking Algorithm." Advanced Materials Research 108-111 (May 2010): 81–87. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.81.

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Existing image annotation approaches mainly concentrate on achieving annotation results. Annotation order has not been taken into account carefully. As orderly annotation list could enhance the performance of image retrieval system, it is of great importance to rank annotations. This paper presents an algorithm to rank Web image annotating results. For an annotated Web image, we firstly partition the image by a region growing method. Secondly, relevance degree between two annotations is estimated through considering both semantic similarity and image content. Next, the regions of unlabeled ima
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Li, Tianyi, Ping Wang, Tian Shi, Yali Bian, and Andy Esakia. "Task as Context: A Sensemaking Perspective on Annotating Inter-Dependent Event Attributes with Non-Experts." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11, no. 1 (2023): 78–90. http://dx.doi.org/10.1609/hcomp.v11i1.27550.

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This paper explores the application of sensemaking theory to support non-expert crowds in intricate data annotation tasks. We investigate the influence of procedural context and data context on the annotation quality of novice crowds, defining procedural context as completing multiple related annotation tasks on the same data point, and data context as annotating multiple data points with semantic relevance. We conducted a controlled experiment involving 140 non-expert crowd workers, who generated 1400 event annotations across various procedural and data context levels. Assessments of annotati
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XUE, NIANWEN, and MARTHA PALMER. "Adding semantic roles to the Chinese Treebank." Natural Language Engineering 15, no. 1 (2009): 143–72. http://dx.doi.org/10.1017/s1351324908004865.

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AbstractWe report work on adding semantic role labels to the Chinese Treebank, a corpus already annotated with phrase structures. The work involves locating all verbs and their nominalizations in the corpus, and semi-automatically adding semantic role labels to their arguments, which are constituents in a parse tree. Although the same procedure is followed, different issues arise in the annotation of verbs and nominalized predicates. For verbs, identifying their arguments is generally straightforward given their syntactic structure in the Chinese Treebank as they tend to occupy well-defined sy
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Zakharova, O. V. "Main Aspects of Big Data Semantic Annotation." PROBLEMS IN PROGRAMMING, no. 4 (December 2020): 022–33. http://dx.doi.org/10.15407/pp2020.04.022.

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Semantic annotations, due to their structure, are an in­teg­ral part of the effective solution of big data problems. However, the problem of defining semantic annotations is not trivial. Manual annotation is not acceptable for big data due to their size and heterogeneity, as well as the complexity and cost of the annotation process, the auto­ma­tic annotation task for big data has not yet decision. So, resolving the problem of semantic annotation requires modern mixed approaches, which would be based on and using the existing theoretical apparatus, namely methods and models of machine learning
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Wu, Aihua. "Ranking Biomedical Annotations with Annotator’s Semantic Relevancy." Computational and Mathematical Methods in Medicine 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/258929.

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Biomedical annotation is a common and affective artifact for researchers to discuss, show opinion, and share discoveries. It becomes increasing popular in many online research communities, and implies much useful information. Ranking biomedical annotations is a critical problem for data user to efficiently get information. As the annotator’s knowledge about the annotated entity normally determines quality of the annotations, we evaluate the knowledge, that is, semantic relationship between them, in two ways. The first is extracting relational information from credible websites by mining associ
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Dissertations / Theses on the topic "Semantic Annotation"

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Cardoso, Silvio Domingos. "MAISA - Maintenance of semantic annotations." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS338/document.

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Les annotations sémantiques sont utilisées dans de nombreux domaines comme celui de la santé et servent à différentes tâches notamment la recherche et le partage d’information ou encore l'aide à la décision. Les annotations sont produites en associant à des documents digitaux des labels de concepts provenant des systèmes d’organisation de la connaissance (Knowledge Organization Systems, ou KOS, en anglais) comme les ontologies. Elles permettent alors aux ordinateurs d'interpréter, connecter et d'utiliser de manière automatique de grandes quantités de données. Cependant, la nature dynamique de
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Aydinlilar, Merve. "Semi-automatic Semantic Video Annotation Tool." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613966/index.pdf.

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Semantic annotation of video content is necessary for indexing and retrieval tasks of video management systems. Currently, it is not possible to extract all high-level semantic information from video data automatically. Video annotation tools assist users to generate annotations to represent video data. Generated annotations can also be used for testing and evaluation of content based retrieval systems. In this study, a semi-automatic semantic video annotation tool is presented. Generated annotations are in MPEG-7 metadata format to ensure interoperability. With the help of image processing an
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Wong, Chun Fan. "Automatic semantic image annotation and retrieval." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1188.

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Di, Francescomarino Chiara. "Semantic annotation of business process models." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/367849.

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In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficu
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Di, Francescomarino Chiara. "Semantic annotation of business process models." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/547/1/DiFrancescomarino_Chiara.pdf.

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In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficu
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Reeve, Lawrence H. Han Hyoil. "Semantic annotation and summarization of biomedical text /." Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/1779.

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Ullah, Irfan. "Semantic multimedia modelling & interpretation for annotation." Thesis, Middlesex University, 2011. http://eprints.mdx.ac.uk/9129/.

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The emergence of multimedia enabled devices, particularly the incorporation of cameras in mobile phones, and the accelerated revolutions in the low cost storage devices, boosts the multimedia data production rate drastically. Witnessing such an iniquitousness of digital images and videos, the research community has been projecting the issue of its significant utilization and management. Stored in monumental multimedia corpora, digital data need to be retrieved and organized in an intelligent way, leaning on the rich semantics involved. The utilization of these image and video collections deman
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Felt, Paul L. "Facilitating Corpus Annotation by Improving Annotation Aggregation." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5678.

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Annotated text corpora facilitate the linguistic investigation of language as well as the automation of natural language processing (NLP) tasks. NLP tasks include problems such as spam email detection, grammatical analysis, and identifying mentions of people, places, and events in text. However, constructing high quality annotated corpora can be expensive. Cost can be reduced by employing low-cost internet workers in a practice known as crowdsourcing, but the resulting annotations are often inaccurate, decreasing the usefulness of a corpus. This inaccuracy is typically mitigated by collecting
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Lin, Yun. "Semantic Annotation for Process Models : Facilitating Process Knowledge Management via Semantic Interoperability." Doctoral thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-2119.

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<p>Business process models representing process knowledge about doing business are necessary for designing Information Systems (IS) solutions in enterprises. Interoperability of business process knowledge in legacy systems is crucial for enterprise systems interoperation and integration due to increased enterprise cooperation and business exchange. Many modern technologies and approaches are deployed to support business process interoperability either at the instance level or the protocol level, such as BPML, WSDL and SOAP. However, we argue that a holistic approach is necessary for semantic i
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Sordo, Mohamed. "Semantic annotation of music collections: A computational approach." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/79132.

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El consum de la música ha canviat dràsticament en els últims anys. Amb l’arribada de la música digital, el cost de producció s’ha reduït considerablement. L’expansió de la Web ha ajudat a promoure l’exploració de molt més contingut musical. Algunes botigues musicals on-line, com iTunes o Amazon, posseeixen milions de cançons a les seves col.leccions. No obstant, accedir a aquestes col.leccions d’una manera eficient és encara un gran repte. En aquesta tesis ens centrem en el problema d’anotar col.leccions musicals amb paraules semàntiques, també conegudes com tags. Els mètodes utilitzats
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Books on the topic "Semantic Annotation"

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Siegfried, Handschuh, and Staab Steffen, eds. Annotation for the semantic web. IOS Press, 2003.

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Padó, Sebastian. Cross-lingual annotation projection models for role-semantic information. Saarland University, 2007.

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Ogrodniczuk, Maciej. Coreference: Annotation, resolution and evaluation in Polish. De Gruyter, 2015.

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Brants, Thorsten. Tagging and parsing with cascaded Markov models: Automation of corpus annotation. DFKI, 1999.

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Michael, Götze, ed. Information structure in cross-linguistic corpora: Annotation guidelines for phonology, morphology, syntax, semantics and information structure. Universitätsverlag Potsdam, 2007.

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Gelhausen, Tom. Modellextraktion aus natu rlichen Sprachen: Eine Methode zur systematischen Erstellung von Doma nenmodellen. KIT Scientific Publishing, 2010.

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Jenset, Gard B., and Barbara McGillivray. Historical corpus annotation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198718178.003.0004.

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Chapter 4 explains the concept and process of annotation for historical corpora, from a theoretical, practical, and technical point of view, and discusses the challenges presented by historical texts. We introduce basic terminology for XML technologies and corpus metadata, and we describe the different levels of linguistic annotation, from spelling normalization to morphological, syntactic, and semantic analysis, and briefly present the state of the art for historical corpora and treebanks. We cover annotation schemes and standards and illustrate the main concepts in corpus annotation with an
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Proceedings of the 19th Joint ACL-ISO Workshop on Interoperable Semantic Annotation (ISA-19). Association for Computational Linguistics, 2023.

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Semantic Multimedia 4th International Conference On Semantic And Digital Media Technologies Samt 2009 Graz Austria December 24 2009 Proceedings. Springer, 2010.

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Lee, Kiyong. Annotation-Based Semantics for Space and Time in Language. Cambridge University Press, 2023.

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Book chapters on the topic "Semantic Annotation"

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Bechhofer, Sean, Leslie Carr, Carole Goble, Simon Kampa, and Timothy Miles-Board. "The Semantics of Semantic Annotation." In On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36124-3_73.

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Butler, Alastair. "Treebank Annotation." In Linguistic Expressions and Semantic Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18830-0_4.

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Kostovska, Ana, Sašo Džeroski, and Panče Panov. "Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema." In Discovery Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_10.

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Abstract With the pervasiveness of data mining (DM) in many areas of our society, the management of digital data, readily available for analysis, has become increasingly important. Consequently, nearly all community accepted guidelines and principles (e.g. FAIR and TRUST) for publishing such data in the digital ecosystem, stress the importance of semantic data enhancement. Having rich semantic annotation of DM datasets would support the data mining process at various choice points, such as data understanding, automatic identification of the analysis task, and reasoning over the obtained result
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Baker, Collin, Christiane Fellbaum, and Rebecca J. Passonneau. "Semantic Annotation of MASC." In Handbook of Linguistic Annotation. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-0881-2_25.

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Qi, Xin, and Min Xiao. "Semantic Disambiguation in Automatic Semantic Annotation." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23226-8_18.

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Popov, Borislav, Atanas Kiryakov, Angel Kirilov, Dimitar Manov, Damyan Ognyanoff, and Miroslav Goranov. "KIM – Semantic Annotation Platform." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39718-2_53.

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Weiss, Wolfgang, Tobias Bürger, Robert Villa, P. Punitha, and Wolfgang Halb. "Statement-Based Semantic Annotation of Media Resources." In Semantic Multimedia. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10543-2_7.

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Baker, Collin F. "FrameNet: Frame Semantic Annotation in Practice." In Handbook of Linguistic Annotation. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-0881-2_28.

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Bontcheva, Kalina, Hamish Cunningham, Atanas Kiryakov, and Valentin Tablan. "Semantic Annotation and Human Language Technology." In Semantic Web Technologies. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/047003033x.ch3.

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Llorente, Ainhoa, Enrico Motta, and Stefan Rüger. "Image Annotation Refinement Using Web-Based Keyword Correlation." In Semantic Multimedia. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10543-2_22.

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Conference papers on the topic "Semantic Annotation"

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Yang, Q. Z., Y. Zhang, C. Y. Miao, and Z. Q. Shen. "Semantic Annotation of Digital Engineering Resources for Multidisciplinary Design Collaboration." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49730.

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This paper introduces an ontology-based approach to annotating semantics of digital engineering resources. The aim is to enhance design knowledge sharing through semantic annotation to support streamlined collaboration in multidisciplinary consumer product development. Two issues are focused: how to specify the meaning of annotations with design ontology to ensure sharability of the annotation content; and how to represent annotations in neutral encoding formats to seek mutual understanding of the annotated semantics across multidisciplinary design teams and systems. Two use scenarios of seman
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Sellami, Sana, and Claudia Catalina Gutiérrez Rodríguez. "Semantic annotation." In the fifth workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2390148.2390156.

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Bader, Sebastian, and Jan Oevermann. "Semantic Annotation of Heterogeneous Data Sources." In Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems. ACM, 2017. http://dx.doi.org/10.1145/3132218.3132221.

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Khiat, Abderrahmane, Maximilian Mackeprang, and Claudia Müller-Birn. "Semantic Annotation for Enhancing Collaborative Ideation." In Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems. ACM, 2017. http://dx.doi.org/10.1145/3132218.3132235.

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Zhang, Dabin, Meng Chen, Weiming Huang, Yongshun Gong, and Kai Zhao. "Exploring Urban Semantics: A Multimodal Model for POI Semantic Annotation with Street View Images and Place Names." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/280.

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Semantic annotation for points of interest (POIs) is the process of annotating a POI with a category label, which facilitates many services related to POIs, such as POI search and recommendation. Most of the existing solutions extract features related to POIs from abundant user-generated content data (e.g., check-ins and user comments). However, such data are often difficult to obtain, especially for newly created POIs. In this paper, we aim to explore semantic annotation for POIs with limited information such as POI (place) names and geographic locations. Additionally, we have found that the
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Chang, Nancy, Praveen Paritosh, David Huynh, and Collin Baker. "Scaling Semantic Frame Annotation." In Proceedings of The 9th Linguistic Annotation Workshop. Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/w15-1601.

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Verhagen, Marc, Amber Stubbs, and James Pustejovsky. "Combining independent syntactic and semantic annotation schemes." In the Linguistic Annotation Workshop. Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1642059.1642076.

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Zhang, Dabin, Ronghui Xu, Weiming Huang, Kai Zhao, and Meng Chen. "Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/271.

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Categories of Point of Interest (POI) facilitate location-based services from many aspects like location search and POI recommendation. However, POI categories are often incomplete and new POIs are being consistently generated, this rises the demand for semantic annotation for POIs, i.e., labeling the POI with a semantic category. Previous methods usually model sequential check-in information of users to learn POI features for annotation. However, users' check-ins are hardly obtained in reality, especially for those newly created POIs. In this context, we present a Spatial-Textual POI Annotati
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Campos-Rebelo, Rogerio, Filipe Moutinho, Luis Paiva, and Pedro Malo. "Annotation Rules for XML Schemas with Grouped Semantic Annotations." In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. http://dx.doi.org/10.1109/iecon.2019.8927005.

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Di Donato, Francesca, Christian Morbidoni, Simone Fonda, Alessio Piccioli, Marco Grassi, and Michele Nucci. "Semantic annotation with Pundit." In the 1st International Workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2517978.2517995.

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Reports on the topic "Semantic Annotation"

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Firpo, M. A Novel Approach to Semantic and Coreference Annotation at LLNL. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/15014772.

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Kwon, Christine, and Maggie Wigness. Enhanced Annotation for Semantic Segmentation on Unstructured Video Sequences for Robotic Navigation. DEVCOM Army Research Laboratory, 2021. http://dx.doi.org/10.21236/ad1137228.

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Xu, Chao, Walter Forkel, Stefan Borgwardt, Franz Baader, and Beihai Zhou. Automatic Translation of Clinical Trial Eligibility Criteria into Formal Queries. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.224.

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Selecting patients for clinical trials is very labor-intensive. Our goal is to develop an automated system that can support doctors in this task. This paper describes a major step towards such a system: the automatic translation of clinical trial eligibility criteria from natural language into formal, logic-based queries. First, we develop a semantic annotation process that can capture many types of clinical trial criteria. Then, we map the annotated criteria to the formal query language. We have built a prototype system based on state-of-the-art NLP tools such as Word2Vec, Stanford NLP tools,
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González-Montaña, Luis Antonio. Semantic-based methods for morphological descriptions: An applied example for Neotropical species of genus Lepidocyrtus Bourlet, 1839 (Collembola: Entomobryidae). Verlag der Österreichischen Akademie der Wissenschaften, 2021. http://dx.doi.org/10.1553/biosystecol.1.e71620.

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The production of semantic annotations has gained renewed attention due to the development of anatomical ontologies and the documentation of morphological data. Two methods are proposed in this production, differing in their methodological and philosophical approaches: class-based method and instance-based method. The first, the semantic annotations are established as class expressions, while in the second, the annotations incorporate individuals. An empirical evaluation of the above methods was applied in the morphological description of Neotropical species of the genus Lepidocyrtus (Collembo
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Gordon, Andrew S., and Reid Swanson. Generalizing Semantic Role Annotations Across Syntactically Similar Verbs. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada470421.

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Mbani, Benson, Timm Schoening, and Jens Greinert. Automated and Integrated Seafloor Classification Workflow (AI-SCW). GEOMAR, 2023. http://dx.doi.org/10.3289/sw_2_2023.

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The Automated and Integrated Seafloor Classification Workflow (AI-SCW) is a semi-automated underwater image processing pipeline that has been customized for use in classifying the seafloor into semantic habitat categories. The current implementation has been tested against a sequence of underwater images collected by the Ocean Floor Observation System (OFOS), in the Clarion-Clipperton Zone of the Pacific Ocean. Despite this, the workflow could also be applied to images acquired by other platforms such as an Autonomous Underwater Vehicle (AUV), or Remotely Operated Vehicle (ROV). The modules in
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