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Journal articles on the topic 'Web-based annotation'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Rau, Pei-Luen Patrick, and Sho-Hsen Chen. "A Study of Electronic Annotation on Web Documents." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 5 (2002): 680–84. http://dx.doi.org/10.1177/154193120204600517.

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This study develops an electronic annotation system, allowing users to annotate on hypertexts, to build up knowledge structure, and to browse instructions provided by the system administrator or the instructor electronically. The electronic annotation system is a distributed World Wide Web application based on HTTP access and allows annotations on HTML documents. The major functions of the electronic annotation system include highlighting texts, inserting and editing annotations, and organizing and presenting annotations hierarchically. The five interactive components of the electronic annotat

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Hori, Masahiro, Goh Kondoh, Kouichi Ono, Shin-ichi Hirose, and Sandeep Singhal. "Annotation-based Web content transcoding." Computer Networks 33, no. 1-6 (2000): 197–211. http://dx.doi.org/10.1016/s1389-1286(00)00068-2.

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Jindia, Anjali, and Sonal Chawla. "ANNOTATIONS IN E-LEARNING." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 9 (2014): 3852–59. http://dx.doi.org/10.24297/ijct.v12i9.2825.

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Web-based learning has become an important way to enhance learning and teaching, offering many learning opportunities. A limitation of current Web-based learning is the restricted ability of students to personalize and annotate the learning materials. Providing personalized tools and analyzing some types of learning behavior, such as studentsâ€™ annotation, has attracted attention as a means to enhance Web-based learning. There has been a sharp increase in the volume and quality of electronic publishing on the web in the past few years. Many research journals are going on-line. The advantages

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Aulamo, Mikko, Mathias Creutz, and Eetu Sjöblom. "Annotation of subtitle paraphrases using a new web tool." Digital Humanities in the Nordic and Baltic Countries Publications 2, no. 1 (2019): 33–48. http://dx.doi.org/10.5617/dhnbpub.11021.

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This paper analyzes the manual annotation effort carried out to produce Opusparcus, the Open Subtitles Paraphrase Corpus for six European languages. Within the scope of the project, a new web-based annotation tool was created. We discuss the design choices behind the tool as well as the setup of the annotation task. We also evaluate the annotations obtained. Two independent annotators needed to decide to what extent two sentences approximately meant the same thing. The sentences originate from subtitles from movies and TV shows, which constitutes an interesting genre of mostly colloquial langu

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Mazhoud, Omar, Anis Kalboussi, and Ahmed Hadj Kacem. "Educational Recommender System based on Learner’s Annotative Activity." International Journal of Emerging Technologies in Learning (iJET) 16, no. 10 (2021): 108. http://dx.doi.org/10.3991/ijet.v16i10.19955.

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In recent years, Educational Recommender Systems (ERSs) have attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. These systems play a key role in helping learners to find educational resources relevant and pertinent to their profiles and context. So, it is necessary to identify information that helps learner’s profile definition and in identifying requests and interests. In this context, we suggest to take advantage of the annotation activity used usually in the lear

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Kerui, Chen, Wanli Zuo, Fengling He, Yongheng Chen, and Ying Wang. "Data extraction and annotation based on domain-specific ontology evolution for deep web." Computer Science and Information Systems 8, no. 3 (2011): 673–92. http://dx.doi.org/10.2298/csis101011023k.

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Deep web respond to a user query result records encoded in HTML files. Data extraction and data annotation, which are important for many applications, extracts and annotates the record from the HTML pages. We proposed an domain-specific ontology based data extraction and annotation technique; we first construct mini-ontology for specific domain according to information of query interface and query result pages; then, use constructed mini-ontology for identifying data areas and mapping data annotations in data extraction; in order to adapt to new sample set, mini-ontology will evolve dynamicall

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Valkeapää, Onni, Olli Alm, and Eero Hyvönen. "An Adaptable Framework for Ontology-based Content Creation on the Semantic Web." JUCS - Journal of Universal Computer Science 13, no. (12) (2007): 1835–53. https://doi.org/10.3217/jucs-013-12-1835.

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Creation of rich, ontology-based metadata is one of the major challenges in developing the Semantic Web. Emerging applications utilizing semantic web techniques, such as semantic portals, cannot be realized if there are no proper tools to provide metadata for them. This paper discusses how to make provision of metadata easier and cost-effective by an annotation framework comprising of annotation editor combined with shared ontology services. We have developed an annotation system Saha supporting distributed collaboration in creating annotations, and hiding the complexity of the annotation sche

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Bryan-Kinns, Nick. "Annotating Distributed Scores for Mutual Engagement in Daisyphone and Beyond." Leonardo Music Journal 21 (December 2011): 51–55. http://dx.doi.org/10.1162/lmj_a_00061.

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Written and drawn annotations of musical scores form a core part of the music composition process for both individuals and groups. This article reflects on the annotations made in new forms of distributed music-making wherein the score and its annotations are shared across the web. Four kinds of annotation are identified from 8 years of studies of mutual engagement through distributed music-making systems. It is suggested that new forms of web-based music-making might benefit from shared and persistent graphical annotation mechanisms.

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Rydell, Christopher, and Joakim Lindblad. "CytoBrowser: a browser-based collaborative annotation platform for whole slide images." F1000Research 10 (March 22, 2021): 226. http://dx.doi.org/10.12688/f1000research.51916.1.

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We present CytoBrowser, an open-source (GPLv3) JavaScript and Node.js driven environment for fast and accessible collaborative online visualization, assessment, and annotation of very large microscopy images, including, but not limited to, z-stacks (focus stacks) of cytology or histology whole slide images. CytoBrowser provides a web-based viewer for high-resolution zoomable images and facilitates easy remote collaboration, with options for joint-view visualization and simultaneous collaborative annotation of very large datasets. It delivers a unique combination of functionalities not found in

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Tschöpe, Okka, Lutz Suhrbier, Anton Güntsch, and Walter Berendsohn. "AnnoSys – an online tool for sharing annotations to enhance data quality." Biodiversity Information Science and Standards 1 (August 15, 2017): e20315. https://doi.org/10.3897/tdwgproceedings.1.20315.

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AnnoSys is a web-based open-source information system that enables users to correct and enrich specimen data published in data portals, thus enhancing data quality and documenting research developments over time. This brings the traditional annotation workflows for specimens to the Internet, as annotations become visible to researchers who subsequently observe the annotated specimen. During its first phase, the AnnoSys project developed a fully functional prototype of an annotation data repository for complex and cross-linked XML-standardized data in the ABCD (Access to biological collection d

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Saklofske, Jon. "brat Rapid Annotation Tool. Web-based annotation and visualization tool." Renaissance and Reformation 42, no. 2 (2019): 180–89. http://dx.doi.org/10.7202/1065133ar.

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Islamaj, Rezarta, Dongseop Kwon, Sun Kim, and Zhiyong Lu. "TeamTat: a collaborative text annotation tool." Nucleic Acids Research 48, W1 (2020): W5—W11. http://dx.doi.org/10.1093/nar/gkaa333.

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Abstract Manually annotated data is key to developing text-mining and information-extraction algorithms. However, human annotation requires considerable time, effort and expertise. Given the rapid growth of biomedical literature, it is paramount to build tools that facilitate speed and maintain expert quality. While existing text annotation tools may provide user-friendly interfaces to domain experts, limited support is available for figure display, project management, and multi-user team annotation. In response, we developed TeamTat (https://www.teamtat.org), a web-based annotation tool (loca

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Lee, Eduardo, Gregg A. Helt, Justin T. Reese, et al. "Web Apollo: a web-based genomic annotation editing platform." Genome Biology 14, no. 8 (2013): R93. http://dx.doi.org/10.1186/gb-2013-14-8-r93.

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Ulate, William, and M. Marcela Mora. "Assessment of Annotation Needs of Botanists." Biodiversity Information Science and Standards 4 (October 6, 2020): e59308. https://doi.org/10.3897/biss.4.59308.

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Annotation (i.e., making comments on a resource) is an important part of the vision for the Semantic Web as defined by the standards set by the World Wide Web Consortium (W3C). Its goal is to make Internet-published information and data, machine-readable to better utilize it. Despite the important role that annotation plays in the Semantic Web, many cultural heritage institutions have been slow to adopt it. The access to open historical biological literature hosted in digital libraries, like the Biodiversity Heritage Library (BHL), has improved the efficiency of biodiversity research, especial

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Chen, Yen-Chen, Yun-Ching Chen, Wen-Dar Lin, Chung-Der Hsiao, Hung-Wen Chiu, and Jan-Ming Ho. "Bio301: A Web-Based EST Annotation Pipeline That Facilitates Functional Comparison Studies." ISRN Bioinformatics 2012 (November 22, 2012): 1–5. http://dx.doi.org/10.5402/2012/139842.

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In this postgenomic era, a huge volume of information derived from expressed sequence tags (ESTs) has been constructed for functional description of gene expression profiles. Comparative studies have become more and more important to researchers of biology. In order to facilitate these comparative studies, we have constructed a user-friendly EST annotation pipeline with comparison tools on an integrated EST service website, Bio301. Bio301 includes regular EST preprocessing, BLAST similarity search, gene ontology (GO) annotation, statistics reporting, a graphical GO browsing interface, and micr

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Jaspe-Villanueva, Alberto, Moonisa Ahsan, Ruggero Pintus, Andrea Giachetti, Fabio Marton, and Enrico Gobbetti. "Web-based Exploration of Annotated Multi-Layered Relightable Image Models." Journal on Computing and Cultural Heritage 14, no. 2 (2021): 1–29. http://dx.doi.org/10.1145/3430846.

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We introduce a novel approach for exploring image-based shape and material models registered with structured descriptive information fused in multi-scale overlays. We represent the objects of interest as a series of registered layers of image-based shape and material data. These layers are represented at different scales and can come out of a variety of pipelines. These layers can include both Reflectance Transformation Imaging representations, and spatially varying normal and Bidirectional Reflectance Distribution Function fields, possibly as a result of fusing multi-spectral data. An overlay

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Saravanan, Vijayakumar, and Primanayagam Shanmughavel. "An automated protein annotation filter for integrating web-based annotation tools." Bioinformation 2, no. 2 (2007): 76–77. http://dx.doi.org/10.6026/97320630002076.

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YUAN, Liu. "Ontology-Based Annotation for Deep Web Data." Journal of Software 19, no. 2 (2008): 237–45. http://dx.doi.org/10.3724/sp.j.1001.2008.00237.

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Yamamoto, Daisuke, and Katashi Nagao. "Web-based Video Annotation and its Applications." Transactions of the Japanese Society for Artificial Intelligence 20 (2005): 67–75. http://dx.doi.org/10.1527/tjsai.20.67.

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Ke, Xiao, Shaozi Li, and Guolong Chen. "Real web community based automatic image annotation." Computers & Electrical Engineering 39, no. 3 (2013): 945–56. http://dx.doi.org/10.1016/j.compeleceng.2012.09.017.

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Duan, Daoyu, Sijia He, Emina Huang, Ziyi Li, and Hao Feng. "NeuCA web server: a neural network-based cell annotation tool with web-app and GUI." Bioinformatics 38, no. 8 (2022): 2361–63. http://dx.doi.org/10.1093/bioinformatics/btac108.

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Abstract Summary Correctly annotating individual cell’s type is an important initial step in single-cell RNA sequencing (scRNA-seq) data analysis. Here, we present NeuCA web server, a neural network-based scRNA-seq cell annotation tool with web-app portal and graphical user interface, for automatically assigning cell labels. NeuCA algorithm is accurate and exhaustive, maximizing the usage of measured cells for downstream analysis. NeuCA web server provides over 20 ready-to-use pre-trained classifiers for commonly used tissue types. As the first web-app tool with neural-network infrastructure i

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Suhrbier, Lutz, Okka Tschöpe, Anton Güntsch, and Walter G. Berendsohn. "AnnoSys - future developments." Biodiversity Information Science and Standards 1 (August 15, 2017): e20317. https://doi.org/10.3897/tdwgproceedings.1.20317.

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AnnoSys (Tschöpe et al. 2013, Suhrbier et al. 2017) is a web-based open-source system for correcting and enriching biodiversity data in publicly available data portals. Users are enabled to annotate specimen data, and these annotations become visible to researchers who subsequently observe the annotated specimen. The AnnoSys search and subscription capabilities make it possible to access or receive notification of annotations of records and even records of duplicate specimens accessed in different portals. In its current second project phase, the project's technical infrastructure opens from a

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Öhman, Emily, and Kaisla Kajava. "Sentimentator." Digital Humanities in the Nordic and Baltic Countries Publications 1, no. 1 (2018): 98–110. http://dx.doi.org/10.5617/dhnbpub.11013.

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We introduce Sentimentator; a publicly available gamified web-based annotation platform for fine-grained sentiment annotation at the sentence-level. Sentimentator is unique in that it moves beyond binary classification. We use a ten-dimensional model which allows for the annotation of 51 unique sentiments and emotions. The platform is gamified with a complex scoring system designed to reward users for high quality annotations. Sentimentator introduces several unique features that have previously not been available, or at best very limited, for sentiment annotation. In particular, it provides s

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Sánchez, David, David Isern, and Miquel Millan. "Content annotation for the semantic web: an automatic web-based approach." Knowledge and Information Systems 27, no. 3 (2010): 393–418. http://dx.doi.org/10.1007/s10115-010-0302-3.

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Karimzadeh, Morteza, and Alan MacEachren. "GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text Corpora." ISPRS International Journal of Geo-Information 8, no. 4 (2019): 161. http://dx.doi.org/10.3390/ijgi8040161.

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Ground-truth datasets are essential for the training and evaluation of any automated algorithm. As such, gold-standard annotated corpora underlie most advances in natural language processing (NLP). However, only a few relatively small (geo-)annotated datasets are available for geoparsing, i.e., the automatic recognition and geolocation of place references in unstructured text. The creation of geoparsing corpora that include both the recognition of place names in text and matching of those names to toponyms in a geographic gazetteer (a process we call geo-annotation), is a laborious, time-consu

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Lee, Kye Hwa, Hyunsung Lee, Jin-Hyeok Park, Yi-Jun Kim, and Youngho Lee. "ANNO: A General Annotation Tool for Bilingual Clinical Note Information Extraction." Healthcare Informatics Research 28, no. 1 (2022): 89–94. http://dx.doi.org/10.4258/hir.2022.28.1.89.

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Objectives: This study was conducted to develop a generalizable annotation tool for bilingual complex clinical text annotation, which led to the design and development of a clinical text annotation tool, ANNO.Methods: We designed ANNO to enable human annotators to support the annotation of information in clinical documents efficiently and accurately. First, annotations for different classes (word or phrase types) can be tagged according to the type of word using the dictionary function. In addition, it is possible to evaluate and reconcile differences by comparing annotation results between hu

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Yueh, Hsiu-Ping, Ya-Ting Teng, Weijane Lin, Yu-Ching Wang, and Chiu-Fan Hu. "Web-Based Annotation Learning System: Construction and Application." Creative Education 03, no. 08 (2012): 1297–300. http://dx.doi.org/10.4236/ce.2012.38189.

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Jiang, Xia, and Yingming Li. "Web Service Matching Based on Natural Semantic Annotation." Information Technology Journal 12, no. 4 (2013): 857–61. http://dx.doi.org/10.3923/itj.2013.857.861.

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Yamamoto, Daisuke, Tomoki Masuda, Shigeki Ohira, and Katashi Nagao. "Video Scene Annotation Based on Web Social Activities." IEEE Multimedia 15, no. 3 (2008): 22–32. http://dx.doi.org/10.1109/mmul.2008.67.

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LEE, Daesang, Hwajung SEO, Chankyu PARK, and Kiejung PARK. "WeGAS: A Web-Based Microbial Genome Annotation System." Bioscience, Biotechnology, and Biochemistry 73, no. 1 (2009): 213–16. http://dx.doi.org/10.1271/bbb.80567.

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Azouaou, Faiçal, Hakim Mokeddem, Lamia Berkani, Abdelaziz Ouadah, and Belkacem Mostefai. "WebAnnot: a learner's dedicated web-based annotation tool." International Journal of Technology Enhanced Learning 5, no. 1 (2013): 56. http://dx.doi.org/10.1504/ijtel.2013.055949.

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Hemmerich, Chris, Aaron Buechlein, Ram Podicheti, Kashi V. Revanna, and Qunfeng Dong. "An Ergatis-based prokaryotic genome annotation web server." Bioinformatics 26, no. 8 (2010): 1122–24. http://dx.doi.org/10.1093/bioinformatics/btq090.

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Wang, Qishan, Hongbo Zhao, and Yuchun Pan. "SNPknow: a web server for functional annotation of cattle SNP markers." Canadian Journal of Animal Science 91, no. 2 (2011): 247–53. http://dx.doi.org/10.4141/cjas2010-032.

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Wang, Q., Zhao, H. and Pan, Y. 2011. SNPknow: a web server for functional annotation of cattle SNP markers. Can. J. Anim. Sci. 91: 247–253. Single nucleotide polymorphisms (SNP) microarray technology provides new insights to identify the genetic factors associated with the traits of interest. To meet the immediate need for a framework of genome-wide association study (GWAS), we have developed SNPknow, a suite of CGI-based tools that provide enrichment analysis and functional annotation for cattle SNP markers and allow the users to navigate and analysis large sets of high-dimensional data from

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Stefanics, Daniela, and Markus Fox. "COCO Annotator." ACM SIGMultimedia Records 13, no. 3 (2021): 1. http://dx.doi.org/10.1145/3578495.3578502.

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COCO Annotator is an image annotation tool that allows the labelling of images to create training data for object detection and localization. It provides many features, including the ability to label an image segment by drawing, label objects with disconnected visible parts, efficiently store and export annotations in the well-known COCO format as well as importing existing publicly available datasets in COCO format. Once installed, or started with Docker, the interface is web-based and customizable, and provides different tools for creating datasets. The exported annotations can be used for t

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Lux, Mathias, Werner Klieber, Jutta Becker, et al. "XML and MPEG-7 for Interactive Annotation and Retrieval using Semantic Meta-data." JUCS - Journal of Universal Computer Science 8, no. (10) (2002): 965–84. https://doi.org/10.3217/jucs-008-10-0965.

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The evolution of the Web is not only accompanied by an increasing diversity of multimedia but by new requirements towards intelligent research capabilities, user specific assistance, intuitive user interfaces and platform independent information presentation. To reach these and further upcoming requirements new standardized Web technologies and XML based description languages are used. The Web Information Space has transformed into a Knowledge marketplace where worldwide located participants take part into the creation, annotation and consumption of knowledge. This paper points out the design

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Barz, Michael, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, et al. "eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification." Journal of Eye Movement Research 18, no. 4 (2025): 27. https://doi.org/10.3390/jemr18040027.

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Mobile eye tracking is an important tool in psychology and human-centered interaction design for understanding how people process visual scenes and user interfaces. However, analyzing recordings from head-mounted eye trackers, which typically include an egocentric video of the scene and a gaze signal, is a time-consuming and largely manual process. To address this challenge, we develop eyeNotate, a web-based annotation tool that enables semi-automatic data annotation and learns to improve from corrective user feedback. Users can manually map fixation events to areas of interest (AOIs) in a vid

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S.Keerthivarshini*, Prof. . Janarthanan. "INFERENCE OF PRIVACY POLICY FOR USER-UPLOADED IMAGES ON CONTENT SHARING SOCIAL SITES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 30–35. https://doi.org/10.5281/zenodo.56889.

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Increasingly developed social sharing websites, like Flickr and YouTube, allow users to create, share, annotate and comment Medias. The large-scale user-generated meta-data not only facilitate users in sharing and organizing multimedia content, but provide useful information to improve media retrieval and management. Personalized search serves as one of such examples where the web search experience is improved by generating the returned list according to the modified user search intents. In this paper, we exploit the social annotations and propose a novel framework simultaneously considering t

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Park, Yeon-Ji, Min-a. Lee, Geun-Je Yang, Soo Jun Park, and Chae-Bong Sohn. "Biomedical Text NER Tagging Tool with Web Interface for Generating BERT-Based Fine-Tuning Dataset." Applied Sciences 12, no. 23 (2022): 12012. http://dx.doi.org/10.3390/app122312012.

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In this paper, a tagging tool is developed to streamline the process of locating tags for each term and manually selecting the target term. It directly extracts the terms to be tagged from sentences and displays it to the user. It also increases tagging efficiency by allowing users to reflect candidate categories in untagged terms. It is based on annotations automatically generated using machine learning. Subsequently, this architecture is fine-tuned using Bidirectional Encoder Representations from Transformers (BERT) to enable the tagging of terms that cannot be captured using Named-Entity Re

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Dijkema, Tom, and Sam Leeflang. "DiSSCover the Potential of FAIR Digital Object Annotations and How You Can Use Them!" Biodiversity Information Science and Standards 8 (August 7, 2024): e133172. https://doi.org/10.3897/biss.8.133172.

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The infrastructure for the Distributed System of Scientific Collections (DiSSCo) is in full development. Work within the DiSSCo Transition Project has been focused on building infrastructure, creating data models, and setting up Application Programming Interfaces (APIs) (Koureas et al. 2024). In the past years, DiSSCo has presented this work at different Biodiversity Information Standards (TDWG) conferences (Leeflang and Addink 2023, Leeflang et al. 2022, Addink et al. 2021). In this year's session, we would like to focus on the human-facing application: DiSSCover.DiSSCover is the graphical us

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Cornwell, Peter. "Progress with Repository-based Annotation Infrastructure for Biodiversity Applications." Biodiversity Information Science and Standards 7 (September 14, 2023): e112707. https://doi.org/10.3897/biss.7.112707.

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Rapid development since the 1980s of technologies for analysing texts, has led not only to widespread employment of text 'mining', but also to now-pervasive large language model artificial intelligence (AI) applications. However, building new, concise, data resources from historic, as well as contemporary scientific literature, which can be employed efficiently at scale by automation and which have long-term value for the research community, has proved more elusive.Efforts at codifying analyses, such as the Text Encoding Initiative (TEI), date from the early 1990s and were initially driven by

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Asswad, Mohammad Mourhaf AL, Sergio de Cesare, and Mark Lycett. "A Query-based Approach for Semi-Automatic Annotation of Web Services." International Journal of Information Systems and Social Change 2, no. 2 (2011): 37–54. http://dx.doi.org/10.4018/jissc.2011040103.

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Semantic Web services (SWS) have attracted increasing attention due to their potential to automate discovery and composition of current syntactic Web services. An issue that prevents a wider adoption of SWS relates to the manual nature of the semantic annotation task. Manual annotation is a difficult, error-prone, and time-consuming process and automating the process is highly desirable. Though some approaches have been proposed to semi-automate the annotation task, they are difficult to use and cannot perform accurate annotation for the following reasons: (1) They require building application

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Kashoob, Said, James Caverlee, and Ying Ding. "A Categorical Model for Discovering Latent Structure in Social Annotations." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (2009): 82–89. http://dx.doi.org/10.1609/icwsm.v3i1.13943.

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The advent of social tagging systems has enabled a new community-based view of the Web in which objects like images, videos, and Web pages are annotated by thousands of users. Understanding the emergent semantics inherent in the socially-generated collection of annotations has important research implications for information discovery and knowledge sharing. To this end, we propose a novel probabilistic generative model for discovering latent structure in large-scale social annotations. The generative model identifies latent community-based ``categories'' of interest that can be used to group se

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Fu, Ju Chun. "An Approach of Image Semantic Automatic Tagging Based on SVM." Applied Mechanics and Materials 530-531 (February 2014): 382–85. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.382.

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To find the need of images from Internet is a heavy work, image annotation techniques can be used to help us quickly find the required images, the traditional image annotation method can't between the image and text classification, cannot achieve most web users demand, this paper proposes an image semantic annotation technology automatically, based on the SVM technology. The first we map image visual feature to one or more images of rough concept by using annotation, then we preprocess web page text information, lastly, we selected high similarity of keywords as image annotation. From the expe

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Saklofske, Jon. "Pyysalo, Sampo, project lead. brat Rapid Annotation Tool. Web-based annotation and visualization tool." Renaissance and Reformation 42, no. 2 (2019): 180–89. http://dx.doi.org/10.33137/rr.v42i2.32993.

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Belhajjame, Khalid, Suzanne M. Embury, Norman W. Paton, Robert Stevens, and Carole A. Goble. "Automatic annotation of Web services based on workflow definitions." ACM Transactions on the Web 2, no. 2 (2008): 1–34. http://dx.doi.org/10.1145/1346337.1346239.

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Nalini, Ponnuru, and M. Mohana Deepthi. "Tag Based Relational Web Annotation Approach For Decision Making." International Journal of Computer & Organization Trends 15, no. 1 (2014): 29–34. http://dx.doi.org/10.14445/22492593/ijcot-v15p306.

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Wang, Xin-Jing, Lei Zhang, and Wei-Ying Ma. "Duplicate-Search-Based Image Annotation Using Web-Scale Data." Proceedings of the IEEE 100, no. 9 (2012): 2705–21. http://dx.doi.org/10.1109/jproc.2012.2193109.

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Rajput, Quratulain. "Ontology based Semantic Annotation of Urdu Language Web Documents." Procedia Computer Science 35 (2014): 662–70. http://dx.doi.org/10.1016/j.procs.2014.08.148.

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Wei, Liu, Lin Can, and Meng Xiaofeng. "Web database query interface annotation based on user collaboration." Wuhan University Journal of Natural Sciences 11, no. 5 (2006): 1403–6. http://dx.doi.org/10.1007/bf02829275.

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Hwang, Wu-Yuin, Chin-Yu Wang, and Mike Sharples. "A study of multimedia annotation of Web-based materials." Computers & Education 48, no. 4 (2007): 680–99. http://dx.doi.org/10.1016/j.compedu.2005.04.020.

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