280:
reflect on their own basic assumptions. Annotations can take part within the video, and can be used when the data video is recorded. It is being used as a tool in text and film to write one's thoughts and emotion into the markings. In any number of steps of analysis, it can also be supplemented with more annotations. Anthropologists
Clifford Geertz calls it a "thick description." This can give a sense of how useful annotation is, especially by adding a description of how it can be implemented in film.
120:
32:
352:
the assignment of typological representations (culturally meaningful categories), to topological representations (e.g. images). This is especially important when experts, such as medical doctors, interpret visualizations in detail and explain their interpretations to others, for example by means of digital technology. Here, annotation can be a way to establish
343:(symbols and formulae) can be annotated with their natural language meaning. This is essential for disambiguation, since symbols may have different meanings (e.g., "E" can be "energy" or "expectation value", etc.). The annotation process can be facilitated and accelerated through recommendation, e.g., using the "AnnoMathTeX" system that is hosted by Wikimedia.
73:
714:. DNA annotation or genome annotation is the process of identifying the locations of genes and all of the coding regions in a genome and determining what those genes do. An annotation (irrespective of the context) is a note added by way of explanation or commentary. Once a genome is sequenced, it needs to be annotated to make sense of it.
356:
between interactants with different levels of knowledge. The value of annotation has been empirically confirmed, for example, in a study which shows that in computer-based teleconsultations the integration of image annotation and speech leads to significantly improved knowledge exchange compared with
351:
From a cognitive perspective, annotation has an important role in learning and instruction. As part of guided noticing it involves highlighting, naming or labelling and commenting aspects of visual representations to help focus learners' attention on specific visual aspects. In other words, it means
288:
Marginalia refers to writing or decoration in the margins of a manuscript. Medieval marginalia is so well known that amusing or disconcerting instances of it are fodder for viral aggregators such as
Buzzfeed and Brainpickings, and the fascination with other readers’ reading is manifest in sites such
635:
changes to the source code into the repository. This outputs a copy of the source code where each line is annotated with the name of the last contributor to edit that line (and possibly a revision number). This can help establish blame in the event a change caused a malfunction, or identify the
553:
This is the most common task in semantic labelling. Given a text of a cell and a data source, the approach predicts the entity and link it to the one identified in the given data source. For example, if the input to the approach were the text "Richard
Feynman" and a URL to the SPARQL endpoint of
331:
Students use
Annotation not only for academic purposes, but interpreting their own thoughts, feelings, and emotions. Sites such as Scalar and Omeka are sites that students use. There are multiple genres with Annotation such as math, film, linguists, and literary theory which students find it most
809:
identified in an annotation editor. The annotation scheme ensures that the tags are added consistently across the data set and allows for verification of previously tagged data. Aside from tags, more complex forms of linguistic annotation include the annotation of phrases and relations, e.g., in
808:
One purpose of annotation is to transform the data into a form suitable for computer-aided analysis. Prior to annotation, an annotation scheme is defined that typically consists of tags. During tagging, transcriptionists manually add tags into transcripts where required linguistical features are
279:
Text and Film
Annotation is a technique that involves using comments, text within a film. Analyzing videos is an undertaking that is never entirely free of preconceived notions, and the first step for researchers is to find their bearings within the field of possible research approaches and thus
270:
Annotation
Practices are highlighting a phrase or sentence and including a comment, circling a word that needs defining, posing a question when something is not fully understood and writing a short summary of a key section. It also invites students to "(re)construct a history through material
499:
to compute the weights. Venetis et al. construct an isA database which consists of the pairs (instance, class) and then compute maximum likelihood using these pairs. Alobaid and Corcho approximated the q-q plot for predicting the properties of numeric columns.
271:
engagement and exciting DIY (Do-It-Yourself) annotation practices." Annotation practices that are available today offer a remarkable set of tools for students to begin to work, and in a more collaborative, connected way than has been previously possible.
508:
Syed et al. built
Wikitology, which is "a hybrid knowledge base of structured and unstructured information extracted from Knowledge (XXG) augmented by RDF data from DBpedia and other Linked Data resources." For the Wikitology index, they use
2402:
Ramnandan, S.K.; Mittal, Amol; Knoblock, Craig A.; Szekely, Pedro (2015). "Assigning
Semantic Labels to Data Sources". In Gandon, Fabien; Sabou, Marta; Sack, Harald; d’Amato, Claudia; Cudré-Mauroux, Philippe; Zimmermann, Antoine (eds.).
429:
to tabular data. This process is also referred to as semantic annotation. Semantic
Labelling is often done in a (semi-)automatic fashion. Semantic Labelling techniques work on entity columns, numeric columns, coordinates, and more.
813:. Many different forms of linguistic annotation have been developed, as well as different formats and tools for creating and managing linguistic annotations, as described, for example, in the Linguistic Annotation Wiki.
569:
The subject column of a table is the column that contain the main subjects/entities in the table. Some approaches expects the subject column as an input while others predict the subject column such as TableMiner+.
606:
T2D is the most common gold standard for semantic labelling. Two versions exists of T2D: T2Dv1 (sometimes are referred to T2D as well) and T2Dv2. Another known benchmarks are published with the SemTab
Challenge.
537:). The classes are then gathered and each one of them is scored based on several formulas they presented taking into account the frequency of each class and their depth according to the subClass hierarchy.
438:
There are several semantic labelling types which utilises machine learning techniques. These techniques can be categorised following the work of Flach as follows: geometric (using lines and planes, such as
400:
annotate text in a way that is syntactically distinguishable from that text. They can be used to add information about the desired visual presentation, or machine-readable semantic information, as in the
369:
after around a decade of service. They had allowed users to provide information that popped up during videos, but YouTube indicated they did not work well on small mobile screens, and were being abused.
289:
as Melville's Marginalia Online or Harvard's online exhibit of marginalia from six personal libraries. It can also be a part of other websites such as Pinterest, or even meme generators and GIF tools.
533:
Alobaid and Corcho presented an approach to annotate entity columns. The technique starts by annotating the cells in the entity column with the entities from the reference knowledge graph (e.g.,
598:. Venetis et al. use TextRunner to extract the relation between two columns. Syed et al. use the relation between the entities of the two columns and the most frequent relation is selected.
578:
Columns types are divided differently by different approaches. Some divide them into strings/text and numbers while others divide them further (e.g., Number Typology, Date, coordinates).
1814:
306:
is a discipline that often uses the technique of annotation to describe or add additional historical context to texts and physical documents to make it easier to understand.
455:), and Non-ML techniques (e.g., balancing coverage and specificity). Note that the geometric, probabilistic, and logical machine learning models are not mutually exclusive.
1342:
Philipp Scharpf; Moritz Schubotz; Bela Gipp (14 April 2021). "Fast Linking of Mathematical Wikidata Entities in Knowledge (XXG) Articles Using Annotation Recommendation".
2595:
882:, a symbol used on ancient manuscripts to mark passages that were suspected of being corrupted or spurious; the practice of adding such marginal notes became known as
1398:
Pea, R.D. (2006). "Video-as-Data and Digital Video Manipulation Techniques for Transforming Learning Sciences Research, Education, and Other Cultural Practices".
982:"Training disciplinary genre awareness through blended learning: An exploration into EAP students' perceptions of online annotation of genres across disciplines"
332:
helpful to use. Most students reported the annotation process as helpful for improving overall writing ability, grammar, and academic vocabulary knowledge.
94:
81:
517:, which is one of the tasks often used in semantic labelling. Since they were not able to query Google for all Knowledge (XXG) articles to get the
2641:
328:
add commentary on the relevance or quality of each source, in addition to the usual bibliographic information that merely identifies the source.
2821:
2422:
2339:
2065:
1993:
1899:
1857:
1737:
1496:
1420:
1153:
1080:
667:
318:
passages in books in order to actively engage with the text. Students can use annotations to refer back to key phrases easily, or add
2048:. In Groth, Paul; Simperl, Elena; Gray, Alasdair; Sabou, Marta; Krötzsch, Markus; Lecue, Freddy; Flöck, Fabian; Gil, Yolanda (eds.).
1840:. In Groth, Paul; Simperl, Elena; Gray, Alasdair; Sabou, Marta; Krötzsch, Markus; Lecue, Freddy; Flöck, Fabian; Gil, Yolanda (eds.).
2472:
1947:
1374:
1318:
1118:
221:
203:
59:
1216:
Moritz Schubotz; Philipp Scharpf; et al. (12 September 2018). "Introducing MathQA: a Math-Aware question answering system".
1171:"The function of annotations in the comprehension of scientific texts: Cognitive load effects and the impact of verbal ability"
2190:
Venetis, Petros; Halevy, Alon; Madhavan, Jayant; PaĹźca, Marius; Shen, Warren; Wu, Fei; Miao, Gengxin; Wu, Chung (2011-06-01).
658:
in the source code. Classes, methods, variables, parameters and packages may be annotated. The annotations can be embedded in
1563:
141:
1514:"Smartphones as multimodal communication devices to facilitate clinical knowledge processes — a randomized controlled trial"
242:
or other piece of information. It can be a note that includes a comment or explanation. Annotations are sometimes presented
257:
Five types of annotation are given LIDAR annotation, Image annotation, Text annotation, Video annotation, Audio annotation
1975:
184:
2372:
472:
156:
651:
137:
45:
2804:
Wyner, Adam; Peters, Wim; Katz, Daniel (2013). "A Case Study on Legal Case Annotation". In Ashley, Kevin D. (ed.).
828:
679:
353:
558:", which is the entity from DBpedia. Some approaches use exact match. while others use similarity metrics such as
163:
130:
86:
2326:, Lecture Notes in Computer Science, vol. 10024, Cham: Springer International Publishing, pp. 163–179,
1592:
1399:
2808:. Frontiers in Artificial Intelligence and Applications. Vol. 259. Amsterdam: IOS Press. pp. 165–174.
2407:. Lecture Notes in Computer Science. Vol. 9088. Cham: Springer International Publishing. pp. 403–417.
2052:. Lecture Notes in Computer Science. Vol. 9981. Cham: Springer International Publishing. pp. 446–462.
1844:. Lecture Notes in Computer Science. Vol. 9981. Cham: Springer International Publishing. pp. 428–445.
2837:
1724:. Lecture Notes in Computer Science. Vol. 11313. Cham: Springer International Publishing. pp. 19–33.
889:
843:
833:
448:
2239:"Linear approximation of the quantile–quantile plot for semantic labelling of numeric columns in tabular data"
340:
170:
20:
624:
496:
452:
440:
414:
325:
2320:
Ermilov, Ivan; Ngomo, Axel-Cyrille Ngonga (2016), "TAIPAN: Automatic Property Mapping for Tabular Data",
670:
behaviour of an application. It is possible to create meta-annotations out of the existing ones in Java.
2739:"Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks"
152:
2633:
1815:"Understanding a large corpus of web tables through matching with knowledge bases: an empirical study"
1767:
1297:
421:. The process of assigning semantic annotations to tabular data is referred to as semantic labelling.
2750:
2687:
1343:
663:
1021:"Becoming Entangled: An Analysis of 5th Grade Students Collaborative Multimodal Composing Practices"
1813:
Hassanzadeh, O.; Ward, Michael J.; Rodriguez-Muro, Mariano; Srinivas, Kavitha (December 17, 2015).
659:
303:
2893:
2549:
2478:
2428:
2345:
2238:
2219:
2165:
2071:
2045:
1953:
1905:
1837:
1818:
1795:
1691:
1673:
1642:
1380:
1352:
1324:
1243:
1225:
1198:
1124:
1001:
981:
859:
823:
783:
746:
939:
322:
to aid studying and finding connections between the text and prior knowledge or running themes.
2713:
2817:
2786:
2768:
2589:
2541:
2468:
2418:
2335:
2211:
2157:
2061:
1989:
1943:
1895:
1853:
1787:
1733:
1622:
1545:
1492:
1467:
1416:
1370:
1314:
1190:
1149:
1114:
1076:
1040:
703:
628:
559:
444:
2888:
2809:
2776:
2758:
2695:
2678:
Zhang, D.; Islam, M.M.; Lu, G. (2012). "A review on automatic image annotation techniques".
2637:
2533:
2460:
2408:
2384:
2327:
2250:
2203:
2149:
2053:
2023:
1981:
1935:
1887:
1845:
1779:
1725:
1683:
1634:
1535:
1525:
1457:
1449:
1408:
1362:
1306:
1235:
1182:
1143:
1106:
1068:
1032:
993:
894:
838:
632:
476:
2571:
1720:. In Faron Zucker, Catherine; Ghidini, Chiara; Napoli, Amedeo; Toussaint, Yannick (eds.).
1660:
Taheriyan, Mohsen; Knoblock, Craig A.; Szekely, Pedro; Ambite, José Luis (March 1, 2016).
909:
803:
742:
723:
685:
645:
492:
418:
389:
384:
298:
251:
51:
1932:
Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics
1267:. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018).
2754:
2691:
1886:. SIGMOD '13. New York, NY, USA: Association for Computing Machinery. pp. 145–156.
177:
2781:
2738:
1836:
Neumaier, Sebastian; Umbrich, JĂĽrgen; Parreira, Josiane Xavier; Polleres, Axel (2016).
1540:
1513:
1462:
1437:
919:
914:
904:
791:
779:
726:
community the term annotation is commonly used for visible metadata superimposed on an
711:
707:
697:
620:
616:
514:
247:
2451:
980:
Crosthwaite, Peter; Sanhueza, Alicia Gazmuri; Schweinberger, Martin (September 2021).
2882:
2553:
1957:
1799:
1646:
1384:
1328:
1128:
1005:
727:
522:
464:
2349:
2223:
2075:
1909:
1247:
1202:
2482:
2432:
2169:
1695:
1020:
767:
402:
2813:
2321:
1822:
1036:
545:
Here are some of the common semantic labelling tasks presented in the literature:
2763:
2699:
2609:
2520:
Etzioni, Oren; Banko, Michele; Soderland, Stephen; Weld, Daniel S. (2008-12-01).
2453:
Proceedings of the 16th International Conference on Extending Database Technology
2413:
2331:
2057:
1884:
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
1849:
1783:
1687:
1486:
1412:
2665:"Characterizing the Usage, Evolution and Impact of Java Annotations in Practice"
2663:
Characterizing the Usage, Evolution and Impact of Java Annotations in Practice.
1729:
1453:
771:
731:
315:
119:
2254:
1661:
997:
555:
488:
468:
2296:
2278:
2027:
1768:"Balancing coverage and specificity for semantic labelling of subject columns"
1170:
864:
426:
319:
243:
2772:
2664:
2545:
2447:
2215:
2207:
2161:
2153:
2138:"Annotating and searching web tables using entities, types and relationships"
1985:
1791:
1239:
1194:
1044:
2537:
2464:
1939:
1891:
1366:
1310:
899:
874:
854:
735:
2790:
2191:
2137:
2111:
1977:
Machine Learning: The Art and Science of Algorithms that Make Sense of Data
1549:
1471:
1262:
1100:
72:
2521:
1927:
1879:
1296:- a formula identifier annotation recommender system for STEM documents".
1148:. Garland Reference Library of the Humanities. Vol. 1417. Routledge.
1110:
594:
is "capitalOf". Such relations can easily be found in ontologies, such as
2496:
2373:"Effective and efficient Semantic Table Interpretation using TableMiner+"
1588:
1062:
869:
849:
810:
775:
655:
518:
510:
239:
1072:
1186:
957:
883:
595:
534:
366:
2388:
2277:
Syed, Zareen; Finin, Tim; Mulwad, Varish; Joshi, Anupam (2010-04-26).
1926:
Ritze, Dominique; Lehmberg, Oliver; Bizer, Christian (July 13, 2015).
1638:
1530:
2089:
2044:
Pham, Minh; Alse, Suresh; Knoblock, Craig A.; Szekely, Pedro (2016).
1292:
Philipp Scharpf; Ian Mackerracher; et al. (17 September 2019). "
879:
787:
587:
2610:"Semantic Web Challenge on Tabular Data to Knowledge Graph Matching"
2136:
Limaye, Girija; Sarawagi, Sunita; Chakrabarti, Soumen (2010-09-01).
615:
The "annotate" function (also known as "blame" or "praise") used in
2865:
2737:
Pelka, Obioma; Nensa, Felix; Friedrich, Christoph M. (2018-11-12).
1678:
1621:
Alobaid, Ahmad; Kacprzak, Emilia; Corcho, Oscar (January 1, 2021).
1357:
1264:
Representing Mathematical Formulae in Content MathML using Wikidata
1230:
750:
591:
1666:
Web Semantics: Science, Services and Agents on the World Wide Web
1278:
2371:
Zhang, Ziqi (2017-08-07). Hitzler, Pascal; Cruz, Isabel (eds.).
397:
1718:"Fuzzy Semantic Labeling of Semi-structured Numerical Datasets"
1169:
Wallen, Erik; Plass, Jan L.; BrĂĽnken, Roland (September 2005).
734:, virtual laser pointers, circles, arrows, and black-outs (cf.
654:, where annotations can be used as a special form of syntactic
1279:"AnnoMathTeX Formula/Identifier Annotation Recommender System"
393:
113:
66:
25:
1299:
Proceedings of the 13th ACM Conference on Recommender Systems
238:
is extra information associated with a particular point in a
2279:"Exploiting a Web of Semantic Data for Interpreting Tables"
2017:
1401:
The International Handbook of Virtual Learning Environments
1717:
1623:"Typology-based semantic labeling of numeric tabular data"
684:
Automatic image annotation is used to classify images for
1512:
Pimmer, C.; Mateescu, M.; Zahn, C.; Genewein, U. (2013).
1102:
Filming, Researching, Annotating: Research Video Handbook
1061:
Dougherty, Jack; O'Donnell, Tennyson, eds. (2015-04-21).
1564:"YouTube annotations will disappear for good in January"
786:
and state statutes are subject to interpretation by the
2022:(phd thesis). E.T.S. de Ingenieros Informáticos (UPM).
2019:
Knowledge-Graph-Based Semantic Labeling of Tabular Data
730:
without changing the underlying master image, such as
1934:. Association for Computing Machinery. pp. 1–6.
782:
that have interpreted the statutes. Both the federal
662:
generated by the compiler and may be retained by the
2570:
Bizer, Dominique Ritze, Oliver Lehmberg, Christian.
1838:"Multi-level Semantic Labelling of Numerical Values"
2459:. New York, New York, USA: ACM Press. p. 693.
1662:"Learning the semantics of structured data sources"
790:, and the annotated statutes are valuable tools in
745:community, an annotation is often referred to as a
365:Annotations were removed on January 15, 2019, from
144:. Unsourced material may be challenged and removed.
2046:"Semantic Labeling: A Domain-Independent Approach"
1878:Zhang, Meihui; Chakrabarti, Kaushik (2013-06-22).
1099:Lösel, Gunter; Zimper, Martin, eds. (2021-05-26).
246:. For annotations of different digital media, see
2405:The Semantic Web. Latest Advances and New Domains
357:the use of images and speech without annotation.
2283:Proceedings of the Second Web Science Conference
1345:Companion Proceedings of the Web Conference 2021
1261:Scharpf, P.; Schubotz, M.; et al. (2018).
1175:Educational Technology Research and Development
766:In the United States, legal publishers such as
2323:Knowledge Engineering and Knowledge Management
2116:, Ontology Engineering Group (UPM), 2022-12-12
2094:, Ontology Engineering Group (UPM), 2022-01-29
1722:Knowledge Engineering and Knowledge Management
2446:Quercini, Gianluca; Reynaud, Chantal (2013).
475:for the numeric ones. Alobaid and Corcho use
425:is the process of assigning annotations from
8:
2594:: CS1 maint: multiple names: authors list (
2237:Alobaid, Ahmad; Corcho, Oscar (March 2024).
1766:Alobaid, Ahmad; Corcho, Oscar (2022-03-15).
804:Text annotation § Linguistic annotation
261:Literature, grammar and educational purposes
2448:"Entity discovery and annotation in tables"
2192:"Recovering semantics of tables on the web"
556:http://dbpedia.org/resource/Richard_Feynman
60:Learn how and when to remove these messages
2522:"Open information extraction from the web"
1224:(4). Emerald Publishing Limited: 214–224.
2780:
2762:
2714:"Medical Definition of Genome annotation"
2412:
1980:. Cambridge: Cambridge University Press.
1677:
1616:
1614:
1612:
1610:
1539:
1529:
1461:
1356:
1229:
222:Learn how and when to remove this message
204:Learn how and when to remove this message
2634:"JDK 5.0 Developer's Guide: Annotations"
1711:
1709:
1707:
1705:
986:Journal of English for Academic Purposes
97:of all important aspects of the article.
2806:Legal Knowledge and Information Systems
1873:
1871:
1869:
1142:Greetham, David C. (28 October 2015) .
931:
19:For the Knowledge (XXG) help page, see
16:Item of metadata attached to a document
2587:
1761:
1759:
1757:
1755:
1753:
1751:
1749:
1716:Alobaid, Ahmad; Corcho, Oscar (2018).
93:Please consider expanding the lead to
2565:
2563:
2366:
2364:
2297:"OWL Web Ontology Language Reference"
2272:
2270:
2268:
2266:
2264:
2185:
2183:
2181:
2179:
2131:
2129:
2039:
2037:
2011:
2009:
2007:
2005:
1969:
1967:
1921:
1919:
1094:
1092:
1056:
1054:
975:
973:
971:
7:
1518:Journal of Medical Internet Research
1145:Textual Scholarship: An Introduction
554:DBpedia, the approach would return "
479:(c-means) to label numeric columns.
142:adding citations to reliable sources
1218:Information Discovery and Delivery
336:Mathematical expression annotation
14:
2644:from the original on 6 March 2008
2196:Proceedings of the VLDB Endowment
2142:Proceedings of the VLDB Endowment
1928:"Matching HTML Tables to DBpedia"
1649:– via content.iospress.com.
549:Entity linking and disambiguation
41:This article has multiple issues.
2243:Expert Systems with Applications
1960:– via ACM Digital Library.
1067:. University of Michigan Press.
471:similarity for textual data and
118:
71:
30:
940:"Definition of Data Annotation"
541:Semantic labelling common tasks
129:needs additional citations for
85:may be too short to adequately
49:or discuss these issues on the
2845:General Annotation Conventions
1491:. Cambridge University Press.
1407:. Springer. pp. 1321–93.
778:, providing information about
774:publish annotated versions of
95:provide an accessible overview
1:
2814:10.3233/978-1-61499-359-9-165
1037:10.1016/j.compcom.2017.12.008
565:Subject column identification
434:Semantic labelling techniques
2838:"Annotation Schemes | CAWSE"
2764:10.1371/journal.pone.0206229
2700:10.1016/j.patcog.2011.05.013
2414:10.1007/978-3-319-18818-8_25
2332:10.1007/978-3-319-49004-5_11
2058:10.1007/978-3-319-46523-4_27
2050:The Semantic Web – ISWC 2016
1850:10.1007/978-3-319-46523-4_26
1842:The Semantic Web – ISWC 2016
1784:10.1016/j.knosys.2021.108092
1688:10.1016/j.websem.2015.12.003
1413:10.1007/978-1-4020-3803-7_55
1019:Jocius, Robin (March 2018).
1730:10.1007/978-3-030-03667-6_2
1589:"Web Annotation Data Model"
1454:10.1136/amiajnl-2012-001520
244:in the margin of book pages
2912:
2572:"Web Data Commons - T2Dv2"
2255:10.1016/j.eswa.2023.122152
2016:Alobaid, Ahmad (c. 2020).
1485:Clark, Herbert H. (1996).
998:10.1016/j.jeap.2021.101021
958:"Types of Data Annotation"
829:Automatic image annotation
801:
710:have created the need for
695:
680:Automatic image annotation
677:
643:
636:author of brilliant code.
574:Column data-type detection
382:
296:
18:
2526:Communications of the ACM
2028:10.20868/upm.thesis.64068
1593:World Wide Web Consortium
1025:Computers and Composition
652:Java programming language
2870:annotation.exmaralda.org
2208:10.14778/2002938.2002939
2154:10.14778/1920841.1921005
1986:10.1017/cbo9780511973000
1240:10.1108/IDD-06-2018-0022
834:Coding (social sciences)
483:Probabilistic techniques
449:Conditional random field
447:), probabilistic (e.g.,
374:Software and engineering
347:Learning and instruction
341:Mathematical expressions
326:Annotated bibliographies
275:Text and film annotation
2538:10.1145/1409360.1409378
2465:10.1145/2452376.2452457
1940:10.1145/2797115.2797118
1892:10.1145/2463676.2465276
1772:Knowledge-Based Systems
1698:– via March 2016.
1367:10.1145/3442442.3452348
1311:10.1145/3298689.3347042
666:and thus influence the
473:Kolmogorov–Smirnov test
2866:"LinguisticAnnotation"
1438:"Communication spaces"
650:A special case is the
625:Team Foundation Server
497:support-vector machine
453:Decision tree learning
441:Support-vector machine
2091:Fuzzy c-Means Library
1974:Flach, Peter (2012).
1442:J Am Med Inform Assoc
1111:10.1515/9783035623079
692:Computational biology
586:The relation between
664:Java virtual machine
459:Geometric techniques
138:improve this article
2755:2018PLoSO..1306229P
2692:2012PatRe..45..346Z
2680:Pattern Recognition
2497:"About: capital of"
1436:Coiera, E. (2014).
1073:10.2307/j.ctv65sxgk
582:Relation prediction
525:to approximate it.
487:Limaye et al. uses
304:Textual scholarship
293:Textual scholarship
284:Medieval marginalia
266:Practising visually
2576:webdatacommons.org
2148:(1–2): 1338–1347.
1595:. 11 December 2014
1351:. pp. 602–9.
1305:. pp. 532–3.
1187:10.1007/BF02504798
860:Index (publishing)
824:Abstract (summary)
784:United States Code
749:and is encoded in
747:region of interest
504:Logical techniques
451:), logical (e.g.,
423:Semantic Labelling
2823:978-1-61499-359-9
2424:978-3-319-18818-8
2389:10.3233/SW-160242
2341:978-3-319-49003-8
2067:978-3-319-46523-4
1995:978-1-107-09639-4
1901:978-1-4503-2037-5
1859:978-3-319-46523-4
1739:978-3-030-03667-6
1639:10.3233/SW-200397
1531:10.2196/jmir.2758
1498:978-0-521-56745-9
1422:978-1-4020-3803-7
1155:978-1-136-75579-8
1082:978-0-472-90012-1
946:. 17 August 2023.
704:molecular biology
702:Since the 1980s,
560:Cosine similarity
529:Non-ML techniques
445:Linear regression
232:
231:
224:
214:
213:
206:
188:
112:
111:
64:
2901:
2874:
2873:
2862:
2856:
2855:
2853:
2852:
2842:
2834:
2828:
2827:
2801:
2795:
2794:
2784:
2766:
2749:(11): e0206229.
2734:
2728:
2727:
2725:
2724:
2710:
2704:
2703:
2675:
2669:
2668:
2660:
2654:
2652:
2650:
2649:
2638:Sun Microsystems
2630:
2624:
2623:
2621:
2620:
2606:
2600:
2599:
2593:
2585:
2583:
2582:
2567:
2558:
2557:
2517:
2511:
2510:
2508:
2507:
2493:
2487:
2486:
2458:
2443:
2437:
2436:
2416:
2399:
2393:
2392:
2368:
2359:
2358:
2357:
2356:
2317:
2311:
2310:
2308:
2307:
2293:
2287:
2286:
2274:
2259:
2258:
2234:
2228:
2227:
2187:
2174:
2173:
2133:
2124:
2123:
2122:
2121:
2108:
2102:
2101:
2100:
2099:
2086:
2080:
2079:
2041:
2032:
2031:
2013:
2000:
1999:
1971:
1962:
1961:
1923:
1914:
1913:
1875:
1864:
1863:
1833:
1827:
1826:
1810:
1804:
1803:
1763:
1744:
1743:
1713:
1700:
1699:
1681:
1657:
1651:
1650:
1618:
1605:
1604:
1602:
1600:
1585:
1579:
1578:
1576:
1575:
1560:
1554:
1553:
1543:
1533:
1509:
1503:
1502:
1482:
1476:
1475:
1465:
1433:
1427:
1426:
1406:
1395:
1389:
1388:
1360:
1350:
1339:
1333:
1332:
1304:
1289:
1283:
1282:
1275:
1269:
1268:
1258:
1252:
1251:
1233:
1213:
1207:
1206:
1166:
1160:
1159:
1139:
1133:
1132:
1096:
1087:
1086:
1058:
1049:
1048:
1016:
1010:
1009:
977:
966:
965:
964:. 30 March 2024.
954:
948:
947:
936:
895:Subject indexing
839:Drama annotation
674:Image annotation
640:Java annotations
619:systems such as
495:. They also use
493:graphical models
477:fuzzy clustering
463:Pham et al. use
390:Markup languages
227:
220:
209:
202:
198:
195:
189:
187:
146:
122:
114:
107:
104:
98:
75:
67:
56:
34:
33:
26:
2911:
2910:
2904:
2903:
2902:
2900:
2899:
2898:
2879:
2878:
2877:
2864:
2863:
2859:
2850:
2848:
2840:
2836:
2835:
2831:
2824:
2803:
2802:
2798:
2736:
2735:
2731:
2722:
2720:
2712:
2711:
2707:
2677:
2676:
2672:
2662:
2661:
2657:
2647:
2645:
2632:
2631:
2627:
2618:
2616:
2614:www.cs.ox.ac.uk
2608:
2607:
2603:
2586:
2580:
2578:
2569:
2568:
2561:
2519:
2518:
2514:
2505:
2503:
2495:
2494:
2490:
2475:
2456:
2445:
2444:
2440:
2425:
2401:
2400:
2396:
2370:
2369:
2362:
2354:
2352:
2342:
2319:
2318:
2314:
2305:
2303:
2295:
2294:
2290:
2276:
2275:
2262:
2236:
2235:
2231:
2189:
2188:
2177:
2135:
2134:
2127:
2119:
2117:
2110:
2109:
2105:
2097:
2095:
2088:
2087:
2083:
2068:
2043:
2042:
2035:
2015:
2014:
2003:
1996:
1973:
1972:
1965:
1950:
1925:
1924:
1917:
1902:
1877:
1876:
1867:
1860:
1835:
1834:
1830:
1812:
1811:
1807:
1765:
1764:
1747:
1740:
1715:
1714:
1703:
1659:
1658:
1654:
1620:
1619:
1608:
1598:
1596:
1587:
1586:
1582:
1573:
1571:
1562:
1561:
1557:
1511:
1510:
1506:
1499:
1484:
1483:
1479:
1435:
1434:
1430:
1423:
1404:
1397:
1396:
1392:
1377:
1348:
1341:
1340:
1336:
1321:
1302:
1291:
1290:
1286:
1277:
1276:
1272:
1260:
1259:
1255:
1215:
1214:
1210:
1168:
1167:
1163:
1156:
1141:
1140:
1136:
1121:
1098:
1097:
1090:
1083:
1060:
1059:
1052:
1018:
1017:
1013:
979:
978:
969:
956:
955:
951:
938:
937:
933:
929:
924:
910:Text annotation
819:
806:
800:
764:
759:
743:medical imaging
724:digital imaging
720:
718:Digital imaging
700:
694:
686:image retrieval
682:
676:
648:
646:Java annotation
642:
631:determines who
613:
604:
584:
576:
567:
551:
543:
531:
506:
491:similarity and
485:
461:
436:
411:
387:
385:Text annotation
381:
376:
363:
349:
338:
314:Students often
312:
301:
299:Text annotation
295:
286:
277:
268:
263:
252:text annotation
228:
217:
216:
215:
210:
199:
193:
190:
147:
145:
135:
123:
108:
102:
99:
92:
80:This article's
76:
35:
31:
24:
17:
12:
11:
5:
2909:
2908:
2905:
2897:
2896:
2891:
2881:
2880:
2876:
2875:
2857:
2829:
2822:
2796:
2729:
2705:
2686:(1): 346–362.
2670:
2655:
2640:. 2007-12-18.
2625:
2601:
2559:
2512:
2488:
2473:
2438:
2423:
2394:
2383:(6): 921–957.
2360:
2340:
2312:
2288:
2260:
2229:
2202:(9): 528–538.
2175:
2125:
2103:
2081:
2066:
2033:
2001:
1994:
1963:
1948:
1915:
1900:
1865:
1858:
1828:
1805:
1745:
1738:
1701:
1672:(C): 152–169.
1652:
1606:
1580:
1555:
1504:
1497:
1488:Using Language
1477:
1448:(3): 414–422.
1428:
1421:
1390:
1375:
1334:
1319:
1284:
1270:
1253:
1208:
1161:
1154:
1134:
1119:
1088:
1081:
1050:
1011:
967:
949:
930:
928:
925:
923:
922:
920:XPS annotation
917:
915:Web annotation
912:
907:
905:Tag (metadata)
902:
897:
892:
890:PDF annotation
887:
877:
872:
867:
862:
857:
852:
847:
841:
836:
831:
826:
820:
818:
815:
802:Main article:
799:
796:
792:legal research
763:
760:
758:
755:
719:
716:
712:DNA annotation
708:bioinformatics
698:DNA annotation
696:Main article:
693:
690:
678:Main article:
675:
672:
644:Main article:
641:
638:
617:source control
612:
611:Source control
609:
603:
602:Gold standards
600:
583:
580:
575:
572:
566:
563:
550:
547:
542:
539:
530:
527:
515:Entity linking
505:
502:
484:
481:
460:
457:
435:
432:
413:This includes
410:
407:
383:Main article:
380:
379:Text documents
377:
375:
372:
362:
359:
348:
345:
337:
334:
311:
308:
297:Main article:
294:
291:
285:
282:
276:
273:
267:
264:
262:
259:
248:web annotation
230:
229:
212:
211:
126:
124:
117:
110:
109:
89:the key points
79:
77:
70:
65:
39:
38:
36:
29:
15:
13:
10:
9:
6:
4:
3:
2:
2907:
2906:
2895:
2892:
2890:
2887:
2886:
2884:
2871:
2867:
2861:
2858:
2846:
2839:
2833:
2830:
2825:
2819:
2815:
2811:
2807:
2800:
2797:
2792:
2788:
2783:
2778:
2774:
2770:
2765:
2760:
2756:
2752:
2748:
2744:
2740:
2733:
2730:
2719:
2715:
2709:
2706:
2701:
2697:
2693:
2689:
2685:
2681:
2674:
2671:
2666:
2659:
2656:
2643:
2639:
2635:
2629:
2626:
2615:
2611:
2605:
2602:
2597:
2591:
2577:
2573:
2566:
2564:
2560:
2555:
2551:
2547:
2543:
2539:
2535:
2532:(12): 68–74.
2531:
2527:
2523:
2516:
2513:
2502:
2498:
2492:
2489:
2484:
2480:
2476:
2474:9781450315975
2470:
2466:
2462:
2455:
2454:
2449:
2442:
2439:
2434:
2430:
2426:
2420:
2415:
2410:
2406:
2398:
2395:
2390:
2386:
2382:
2378:
2374:
2367:
2365:
2361:
2351:
2347:
2343:
2337:
2333:
2329:
2325:
2324:
2316:
2313:
2302:
2298:
2292:
2289:
2284:
2280:
2273:
2271:
2269:
2267:
2265:
2261:
2256:
2252:
2248:
2244:
2240:
2233:
2230:
2225:
2221:
2217:
2213:
2209:
2205:
2201:
2197:
2193:
2186:
2184:
2182:
2180:
2176:
2171:
2167:
2163:
2159:
2155:
2151:
2147:
2143:
2139:
2132:
2130:
2126:
2115:
2114:
2113:fuzzy-c-means
2107:
2104:
2093:
2092:
2085:
2082:
2077:
2073:
2069:
2063:
2059:
2055:
2051:
2047:
2040:
2038:
2034:
2029:
2025:
2021:
2020:
2012:
2010:
2008:
2006:
2002:
1997:
1991:
1987:
1983:
1979:
1978:
1970:
1968:
1964:
1959:
1955:
1951:
1949:9781450332934
1945:
1941:
1937:
1933:
1929:
1922:
1920:
1916:
1911:
1907:
1903:
1897:
1893:
1889:
1885:
1881:
1880:"InfoGather+"
1874:
1872:
1870:
1866:
1861:
1855:
1851:
1847:
1843:
1839:
1832:
1829:
1824:
1820:
1816:
1809:
1806:
1801:
1797:
1793:
1789:
1785:
1781:
1777:
1773:
1769:
1762:
1760:
1758:
1756:
1754:
1752:
1750:
1746:
1741:
1735:
1731:
1727:
1723:
1719:
1712:
1710:
1708:
1706:
1702:
1697:
1693:
1689:
1685:
1680:
1675:
1671:
1667:
1663:
1656:
1653:
1648:
1644:
1640:
1636:
1632:
1628:
1624:
1617:
1615:
1613:
1611:
1607:
1594:
1590:
1584:
1581:
1569:
1565:
1559:
1556:
1551:
1547:
1542:
1537:
1532:
1527:
1523:
1519:
1515:
1508:
1505:
1500:
1494:
1490:
1489:
1481:
1478:
1473:
1469:
1464:
1459:
1455:
1451:
1447:
1443:
1439:
1432:
1429:
1424:
1418:
1414:
1410:
1403:
1402:
1394:
1391:
1386:
1382:
1378:
1376:9781450383134
1372:
1368:
1364:
1359:
1354:
1347:
1346:
1338:
1335:
1330:
1326:
1322:
1320:9781450362436
1316:
1312:
1308:
1301:
1300:
1295:
1288:
1285:
1280:
1274:
1271:
1266:
1265:
1257:
1254:
1249:
1245:
1241:
1237:
1232:
1227:
1223:
1219:
1212:
1209:
1204:
1200:
1196:
1192:
1188:
1184:
1180:
1176:
1172:
1165:
1162:
1157:
1151:
1147:
1146:
1138:
1135:
1130:
1126:
1122:
1120:9783035623079
1116:
1112:
1108:
1104:
1103:
1095:
1093:
1089:
1084:
1078:
1074:
1070:
1066:
1065:
1057:
1055:
1051:
1046:
1042:
1038:
1034:
1030:
1026:
1022:
1015:
1012:
1007:
1003:
999:
995:
991:
987:
983:
976:
974:
972:
968:
963:
962:maanz-ai.com/
959:
953:
950:
945:
944:macgence.com/
941:
935:
932:
926:
921:
918:
916:
913:
911:
908:
906:
903:
901:
898:
896:
893:
891:
888:
885:
881:
878:
876:
873:
871:
868:
866:
863:
861:
858:
856:
853:
851:
848:
845:
842:
840:
837:
835:
832:
830:
827:
825:
822:
821:
816:
814:
812:
805:
797:
795:
793:
789:
785:
781:
777:
773:
769:
761:
756:
754:
752:
748:
744:
739:
737:
733:
729:
725:
717:
715:
713:
709:
705:
699:
691:
689:
687:
681:
673:
671:
669:
665:
661:
657:
653:
647:
639:
637:
634:
630:
626:
622:
618:
610:
608:
601:
599:
597:
593:
589:
581:
579:
573:
571:
564:
562:
561:
557:
548:
546:
540:
538:
536:
528:
526:
524:
523:Decision tree
520:
516:
512:
503:
501:
498:
494:
490:
482:
480:
478:
474:
470:
466:
465:Jaccard index
458:
456:
454:
450:
446:
442:
433:
431:
428:
424:
420:
416:
408:
406:
404:
399:
395:
391:
386:
378:
373:
371:
368:
360:
358:
355:
354:common ground
346:
344:
342:
335:
333:
329:
327:
323:
321:
317:
309:
307:
305:
300:
292:
290:
283:
281:
274:
272:
265:
260:
258:
255:
253:
249:
245:
241:
237:
226:
223:
208:
205:
197:
194:February 2015
186:
183:
179:
176:
172:
169:
165:
162:
158:
155: –
154:
150:
149:Find sources:
143:
139:
133:
132:
127:This article
125:
121:
116:
115:
106:
103:February 2015
96:
90:
88:
83:
78:
74:
69:
68:
63:
61:
54:
53:
48:
47:
42:
37:
28:
27:
22:
21:WP:ANNOTATION
2869:
2860:
2849:. Retrieved
2847:. 2017-02-05
2844:
2832:
2805:
2799:
2746:
2742:
2732:
2721:. Retrieved
2717:
2708:
2683:
2679:
2673:
2658:
2646:. Retrieved
2628:
2617:. Retrieved
2613:
2604:
2579:. Retrieved
2575:
2529:
2525:
2515:
2504:. Retrieved
2500:
2491:
2452:
2441:
2404:
2397:
2380:
2377:Semantic Web
2376:
2353:, retrieved
2322:
2315:
2304:. Retrieved
2300:
2291:
2282:
2246:
2242:
2232:
2199:
2195:
2145:
2141:
2118:, retrieved
2112:
2106:
2096:, retrieved
2090:
2084:
2049:
2018:
1976:
1931:
1883:
1841:
1831:
1808:
1775:
1771:
1721:
1669:
1665:
1655:
1630:
1627:Semantic Web
1626:
1597:. Retrieved
1583:
1572:. Retrieved
1570:. 2018-11-27
1567:
1558:
1524:(11): e263.
1521:
1517:
1507:
1487:
1480:
1445:
1441:
1431:
1400:
1393:
1344:
1337:
1298:
1293:
1287:
1273:
1263:
1256:
1221:
1217:
1211:
1181:(3): 59–71.
1178:
1174:
1164:
1144:
1137:
1101:
1063:
1028:
1024:
1014:
989:
985:
961:
952:
943:
934:
807:
768:Thomson West
765:
740:
732:sticky notes
721:
701:
683:
649:
614:
605:
585:
577:
568:
552:
544:
532:
521:, they used
507:
486:
462:
437:
422:
412:
409:Tabular data
403:semantic web
388:
364:
350:
339:
330:
324:
313:
310:Student uses
302:
287:
278:
269:
256:
235:
233:
218:
200:
191:
181:
174:
167:
160:
153:"Annotation"
148:
136:Please help
131:verification
128:
100:
84:
82:lead section
57:
50:
44:
43:Please help
40:
2718:MedicineNet
2501:dbpedia.org
1633:(1): 5–20.
1294:AnnoMathTeX
1064:Web Writing
798:Linguistics
780:court cases
772:Lexis Nexis
660:class files
2883:Categories
2851:2019-01-06
2723:2021-09-09
2648:2008-03-05
2619:2022-09-30
2581:2022-07-18
2506:2022-09-22
2355:2022-09-22
2306:2022-09-22
2301:www.w3.org
2249:: 122152.
2120:2023-01-04
2098:2023-01-04
1778:: 108092.
1679:1601.04105
1574:2019-01-19
1358:2104.05111
1231:1907.01642
992:: 101021.
927:References
865:Marginalia
757:Other uses
629:Subversion
427:ontologies
361:On YouTube
320:marginalia
236:annotation
164:newspapers
46:improve it
2894:Reference
2773:1932-6203
2554:207169186
2546:0001-0782
2216:2150-8097
2162:2150-8097
1958:207228254
1800:245971543
1792:0950-7051
1647:224853014
1599:25 August
1385:233210264
1329:202639987
1195:1042-1629
1129:238919442
1045:8755-4615
1031:: 14–30.
1006:236238505
900:Semantics
875:Nota Bene
855:Hyperkino
846:(various)
811:treebanks
736:redaction
688:systems.
633:committed
316:highlight
87:summarize
52:talk page
2791:30419028
2743:PLOS ONE
2642:Archived
2590:cite web
2350:37730677
2224:11359711
2076:37873758
1910:15540847
1568:engadget
1550:24284080
1472:24005797
1248:49484035
1203:17846801
870:Metadata
850:Footnote
817:See also
776:statutes
753:format.
668:run-time
656:metadata
519:PageRank
511:PageRank
240:document
2889:Writing
2782:6231616
2751:Bibcode
2688:Bibcode
2483:8252126
2433:7040223
2170:9262964
1696:7409058
1541:3868983
1463:3994845
884:obelism
844:Comment
741:In the
722:In the
596:DBpedia
535:DBpedia
367:YouTube
178:scholar
2820:
2789:
2779:
2771:
2552:
2544:
2481:
2471:
2431:
2421:
2348:
2338:
2222:
2214:
2168:
2160:
2074:
2064:
1992:
1956:
1946:
1908:
1898:
1856:
1823:442374
1821:
1798:
1790:
1736:
1694:
1645:
1548:
1538:
1495:
1470:
1460:
1419:
1383:
1373:
1327:
1317:
1246:
1201:
1193:
1152:
1127:
1117:
1079:
1043:
1004:
880:Obelus
788:courts
588:Madrid
489:TF-IDF
469:TF-IDF
180:
173:
166:
159:
151:
2841:(PDF)
2550:S2CID
2479:S2CID
2457:(PDF)
2429:S2CID
2346:S2CID
2220:S2CID
2166:S2CID
2072:S2CID
1954:S2CID
1906:S2CID
1819:S2CID
1796:S2CID
1692:S2CID
1674:arXiv
1643:S2CID
1405:(PDF)
1381:S2CID
1353:arXiv
1349:(PDF)
1325:S2CID
1303:(PDF)
1244:S2CID
1226:arXiv
1199:S2CID
1125:S2CID
1002:S2CID
751:DICOM
728:image
592:Spain
392:like
185:JSTOR
171:books
2818:ISBN
2787:PMID
2769:ISSN
2596:link
2542:ISSN
2469:ISBN
2419:ISBN
2336:ISBN
2212:ISSN
2158:ISSN
2062:ISBN
1990:ISBN
1944:ISBN
1896:ISBN
1854:ISBN
1788:ISSN
1734:ISBN
1601:2015
1546:PMID
1493:ISBN
1468:PMID
1417:ISBN
1371:ISBN
1315:ISBN
1191:ISSN
1150:ISBN
1115:ISBN
1077:ISBN
1041:ISSN
770:and
706:and
627:and
590:and
513:for
467:and
417:and
398:HTML
396:and
250:and
157:news
2810:doi
2777:PMC
2759:doi
2696:doi
2534:doi
2461:doi
2409:doi
2385:doi
2328:doi
2251:doi
2247:238
2204:doi
2150:doi
2054:doi
2024:doi
1982:doi
1936:doi
1888:doi
1846:doi
1780:doi
1776:240
1726:doi
1684:doi
1635:doi
1536:PMC
1526:doi
1458:PMC
1450:doi
1409:doi
1363:doi
1307:doi
1236:doi
1183:doi
1107:doi
1069:doi
1033:doi
994:doi
762:Law
738:).
621:Git
419:XLS
415:CSV
394:XML
234:An
140:by
2885::
2868:.
2843:.
2816:.
2785:.
2775:.
2767:.
2757:.
2747:13
2745:.
2741:.
2716:.
2694:.
2684:45
2682:.
2636:.
2612:.
2592:}}
2588:{{
2574:.
2562:^
2548:.
2540:.
2530:51
2528:.
2524:.
2499:.
2477:.
2467:.
2450:.
2427:.
2417:.
2379:.
2375:.
2363:^
2344:,
2334:,
2299:.
2281:.
2263:^
2245:.
2241:.
2218:.
2210:.
2198:.
2194:.
2178:^
2164:.
2156:.
2144:.
2140:.
2128:^
2070:.
2060:.
2036:^
2004:^
1988:.
1966:^
1952:.
1942:.
1930:.
1918:^
1904:.
1894:.
1882:.
1868:^
1852:.
1817:.
1794:.
1786:.
1774:.
1770:.
1748:^
1732:.
1704:^
1690:.
1682:.
1670:37
1668:.
1664:.
1641:.
1631:12
1629:.
1625:.
1609:^
1591:.
1566:.
1544:.
1534:.
1522:15
1520:.
1516:.
1466:.
1456:.
1446:21
1444:.
1440:.
1415:.
1379:.
1369:.
1361:.
1323:.
1313:.
1242:.
1234:.
1222:46
1220:.
1197:.
1189:.
1179:53
1177:.
1173:.
1123:.
1113:.
1105:.
1091:^
1075:.
1053:^
1039:.
1029:47
1027:.
1023:.
1000:.
990:53
988:.
984:.
970:^
960:.
942:.
794:.
623:,
443:,
405:.
254:.
55:.
2872:.
2854:.
2826:.
2812::
2793:.
2761::
2753::
2726:.
2702:.
2698::
2690::
2667:.
2653:.
2651:.
2622:.
2598:)
2584:.
2556:.
2536::
2509:.
2485:.
2463::
2435:.
2411::
2391:.
2387::
2381:8
2330::
2309:.
2285:.
2257:.
2253::
2226:.
2206::
2200:4
2172:.
2152::
2146:3
2078:.
2056::
2030:.
2026::
1998:.
1984::
1938::
1912:.
1890::
1862:.
1848::
1825:.
1802:.
1782::
1742:.
1728::
1686::
1676::
1637::
1603:.
1577:.
1552:.
1528::
1501:.
1474:.
1452::
1425:.
1411::
1387:.
1365::
1355::
1331:.
1309::
1281:.
1250:.
1238::
1228::
1205:.
1185::
1158:.
1131:.
1109::
1085:.
1071::
1047:.
1035::
1008:.
996::
886:.
225:)
219:(
207:)
201:(
196:)
192:(
182:·
175:·
168:·
161:·
134:.
105:)
101:(
91:.
62:)
58:(
23:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
