Knowledge (XXG)

Topic map

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characteristics of abstract subjects, which are called topics. Topics have their characteristics within scopes: i.e. the limited contexts within which the names and resources are regarded as their name, resource, and relationship characteristics. One or more interrelated documents employing this grammar is called a topic map."
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In normal use it is often desirable to have a way to arbitrarily query the data within a particular Topic Maps store. Many implementations provide a syntax by which this can be achieved (somewhat like 'SQL for Topic Maps') but the syntax tends to vary a lot between different implementations. With
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Topic maps explicitly support the concept of merging of identity between multiple topics or topic maps. Furthermore, because ontologies are topic maps themselves, they can also be merged thus allowing for the automated integration of information from diverse sources into a coherent new topic map.
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The specification is summarized in the abstract as follows: "This specification provides a model and grammar for representing the structure of information resources used to define topics, and the associations (relationships) between topics. Names, resources, and relationships are said to be
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for topic maps). Constraints can be used to define things like 'every document needs an author' or 'all managers must be human'. There are often implementation specific ways of achieving these goals, but work has gone into defining a standardized constraint language as follows:
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The "Topic Maps" concept has existed for a long time. The HyTime standard was proposed as far back as 1992 (or earlier?). Earlier versions of ISO 13250 (than the current revision) also exist. More information about such standards can be found at the ISO Topic Maps site.
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Linear topic map notation (LTM) serves as a kind of shorthand for writing topic maps in plain text editors. This is useful for writing short personal topic maps or exchanging partial topic maps by email. The format can be converted to XTM.
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There is another format called AsTMa which serves a similar purpose. When writing topic maps manually it is much more compact, but of course can be converted to XTM. Alternatively, it can be used directly with the
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The above standards are all recently proposed or defined as part of ISO/IEC 13250. As described below, there are also other, serialization formats such as LTM, AsTMa= that have not been put forward as standards.
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Topics, associations, and occurrences can all be typed, where the types must be defined by the one or more creators of the topic map(s). The definitions of allowed types is known as the
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structures so that multiple indexes from different sources could be merged. However, the developers quickly realized that with a little additional generalization, they could create a
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It can also be desirable to define a set of constraints that can be used to guarantee or check the semantic validity of topic maps data for a particular domain. (Somewhat like
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standard called Common Topic Maps Application Programming Interface (TMAPI) was published in April 2004 and is supported by many Topic Maps implementations or vendors:
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In 2000, Topic Maps was defined in an XML syntax XTM. This is now commonly known as "XTM 1.0" and is still in fairly common use.
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Note that XTM 1.0 predates and therefore is not compatible with the more recent versions of the (ISO/IEC 13250) standard.
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The ISO standards committee published an updated XML syntax in 2006, XTM 2.0 which is increasingly in use today.
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The data formats of XTM and LTM are similar to the W3C standards for RDF/XML or the older N3 notation.
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of information. Topic maps were originally developed in the late 1990s as a way to represent
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this in mind, work has gone into defining a standardized syntax for querying topic maps:
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The work standardizing topic maps (ISO/IEC 13250) took place under the umbrella of the
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in many respects, though only topic maps are ISO standards. Topic maps are a form of
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Some work has been undertaken to provide interoperability between the W3C's
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The topic maps (ISO/IEC 13250) reference model and data model standards
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are defined independent of any specific serialization or syntax.
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Other proposed or standardized serialization formats include:
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Charting the Topic Maps Research and Applications Landscape
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XML Topic Maps: Creating and Using Topic Maps for the Web
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standards though the two have slightly different goals.
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of Topic Maps is, in many ways, equivalent to that of
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The 827:: CS1 maint: numeric names: authors list ( 548:aps format (canonicalization of topic maps) 4498: 4235: 4221: 4213: 1906: 1892: 1884: 1016: 1002: 994: 336: 322: 280:List of concept- and mind-mapping software 27: 1873:International Electrotechnical Commission 885: 883: 387:A topic map represents information using 793: 251: 115: 44: 39: 4441:Knowledge representation and reasoning 4375:Semantic service-oriented architecture 820: 450:Features such as subject identifiers ( 360:of knowledge, with an emphasis on the 601:Module TM (which also supports LTM). 7: 951:Explorer's Guide to the Semantic Web 975:Information portal about Topic Maps 4806:Knowledge representation languages 4502:Syntax and supporting technologies 14: 4197: 4196: 892:"Living With Topic Maps and RDF" 676:TMCL is functionally similar to 672:– Topic Maps Constraint Language 31: 566:aps Notation (not based on XML) 380:standard is formally known as 93:Ontology (information science) 1: 4616:Schemas, ontologies and rules 980:An Introduction to Topic Maps 16:Knowledge organization system 915:Lutz Maicher and Jack Park: 890:Lars Marius Garshol (2003). 483:Topic Maps – Reference Model 456:published subject indicators 929:Jack Park and Sam Hunting: 651:– Topic Maps Query Language 454:given to topics) and PSIs ( 434:technology similar to RDF. 295:Problem structuring methods 4847: 4643:Semantic Web Rule Language 949:Passin, Thomas B. (2004). 422:Topic maps are similar to 4192: 1925: 781:Unified Modeling Language 770:Semantic interoperability 503:XML serialization formats 270:Entity–relationship model 53:Business decision mapping 4749:Microformat vocabularies 4421:Information architecture 953:. Manning Publications. 4811:Technical communication 4638:Rule Interchange Format 4401:Collective intelligence 489:Topic Maps – Data Model 78:Knowledge visualization 404:relationships between 366:back-of-the-book index 352:is a standard for the 265:Diagrammatic reasoning 88:Morphological analysis 25: 682:Web Ontology Language 290:Ontology (philosophy) 189:Layered graph drawing 63:Graphic communication 24: 4436:Knowledge management 4431:Knowledge extraction 864:ISO (5 March 2008). 738:semantic abstraction 662:database constraints 656:Constraint standards 438:Ontology and merging 204:Organizational chart 199:Object-role modeling 116:Node–link approaches 4708:Common vocabularies 4662:Semantic annotation 4360:Semantic publishing 468:ISO/IEC JTC 1/SC 34 98:Schema (psychology) 40:Information mapping 4831:Semantic relations 4456:Digital humanities 4345:Semantic computing 4335:Semantic analytics 4319:Rule-based systems 1919:by standard number 933:, Addison-Wesley, 717:standards and the 446:of the topic map. 382:ISO/IEC 13250:2003 209:Pathfinder network 73:Information design 58:Data visualization 26: 4793: 4792: 4789: 4788: 4699:Facebook Platform 4586: 4585:(no W3C standard) 4578: 4571: 4564: 4557: 4550: 4543: 4536: 4522: 4486:Web Science Trust 4406:Description logic 4365:Semantic reasoner 4355:Semantic matching 4283:Semantic networks 4210: 4209: 1933:ISO romanizations 1881: 1880: 688:Earlier standards 608:Related standards 346: 345: 45:Topics and fields 4838: 4581: 4574: 4567: 4560: 4553: 4546: 4539: 4532: 4518: 4499: 4237: 4230: 4223: 4214: 4200: 4199: 1920: 1908: 1901: 1894: 1885: 1018: 1011: 1004: 995: 964: 932: 918: 903: 902: 900: 898: 887: 878: 877: 875: 873: 861: 855: 854: 852: 850: 839: 833: 832: 826: 818: 816: 814: 805:. Archived from 798: 730:expressive power 697:RDF relationship 462:Current standard 338: 331: 324: 275:Geovisualization 260:Design rationale 219:Semantic network 149:Conceptual graph 103:Visual analytics 35: 28: 4846: 4845: 4841: 4840: 4839: 4837: 4836: 4835: 4796: 4795: 4794: 4785: 4744: 4703: 4657: 4611: 4490: 4481:Web engineering 4451:Digital library 4389: 4370:Semantic search 4350:Semantic mapper 4340:Semantic broker 4323: 4292: 4246: 4241: 4211: 4206: 4188: 4112: 3838: 2990: 1939: 1921: 1918: 1912: 1882: 1877: 1861: 1362: 1027: 1022: 971: 961: 948: 930: 916: 912: 910:Further reading 907: 906: 896: 894: 889: 888: 881: 871: 869: 863: 862: 858: 848: 846: 841: 840: 836: 819: 812: 810: 801:ISO JTC1/SC34. 800: 799: 795: 790: 765:Knowledge graph 761: 747:relationships ( 699: 690: 670:ISO 19756: TMCL 658: 649:ISO 18048: TMQL 641: 615: 610: 523: 505: 496: 464: 440: 400:, representing 342: 169:Hyperbolic tree 139:Concept lattice 108:Visual language 17: 12: 11: 5: 4844: 4842: 4834: 4833: 4828: 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925:3-540-32527-1 922: 914: 913: 909: 893: 886: 884: 880: 867: 860: 857: 845:. 3 June 2008 844: 838: 835: 830: 824: 809:on 6 May 2014 808: 804: 797: 794: 787: 782: 779: 776: 773: 771: 768: 766: 763: 762: 758: 756: 754: 750: 746: 744: 739: 735: 731: 728:The semantic 726: 724: 721:'s family of 720: 716: 712: 708: 704: 696: 694: 687: 685: 683: 679: 671: 668: 667: 666: 663: 655: 650: 647: 646: 645: 638: 633: 630: 627: 624: 623: 622: 620: 612: 607: 605: 602: 600: 594: 590: 583: 579: 575: 571: 568: 565: 561: 557: 553: 550: 547: 543: 539: 535: 531: 528: 527: 526: 521:Other formats 520: 518: 517: 510: 507: 506: 502: 500: 493: 488: 485: 482: 479: 478: 477: 475: 471: 469: 461: 459: 457: 453: 447: 445: 437: 435: 433: 429: 425: 417: 413: 410: 407: 403: 399: 396: 393: 390: 389: 388: 385: 383: 379: 375: 371: 367: 363: 359: 355: 351: 339: 334: 332: 327: 325: 320: 319: 317: 316: 311: 308: 306: 303: 301: 298: 296: 293: 291: 288: 286: 283: 281: 278: 276: 273: 271: 268: 266: 263: 261: 258: 257: 256: 255: 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Index


detail of a Tree of Knowledge after Diderot & d'Alembert's Encyclopédie, by Chrétien Frédéric Guillaume Roth
Business decision mapping
Data visualization
Graphic communication
Infographics
Information design
Knowledge visualization
Mental model
Morphological analysis
Ontology (information science)
Schema (psychology)
Visual analytics
Visual language
Argument map
Cladistics
Cognitive map
Concept lattice
Concept map
Conceptual graph
Decision tree
Dendrogram
Graph drawing
Hyperbolic tree
Hypertext
Issue map
Issue tree
Layered graph drawing
Mind map
Object-role modeling

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.

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