SherbyNet - /page/wikibook/entry.mu

Micron Document

<!DOCTYPE html>

<title>Knowledge base</title>

</head>

<span id="openzim-page-title" class="mw-page-title-main"><span class="mw-page-title-main">Knowledge base</span></span>

</h1>

</header>

</p>

/* start https://en.wikipedia.org/ */

.mw-parser-output .ambox{border:1px solid #a2a9b1;border-left:10px solid #36c;background-color:#fbfbfb;box-sizing:border-box}.mw-parser-output .ambox+link+.ambox,.mw-parser-output .ambox+link+style+.ambox,.mw-parser-output .ambox+link+link+.ambox,.mw-parser-output .ambox+.mw-empty-elt+link+.ambox,.mw-parser-output .ambox+.mw-empty-elt+link+style+.ambox,.mw-parser-output .ambox+.mw-empty-elt+link+link+.ambox{margin-top:-1px}html body.mediawiki .mw-parser-output .ambox.mbox-small-left{margin:4px 1em 4px 0;overflow:hidden;width:238px;border-collapse:collapse;font-size:88%;line-height:1.25em}.mw-parser-output .ambox-speedy{border-left:10px solid #b32424;background-color:#fee7e6}.mw-parser-output .ambox-delete{border-left:10px solid #b32424}.mw-parser-output .ambox-content{border-left:10px solid #f28500}.mw-parser-output .ambox-style{border-left:10px solid #fc3}.mw-parser-output .ambox-move{border-left:10px solid #9932cc}.mw-parser-output .ambox-protection{border-left:10px solid #a2a9b1}.mw-parser-output .ambox .mbox-text{border:none;padding:0.25em 0.5em;width:100%}.mw-parser-output .ambox .mbox-image{border:none;padding:2px 0 2px 0.5em;text-align:center}.mw-parser-output .ambox .mbox-imageright{border:none;padding:2px 0.5em 2px 0;text-align:center}.mw-parser-output .ambox .mbox-empty-cell{border:none;padding:0;width:1px}.mw-parser-output .ambox .mbox-image-div{width:52px}@media(min-width:720px){.mw-parser-output .ambox{margin:0 10%}}@media print{body.ns-0 .mw-parser-output .ambox{display:none!important}}

/* end https://en.wikipedia.org/ */

</style>

<p>In <a href="Computer_science" title="Computer science">computer science</a>, a <b>knowledge base</b> (<b>KB</b>) is a set of sentences, each sentence given in a <a href="Knowledge_representation_and_reasoning" title="Knowledge representation and reasoning">knowledge representation language</a>, with <a href="Interface_(computing)" title="Interface (computing)">interfaces</a> to tell new sentences and to ask questions about what is known, where either of these interfaces might use <a href="Inference" title="Inference">inference</a>.<sup id="cite_ref-1" class="reference"><a href="#cite_note-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup> It is a technology used to <a href="Information_storage" class="mw-redirect" title="Information storage">store</a> complex <a href="Structured_data" class="mw-redirect" title="Structured data">structured data</a> used by a <a href="Computer" title="Computer">computer system</a>. The initial use of the term was in connection with <a href="Expert_systems" class="mw-redirect" title="Expert systems">expert systems</a>, which were the first <a href="Knowledge-based_systems" title="Knowledge-based systems">knowledge-based systems</a>.

</p>

<div class="mw-heading mw-heading2"><h2 id="Original_usage_of_the_term">Original usage of the term</h2></div>

<p>The original use of the term knowledge base was to describe one of the two sub-systems of an <a href="Expert_system" title="Expert system">expert system</a>. A <a href="Knowledge-based_systems" title="Knowledge-based systems">knowledge-based system</a> consists of a knowledge-base representing facts about the world and ways of <a href="Reasoning_system" title="Reasoning system">reasoning</a> about those facts to deduce new facts or highlight inconsistencies.<sup id="cite_ref-hayes_2-0" class="reference"><a href="#cite_note-hayes-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup>

</p>

<div class="mw-heading mw-heading2"><h2 id="Properties">Properties</h2></div>

<p>The term "knowledge-base" was coined to distinguish this form of knowledge store from the more common and widely used term <i><a href="Database" title="Database">database</a></i>. During the 1970s, virtually all large <a href="Management_information_systems" class="mw-redirect" title="Management information systems">management information systems</a> stored their <a href="Data" title="Data">data</a> in some type of <a href="Hierarchical_database_model" title="Hierarchical database model">hierarchical</a> or <a href="Relational_database" title="Relational database">relational</a> <a href="Database" title="Database">database</a>. At this point in the history of <a href="Information_technology" title="Information technology">information technology</a>, the distinction between a database and a knowledge-base was clear and unambiguous.

</p><p>A database had the following properties:

</p>

<ul><li><a href="Attribute%E2%80%93value_system" title="Attribute–value system">Flat data:</a> Data was usually represented in a tabular format with strings or numbers in each field.</li>

<li>Multiple users: A conventional database needed to support more than one user or system logged into the same data at the same time.</li>

<li><a href="Database_transaction" title="Database transaction">Transactions</a>: An essential requirement for a database was to maintain integrity and consistency among data accessed by <a href="Concurrent_user" title="Concurrent user">concurrent users</a>. These are the so-called <a href="ACID" title="ACID">ACID</a> properties: Atomicity, Consistency, Isolation, and Durability.</li>

<li>Large, long-lived data: A corporate database needed to support not just thousands but hundreds of thousands or more rows of data. Such a database usually needed to persist past the specific uses of any individual program; it needed to store data for years and decades rather than for the life of a program.</li></ul>

<p>The first knowledge-based systems had data needs that were the opposite of these database requirements. An expert system requires <a href="Data_model" title="Data model">structured data</a>. Not just tables with numbers and strings, but pointers to other objects that in turn have additional pointers. The ideal representation for a knowledge base is an object model (often called an <a href="Ontology_(information_science)" title="Ontology (information science)">ontology</a> in <a href="AI" class="mw-redirect" title="AI">artificial intelligence</a> literature) with classes, subclasses and instances.

</p><p>Early expert systems also had little need for multiple users or the complexity that comes with requiring transactional properties on data. The data in early expert systems was used to arrive at a specific answer, such as a medical diagnosis, the design of a molecule, or a response to an emergency.<sup id="cite_ref-hayes_2-1" class="reference"><a href="#cite_note-hayes-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup> Once the solution to the problem was known, there was not a critical demand to store large amounts of data back to a permanent memory store. A more precise statement would be that given the technologies available, researchers compromised and did without these capabilities because they realized they were beyond what could be expected, and they could develop useful solutions to non-trivial problems without them. Even from the beginning, the more astute researchers realized the potential benefits of being able to store, analyze, and reuse knowledge. For example, see the discussion of Corporate Memory in the earliest work of the <a href="Knowledge_Based_Software_Assistant" title="Knowledge Based Software Assistant">Knowledge-Based Software Assistant</a> program by <a href="Cordell_Green" title="Cordell Green">Cordell Green</a> et al.<sup id="cite_ref-3" class="reference"><a href="#cite_note-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup>

</p><p>The volume requirements were also different for a knowledge-base compared to a conventional database. The knowledge-base needed to know facts about the world. For example, to represent the statement that "All humans are mortal", a database typically could not represent this general knowledge but instead would need to store information about thousands of tables that represented information about specific humans. Representing that all humans are mortal and being able to reason about any given human that they are mortal is the work of a knowledge-base. Representing that George, Mary, Sam, Jenna, Mike,... and hundreds of thousands of other customers are all humans with specific ages, sex, address, etc. is the work for a database.<sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup>

</p><p>As expert systems moved from being prototypes to systems deployed in corporate environments the requirements for their data storage rapidly started to overlap with the standard database requirements for multiple, distributed users with support for transactions. Initially, the demand could be seen in two different but competitive markets. From the <a href="Artificial_intelligence" title="Artificial intelligence">AI</a> and <a href="Object-oriented_programming" title="Object-oriented programming">Object-Oriented</a> communities, <a href="Object_database" title="Object database">object-oriented databases</a> such as <a href="Versant_Object_Database" class="mw-redirect" title="Versant Object Database">Versant</a> emerged. These were systems designed from the ground up to have support for object-oriented capabilities but also to support standard database services as well. On the other hand, the large database vendors such as <a href="Oracle_Corporation" title="Oracle Corporation">Oracle</a> added capabilities to their products that provided support for knowledge-base requirements such as class-subclass relations and rules wiki .

</p>

<div class="mw-heading mw-heading2"><h2 id="Types_of_Knowledge_Base_Systems">Types of Knowledge Base Systems</h2></div>

<p>As any informational hub, the knowledge base can store various content types which will serve different audiences and have contrasting purposes. So, to better understand knowledge base types, let’s discuss them from two different angles: purpose and content.

</p><p><b>Internal vs. external knowledge bases</b>

Here, we can divide our informational hubs into two main purposes – external and internal.

</p>

<ul><li><b>Internal knowledge base:</b> This type of knowledge hub is designed for employees within the organization. It acts like a corporate wiki and can be created for different reasons, but mainly for: onboarding new hires, documenting internal policies, and giving quick answers on employees’ demands.</li>

<li><b>External knowledge base:</b> This is a direct opposite of the internal hub and is created for clients, prospects, and, sometimes, for the public. The main goal of this base is to reduce customer support workload, offer easy access to effective tips and enhance the overall user experience.<sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup></li></ul>

<div class="mw-heading mw-heading2"><h2 id="Internet_as_a_knowledge_base">Internet as a knowledge base</h2></div>

<p>The next evolution for the term "knowledge-base" was the <a href="Internet" title="Internet">Internet</a>. With the rise of the Internet, documents, <a href="Hypertext" title="Hypertext">hypertext</a>, and multimedia support were now critical for any corporate database. It was no longer enough to support large tables of data or relatively small objects that lived primarily in computer memory. Support for corporate web sites required persistence and transactions for documents. This created a whole new discipline known as <a href="Web_Content_Management" class="mw-redirect" title="Web Content Management">Web Content Management</a>.

</p><p>The other driver for document support was the rise of <a href="Knowledge_management" title="Knowledge management">knowledge management</a> vendors such as <a href="HCL_Notes" title="HCL Notes">HCL Notes</a> (formerly Lotus Notes). <a href="Knowledge_management" title="Knowledge management">Knowledge Management</a> actually predated the Internet but with the Internet there was great synergy between the two areas. Knowledge management products adopted the term "knowledge-base" to describe their <a href="Repository_(version_control)" title="Repository (version control)">repositories</a> but the meaning had a big difference. In the case of previous knowledge-based systems, the knowledge was primarily for the use of an automated system, to reason about and draw conclusions about the world. With knowledge management products, the knowledge was primarily meant for humans, for example to serve as a repository of manuals, procedures, policies, best practices, reusable designs and code, etc. In both cases the distinctions between the uses and kinds of systems were ill-defined. As the technology scaled up it was rare to find a system that could really be cleanly classified as knowledge-based in the sense of an expert system that performed automated reasoning and knowledge-based in the sense of knowledge management that provided knowledge in the form of documents and media that could be leveraged by humans.<sup id="cite_ref-7" class="reference"><a href="#cite_note-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup>

</p>

<div class="mw-heading mw-heading2"><h2 id="Examples">Examples</h2></div>

<li><a href="YAGO_(database)" title="YAGO (database)">YAGO (database)</a></li></ul>

/* start https://en.wikipedia.org/ */

.mw-parser-output .div-col{margin-top:0.3em;column-width:30em}.mw-parser-output .div-col-small{font-size:90%}.mw-parser-output .div-col-rules{column-rule:1px solid #aaa}.mw-parser-output .div-col dl,.mw-parser-output .div-col ol,.mw-parser-output .div-col ul{margin-top:0}.mw-parser-output .div-col li,.mw-parser-output .div-col dd{page-break-inside:avoid;break-inside:avoid-column}

/* end https://en.wikipedia.org/ */

</style><div class="div-col">

<ul><li><a href="Content_management" title="Content management">Content management</a></li>

<li><a href="Database" title="Database">Database</a></li>

<li><a href="Enterprise_bookmarking" title="Enterprise bookmarking">Enterprise bookmarking</a></li>

<li><a href="Information_repository" title="Information repository">Information repository</a></li>

<li><a href="Knowledge-based_system" class="mw-redirect" title="Knowledge-based system">Knowledge-based system</a></li>

<li><a href="Knowledge_graph" title="Knowledge graph">Knowledge graph</a></li>

<li><a href="Knowledge_management" title="Knowledge management">Knowledge management</a></li>

<li><a href="Microsoft_Knowledge_Base" title="Microsoft Knowledge Base">Microsoft Knowledge Base</a></li>

<li><a href="Diffbot" title="Diffbot">Diffbot</a></li>

<li><a href="Ontology_engineering" title="Ontology engineering">Ontology engineering</a></li>

<li><a href="Semantic_network" title="Semantic network">Semantic network</a></li>

<li><a href="Semantic_wiki" title="Semantic wiki">Semantic wiki</a></li>

<li><a href="Symbolic_artificial_intelligence" title="Symbolic artificial intelligence">Symbolic artificial intelligence</a></li>

<li><a href="Text_mining" title="Text mining">Text mining</a></li>

<li><a href="Wikidata" title="Wikidata">Wikidata</a></li></ul>

</div>

<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>

/* start https://en.wikipedia.org/ */

.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output .reflist-columns-3{column-width:25em}.mw-parser-output .reflist-columns{margin-top:0.3em}.mw-parser-output .reflist-columns ol{margin-top:0}.mw-parser-output .reflist-columns li{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .reflist-upper-alpha{list-style-type:upper-alpha}.mw-parser-output .reflist-upper-roman{list-style-type:upper-roman}.mw-parser-output .reflist-lower-alpha{list-style-type:lower-alpha}.mw-parser-output .reflist-lower-greek{list-style-type:lower-greek}.mw-parser-output .reflist-lower-roman{list-style-type:lower-roman}

/* end https://en.wikipedia.org/ */

</style><div class="reflist">

/* start https://en.wikipedia.org/ */

.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("./mw/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("./mw/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("./mw/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("./mw/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}

/* end https://en.wikipedia.org/ */

</style><cite id="CITEREFRussell2021" class="citation book cs1"><a href="Stuart_J._Russell" title="Stuart J. Russell">Russell, Stuart J.</a> (2021). "Knowledge-based agents". <i>Artificial intelligence: a modern approach</i>. <a href="Peter_Norvig" title="Peter Norvig">Peter Norvig</a>, Ming-Wei Chang, Jacob Devlin, Anca Dragan, <a href="David_Forsyth_(computer_scientist)" title="David Forsyth (computer scientist)">David Forsyth</a>, <a href="Ian_Goodfellow" title="Ian Goodfellow">Ian Goodfellow</a>, <a href="Jitendra_Malik" title="Jitendra Malik">Jitendra Malik</a>, Vikash Mansinghka, <a href="Judea_Pearl" title="Judea Pearl">Judea Pearl</a>, Michael J. Wooldridge (Fourth ed.). Hoboken, NJ: Pearson. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>978-0-13-461099-3</bdi>. <a href="OCLC_(identifier)" class="mw-redirect" title="OCLC (identifier)">OCLC</a> <a rel="nofollow" class="external text" href="https://search.worldcat.org/oclc/1124776132">1124776132</a>.</cite></span>

</li>

<li id="cite_note-hayes-2"><span class="mw-cite-backlink">^ <a href="#cite_ref-hayes_2-0"><sup><i><b>a</b></i></sup></a> <a href="#cite_ref-hayes_2-1"><sup><i><b>b</b></i></sup></a></span> <span class="reference-text"><cite id="CITEREFHayes-RothDonald_WatermanDouglas_Lenat1983" class="citation book cs1">Hayes-Roth, Frederick; Donald Waterman; Douglas Lenat (1983). <span class="id-lock-registration" title="Free registration required"><a rel="nofollow" class="external text" href="https://archive.org/details/buildingexpertsy00temd"><i>Building Expert Systems</i></a></span>. Addison-Wesley. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>0-201-10686-8</bdi>.</cite></span>

</li>

<li id="cite_note-3"><span class="mw-cite-backlink"><b><a href="#cite_ref-3">^</a></b></span> <span class="reference-text"><cite id="CITEREFGreenD._LuckhamR._BalzerT._Cheatham1986" class="citation journal cs1">Green, Cordell; D. Luckham; R. Balzer; T. Cheatham; C. Rich (1986). <span class="id-lock-subscription" title="Paid subscription required"><a rel="nofollow" class="external text" href="http://dl.acm.org/citation.cfm?id=31893">"Report on a knowledge-based software assistant"</a></span>. <i>Readings in Artificial Intelligence and Software Engineering</i>. Morgan Kaufmann: <span class="nowrap">377–</span>428. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1016%2FB978-0-934613-12-5.50034-3">10.1016/B978-0-934613-12-5.50034-3</a>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>9780934613125</bdi><span class="reference-accessdate">. Retrieved <span class="nowrap">1 December</span> 2013</span>.</cite></span>

</li>

<li id="cite_note-4"><span class="mw-cite-backlink"><b><a href="#cite_ref-4">^</a></b></span> <span class="reference-text"><cite id="CITEREFFeigenbaum1983" class="citation book cs1">Feigenbaum, Edward (1983). <span class="id-lock-registration" title="Free registration required"><a rel="nofollow" class="external text" href="https://archive.org/details/fifthgeneration00feig"><i>The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World</i></a></span>. Reading, MA: Addison-Wesley. p. <a rel="nofollow" class="external text" href="https://archive.org/details/fifthgeneration00feig/page/77">77</a>. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>0-201-11519-0</bdi>. <q>Your database is that patient's record, including history... vital signs, drugs given,... The knowledge base... is what you learned in medical school... it consists of facts, predicates, and beliefs...</q></cite></span>

</li>

<li id="cite_note-5"><span class="mw-cite-backlink"><b><a href="#cite_ref-5">^</a></b></span> <span class="reference-text"><cite id="CITEREFJarke1978" class="citation book cs1">Jarke, Mathias (1978). <a rel="nofollow" class="external text" href="http://www.dfki.de/~wahlster/Publications/KBMS_Requirements_of_Knowledge-Based_Systems.pdf">"KBMS Requirements for Knowledge-Based Systems"</a> <span class="cs1-format">(PDF)</span>. <i>Logic, Databases, and Artificial Intelligence</i>. Berlin: Springer. <a rel="nofollow" class="external text" href="https://web.archive.org/web/20130622070719/http://www.dfki.de/~wahlster/Publications/KBMS_Requirements_of_Knowledge-Based_Systems.pdf">Archived</a> <span class="cs1-format">(PDF)</span> from the original on 22 June 2013<span class="reference-accessdate">. Retrieved <span class="nowrap">1 December</span> 2013</span>.</cite></span>

</li>

<li id="cite_note-6"><span class="mw-cite-backlink"><b><a href="#cite_ref-6">^</a></b></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://sereda.ai/en/blog/what-is-knowledge-base-and-how-does-it-work?utm_source=en.wikipedia&utm_medium=knowledgebase&utm_campaign=article">Knowledge Base: How to Keep Information That Took Years to Build</a></span>

</li>

<li id="cite_note-7"><span class="mw-cite-backlink"><b><a href="#cite_ref-7">^</a></b></span> <span class="reference-text"><cite id="CITEREFKrishna1992" class="citation book cs1">Krishna, S (1992). <i>Introduction to Database and Knowledge-base Systems</i>. Singapore: World Scientific Publishing. <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>981-02-0619-4</bdi>.</cite></span>

</li>

</ol></div></div>

<div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2></div>

/* start https://en.wikipedia.org/ */

.mw-parser-output .side-box{margin:4px 0;box-sizing:border-box;border:1px solid #aaa;font-size:88%;line-height:1.25em;background-color:var(--background-color-interactive-subtle,#f8f9fa);display:flow-root}.mw-parser-output .infobox .side-box{font-size:100%}.mw-parser-output .side-box-abovebelow,.mw-parser-output .side-box-text{padding:0.25em 0.9em}.mw-parser-output .side-box-image{padding:2px 0 2px 0.9em;text-align:center}.mw-parser-output .side-box-imageright{padding:2px 0.9em 2px 0;text-align:center}@media(min-width:500px){.mw-parser-output .side-box-flex{display:flex;align-items:center}.mw-parser-output .side-box-text{flex:1;min-width:0}}@media(min-width:720px){.mw-parser-output .side-box{width:238px}.mw-parser-output .side-box-right{clear:right;float:right;margin-left:1em}.mw-parser-output .side-box-left{margin-right:1em}}

/* end https://en.wikipedia.org/ */

</style>

/* start https://en.wikipedia.org/ */

.mw-parser-output .hlist dl,.mw-parser-output .hlist ol,.mw-parser-output .hlist ul{margin:0;padding:0}.mw-parser-output .hlist dd,.mw-parser-output .hlist dt,.mw-parser-output .hlist li{margin:0;display:inline}.mw-parser-output .hlist.inline,.mw-parser-output .hlist.inline dl,.mw-parser-output .hlist.inline ol,.mw-parser-output .hlist.inline ul,.mw-parser-output .hlist dl dl,.mw-parser-output .hlist dl ol,.mw-parser-output .hlist dl ul,.mw-parser-output .hlist ol dl,.mw-parser-output .hlist ol ol,.mw-parser-output .hlist ol ul,.mw-parser-output .hlist ul dl,.mw-parser-output .hlist ul ol,.mw-parser-output .hlist ul ul{display:inline}.mw-parser-output .hlist .mw-empty-li{display:none}.mw-parser-output .hlist dt::after{content:": "}.mw-parser-output .hlist dd::after,.mw-parser-output .hlist li::after{content:" · ";font-weight:bold}.mw-parser-output .hlist dd:last-child::after,.mw-parser-output .hlist dt:last-child::after,.mw-parser-output .hlist li:last-child::after{content:none}.mw-parser-output .hlist dd dd:first-child::before,.mw-parser-output .hlist dd dt:first-child::before,.mw-parser-output .hlist dd li:first-child::before,.mw-parser-output .hlist dt dd:first-child::before,.mw-parser-output .hlist dt dt:first-child::before,.mw-parser-output .hlist dt li:first-child::before,.mw-parser-output .hlist li dd:first-child::before,.mw-parser-output .hlist li dt:first-child::before,.mw-parser-output .hlist li li:first-child::before{content:" (";font-weight:normal}.mw-parser-output .hlist dd dd:last-child::after,.mw-parser-output .hlist dd dt:last-child::after,.mw-parser-output .hlist dd li:last-child::after,.mw-parser-output .hlist dt dd:last-child::after,.mw-parser-output .hlist dt dt:last-child::after,.mw-parser-output .hlist dt li:last-child::after,.mw-parser-output .hlist li dd:last-child::after,.mw-parser-output .hlist li dt:last-child::after,.mw-parser-output .hlist li li:last-child::after{content:")";font-weight:normal}.mw-parser-output .hlist ol{counter-reset:listitem}.mw-parser-output .hlist ol>li{counter-increment:listitem}.mw-parser-output .hlist ol>li::before{content:" "counter(listitem)"\a0 "}.mw-parser-output .hlist dd ol>li:first-child::before,.mw-parser-output .hlist dt ol>li:first-child::before,.mw-parser-output .hlist li ol>li:first-child::before{content:" ("counter(listitem)"\a0 "}

/* end https://en.wikipedia.org/ */

</style><style data-mw-deduplicate="TemplateStyles:r1236075235">

/* start https://en.wikipedia.org/ */

.mw-parser-output .navbox{box-sizing:border-box;border:1px solid #a2a9b1;width:100%;clear:both;font-size:88%;text-align:center;padding:1px;margin:1em auto 0}.mw-parser-output .navbox .navbox{margin-top:0}.mw-parser-output .navbox+.navbox,.mw-parser-output .navbox+.navbox-styles+.navbox{margin-top:-1px}.mw-parser-output .navbox-inner,.mw-parser-output .navbox-subgroup{width:100%}.mw-parser-output .navbox-group,.mw-parser-output .navbox-title,.mw-parser-output .navbox-abovebelow{padding:0.25em 1em;line-height:1.5em;text-align:center}.mw-parser-output .navbox-group{white-space:nowrap;text-align:right}.mw-parser-output .navbox,.mw-parser-output .navbox-subgroup{background-color:#fdfdfd}.mw-parser-output .navbox-list{line-height:1.5em;border-color:#fdfdfd}.mw-parser-output .navbox-list-with-group{text-align:left;border-left-width:2px;border-left-style:solid}.mw-parser-output tr+tr>.navbox-abovebelow,.mw-parser-output tr+tr>.navbox-group,.mw-parser-output tr+tr>.navbox-image,.mw-parser-output tr+tr>.navbox-list{border-top:2px solid #fdfdfd}.mw-parser-output .navbox-title{background-color:#ccf}.mw-parser-output .navbox-abovebelow,.mw-parser-output .navbox-group,.mw-parser-output .navbox-subgroup .navbox-title{background-color:#ddf}.mw-parser-output .navbox-subgroup .navbox-group,.mw-parser-output .navbox-subgroup .navbox-abovebelow{background-color:#e6e6ff}.mw-parser-output .navbox-even{background-color:#f7f7f7}.mw-parser-output .navbox-odd{background-color:transparent}.mw-parser-output .navbox .hlist td dl,.mw-parser-output .navbox .hlist td ol,.mw-parser-output .navbox .hlist td ul,.mw-parser-output .navbox td.hlist dl,.mw-parser-output .navbox td.hlist ol,.mw-parser-output .navbox td.hlist ul{padding:0.125em 0}.mw-parser-output .navbox .navbar{display:block;font-size:100%}.mw-parser-output .navbox-title .navbar{float:left;text-align:left;margin-right:0.5em}body.skin--responsive .mw-parser-output .navbox-image img{max-width:none!important}@media print{body.ns-0 .mw-parser-output .navbox{display:none!important}}

/* end https://en.wikipedia.org/ */

</style></div><div role="navigation" class="navbox" aria-labelledby="Semantic_Web71" style="padding:3px"><table class="nowraplinks mw-collapsible autocollapse navbox-inner" style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><style data-mw-deduplicate="TemplateStyles:r1239400231">

/* start https://en.wikipedia.org/ */

.mw-parser-output .navbar{display:inline;font-size:88%;font-weight:normal}.mw-parser-output .navbar-collapse{float:left;text-align:left}.mw-parser-output .navbar-boxtext{word-spacing:0}.mw-parser-output .navbar ul{display:inline-block;white-space:nowrap;line-height:inherit}.mw-parser-output .navbar-brackets::before{margin-right:-0.125em;content:"[ "}.mw-parser-output .navbar-brackets::after{margin-left:-0.125em;content:" ]"}.mw-parser-output .navbar li{word-spacing:-0.125em}.mw-parser-output .navbar a>span,.mw-parser-output .navbar a>abbr{text-decoration:inherit}.mw-parser-output .navbar-mini abbr{font-variant:small-caps;border-bottom:none;text-decoration:none;cursor:inherit}.mw-parser-output .navbar-ct-full{font-size:114%;margin:0 7em}.mw-parser-output .navbar-ct-mini{font-size:114%;margin:0 4em}html.skin-theme-clientpref-night .mw-parser-output .navbar li a abbr{color:var(--color-base)!important}@media(prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .navbar li a abbr{color:var(--color-base)!important}}@media print{.mw-parser-output .navbar{display:none!important}}

/* end https://en.wikipedia.org/ */

</style><div id="Semantic_Web71" style="font-size:114%;margin:0 4em"><a href="Semantic_Web" title="Semantic Web">Semantic Web</a></div></th></tr><tr><th scope="row" class="navbox-group" style="width:1%">Background</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="Database" title="Database">Databases</a></li>

<li><a href="Hypertext" title="Hypertext">Hypertext</a></li>

<li><a href="Internet" title="Internet">Internet</a></li>

<li><a href="Ontology_(information_science)" title="Ontology (information science)">Ontologies</a></li>

<li><a href="Semantics_(computer_science)" title="Semantics (computer science)">Semantics</a></li>

<li><a href="Semantic_network" title="Semantic network">Semantic networks</a></li>

<li><a href="World_Wide_Web" title="World Wide Web">World Wide Web</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Sub-topics</th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="Dataspaces" class="mw-redirect" title="Dataspaces">Dataspaces</a></li>

<li><a href="Hyperdata" title="Hyperdata">Hyperdata</a></li>

<li><a href="Linked_data" title="Linked data">Linked data</a></li>

<li><a href="Rule-based_system" title="Rule-based system">Rule-based systems</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Applications</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="Semantic_analytics" title="Semantic analytics">Semantic analytics</a></li>

<li><a href="Semantic_computing" title="Semantic computing">Semantic computing</a></li>

<li><a href="Semantic_mapper" title="Semantic mapper">Semantic mapper</a></li>

<li><a href="Semantic_matching" title="Semantic matching">Semantic matching</a></li>

<li><a href="Semantic_publishing" title="Semantic publishing">Semantic publishing</a></li>

<li><a href="Semantic_reasoner" title="Semantic reasoner">Semantic reasoner</a></li>

<li><a href="Semantic_search" title="Semantic search">Semantic search</a></li>

<li><a href="Semantic_service-oriented_architecture" title="Semantic service-oriented architecture">Semantic service-oriented architecture</a></li>

<li><a href="Semantic_wiki" title="Semantic wiki">Semantic wiki</a></li>

<li><a href="Solid_(web_decentralization_project)" title="Solid (web decentralization project)">Solid</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Related topics</th><td class="navbox-list-with-group navbox-list navbox-even hlist" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="Collective_intelligence" title="Collective intelligence">Collective intelligence</a></li>

<li><a href="Description_logic" title="Description logic">Description logic</a></li>

<li><a href="Folksonomy" title="Folksonomy">Folksonomy</a></li>

<li><a href="Geotagging" title="Geotagging">Geotagging</a></li>

<li><a href="Information_architecture" title="Information architecture">Information architecture</a></li>

<li><a href="IXBRL" class="mw-redirect" title="IXBRL">iXBRL</a></li>

<li><a href="Knowledge_extraction" title="Knowledge extraction">Knowledge extraction</a></li>

<li><a href="Knowledge_management" title="Knowledge management">Knowledge management</a></li>

<li><a href="Knowledge_representation_and_reasoning" title="Knowledge representation and reasoning">Knowledge representation and reasoning</a></li>

<li><a href="Library_2.0" title="Library 2.0">Library 2.0</a></li>

<li><a href="Digital_library" title="Digital library">Digital library</a></li>

<li><a href="Digital_humanities" title="Digital humanities">Digital humanities</a></li>

<li><a href="Metadata" title="Metadata">Metadata</a></li>

<li><a href="Reference_(computer_science)" title="Reference (computer science)">References</a></li>

<li><a href="Topic_map" title="Topic map">Topic map</a></li>

<li><a href="Web_engineering" title="Web engineering">Web engineering</a></li>

<li><a href="Web_Science_Trust" title="Web Science Trust">Web Science Trust</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Standards</th><td class="navbox-list-with-group navbox-list navbox-odd hlist" style="width:100%;padding:0"><div style="padding:0 0.25em"></div><table class="nowraplinks navbox-subgroup" style="border-spacing:0"><tbody><tr><th scope="row" class="navbox-group" style="width:1%">Syntax and supporting technologies</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><small><a href="Semantic_triple" title="Semantic triple">triples</a></small></li>

<li><small><a href="Turtle_(syntax)" title="Turtle (syntax)">Turtle</a></small></li>

<li><small><a href="Notation3" title="Notation3">Notation3</a></small></li>

<li><small><a href="N-Triples" title="N-Triples">N-Triples</a></small></li>

<li><small><a href="TriX_(serialization_format)" title="TriX (serialization format)">TriX</a> (no W3C standard)</small></li></ul></li>

<li><a href="SPARQL" title="SPARQL">SPARQL</a></li>

<li><a href="Semantic_HTML" title="Semantic HTML">Semantic HTML</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Schemas, ontologies and rules</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="Common_Logic" title="Common Logic">Common Logic</a></li>

<li><a href="Rule_Interchange_Format" title="Rule Interchange Format">Rule Interchange Format</a></li>

<li><a href="Semantic_Web_Rule_Language" title="Semantic Web Rule Language">Semantic Web Rule Language</a></li>

<li><a href="SHACL" title="SHACL">SHACL</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Semantic annotation</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="COinS" title="COinS">COinS</a></li>

<li><a href="GRDDL" title="GRDDL">GRDDL</a></li>

<li><a href="Microdata_(HTML)" title="Microdata (HTML)">Microdata</a></li>

<li><a href="Microformat" title="Microformat">Microformats</a></li>

<li><a href="SAWSDL" title="SAWSDL">SAWSDL</a></li>

<li><a href="Facebook_Platform" title="Facebook Platform">Facebook Platform</a></li></ul>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Common vocabularies</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="BIBFRAME" title="BIBFRAME">BIBFRAME</a></li>

<li><a href="Dublin_Core" title="Dublin Core">Dublin Core</a></li>

<li><a href="Schema.org" title="Schema.org">Schema.org</a></li>

</div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Microformat vocabularies</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em">

<ul><li><a href="HAtom" title="HAtom">hAtom</a></li>

<li><a href="HCalendar" title="HCalendar">hCalendar</a></li>

<li><a href="HCard" title="HCard">hCard</a></li>

<li><a href="HProduct" title="HProduct">hProduct</a></li>

<li><a href="HRecipe" title="HRecipe">hRecipe</a></li>

<li><a href="HReview" title="HReview">hReview</a></li></ul>

</div></td></tr></tbody></table><div></div></td></tr></tbody></table></div>

/* start https://en.wikipedia.org/ */

.mw-parser-output .tooltip-dotted{border-bottom:1px dotted;cursor:help}

/* end https://en.wikipedia.org/ */

</style></div><div role="navigation" class="navbox authority-control" aria-labelledby="Authority_control_databases_frameless&#124;text-top&#124;10px&#124;alt=Edit_this_at_Wikidata&#124;link=https&#58;//www.wikidata.org/wiki/Q593744#identifiers&#124;class=noprint&#124;Edit_this_at_Wikidata799" style="padding:3px"><table class="nowraplinks hlist mw-collapsible autocollapse navbox-inner" style="border-spacing:0;background:transparent;color:inherit"><tbody><tr><th scope="col" class="navbox-title" colspan="2"><div id="Authority_control_databases_frameless&#124;text-top&#124;10px&#124;alt=Edit_this_at_Wikidata&#124;link=https&#58;//www.wikidata.org/wiki/Q593744#identifiers&#124;class=noprint&#124;Edit_this_at_Wikidata799" style="font-size:114%;margin:0 4em">Authority control databases </div></th></tr><tr><th scope="row" class="navbox-group" style="width:1%">National</th><td class="navbox-list-with-group navbox-list navbox-odd" style="width:100%;padding:0"><div style="padding:0 0.25em"><ul><li><span class="uid"><a rel="nofollow" class="external text" href="https://d-nb.info/gnd/4289274-0">Germany</a></span></li><li><span class="uid"><span class="rt-commentedText tooltip tooltip-dotted" title="znalostní databáze"><a rel="nofollow" class="external text" href="https://aleph.nkp.cz/F/?func=find-c&local_base=aut&ccl_term=ica=ph127656&CON_LNG=ENG">Czech Republic</a></span></span></li></ul></div></td></tr><tr><th scope="row" class="navbox-group" style="width:1%">Other</th><td class="navbox-list-with-group navbox-list navbox-even" style="width:100%;padding:0"><div style="padding:0 0.25em"><ul><li><span class="uid"><a rel="nofollow" class="external text" href="http://esu.com.ua/search_articles.php?id=38830">Encyclopedia of Modern Ukraine</a></span></li></ul></div></td></tr></tbody></table></div></div><div><div class="zim-footer">

This article is issued from <a class="external text" title="Last edited on 2025-06-28" href="https://en.wikipedia.org/wiki/?title=Knowledge_base&oldid=1297823883">Wikipedia</a>. The text is available under <a class="external text" href="https://creativecommons.org/licenses/by-sa/4.0/deed.en">Creative Commons Attribution-Share Alike 4.0</a> unless otherwise noted. Additional terms may apply for the media files.

</div>

</div></div>

</div>

</main>

</div>

</body></html>