This format enables knowledge to be represented in a machine-readable way. Particularly, every part of an RDF triple is individually addressable via unique URIs—for example, the statement "Bob knows John" might be represented in RDF as:
Given this precise representation, semantic data can be unambiguously queried and reasoned about.
The basic semantic triple model.
The components of a triple, such as the statement "The sky has the color blue", consist of a subject ("the sky"), a predicate ("has the color"), and an object ("blue"). This is similar to the classical notation of an entity–attribute–value model within object-oriented design, where this example would be expressed as an entity (sky), an attribute (color) and a value (blue).
From this basic structure, triples can be composed into more complex models, by using triples as objects or subjects of other triples—for example, Mike → said → (triples → can be → objects).
Given their particular, consistent structure, a collection of triples is often stored in purpose-built databases called triplestores.
Difference to relational databasesedit
A relational database is the classical form for information storage, working with different tables, which consist of rows. The query language SQL is able to retrieve information from such a database. In contrast, RDF triple storage works with logical predicates. No tables nor rows are needed, but the information is stored in a text file. A RDF-triple storage can be converted into an SQL database and the other way around.[2] If the knowledge is highly unstructured and dedicated tables aren't flexible enough, semantic triples are used over classic relational storage.
In contrast to a traditional SQL database, an RDF triple storage isn't created with a table editor. The preferred tool is a knowledge editor, for example Protégé.[3] Protégé looks similar to an object-oriented modeling application used for software engineering, but it's focused on natural language information. The RDF triples are aggregated into a knowledge base, which allows external parsers to run requests. Possible applications include the creation of non-player characters within video games.[4]
Limitationsedit
One concern about triple storage is its lack of database scalability.[5] This problem is especially pertinent if millions of triples are stored and retrieved in a database. The seek time is larger than for classical SQL-based databases.
A more complex issue is a knowledge model's inability to predict future states. Even if all the domain knowledge is available as logical predicates, the model fails in answering what-if questions. For example, suppose in the RDF format a room with a robot and table is described. The robot knows what the location of the table is, is aware of the distance to the table and knows also that a table is a type of furniture. Before the robot can plan its next action, it needs temporal reasoning capabilities.[6] Thus, the knowledge model should answer hypothetical questions in advance before an action is taken.
See alsoedit
Named graphs and quads, an extension to semantic triples to also include a context node as a fourth element.
^Cuddihy, Paul and McHugh, Justin and Williams, Jenny Weisenberg and Mulwad, Varish and Aggour, Kareem S (2017). "SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs". arXiv:1710.11531 [cs.AI].{{cite arXiv}}: CS1 maint: multiple names: authors list (link)
^Katis, Evangelos (2018). Semantic modeling of educational curriculum and syllabus (PhD). Technological Educational Institute of Crete.
^Kluwer, Tina and Adolphs, Peter and Xu, Feiyu and Uszkoreit, Hans and Cheng, Xiwen (2010). Talking NPCs in a virtual game world. Proceedings of the ACL 2010 System Demonstrations. pp. 36–41.{{cite conference}}: CS1 maint: multiple names: authors list (link)
^Jaroslav Pokorny (2015). "Graph Databases: Their Power and Limitations" (PDF). Computer Information Systems and Industrial Management. Computer Information Systems and Industrial Management. Lecture Notes in Computer Science. Vol. 9339. Springer International Publishing. pp. 58–69. doi:10.1007/978-3-319-24369-6_5. ISBN978-3-319-24368-9.
^Claudio Gutierrez and Carlos Hurtado and Alejandro Vaisman (2007). "Introducing Time into RDF". IEEE Transactions on Knowledge and Data Engineering. 19 (2). Institute of Electrical and Electronics Engineers (IEEE): 207–218. doi:10.1109/tkde.2007.34. S2CID 9749119.
semantic, triple, semantic, triple, triple, simply, triple, atomic, data, entity, resource, description, framework, data, model, name, indicates, triple, sequence, three, entities, that, codifies, statement, about, semantic, data, form, subject, predicate, obj. A semantic triple or RDF triple or simply triple is the atomic data entity in the Resource Description Framework RDF data model 1 As its name indicates a triple is a sequence of three entities that codifies a statement about semantic data in the form of subject predicate object expressions e g Bob is 35 or Bob knows John Contents 1 Subject predicate and object 2 Difference to relational databases 3 Limitations 4 See also 5 References 6 External linksSubject predicate and object editThis format enables knowledge to be represented in a machine readable way Particularly every part of an RDF triple is individually addressable via unique URIs for example the statement Bob knows John might be represented in RDF as http example name BobSmith12 http xmlns com foaf 0 1 knows http example name JohnDoe34 Given this precise representation semantic data can be unambiguously queried and reasoned about nbsp The basic semantic triple model The components of a triple such as the statement The sky has the color blue consist of a subject the sky a predicate has the color and an object blue This is similar to the classical notation of an entity attribute value model within object oriented design where this example would be expressed as an entity sky an attribute color and a value blue From this basic structure triples can be composed into more complex models by using triples as objects or subjects of other triples for example Mike said triples can be objects Given their particular consistent structure a collection of triples is often stored in purpose built databases called triplestores Difference to relational databases editA relational database is the classical form for information storage working with different tables which consist of rows The query language SQL is able to retrieve information from such a database In contrast RDF triple storage works with logical predicates No tables nor rows are needed but the information is stored in a text file A RDF triple storage can be converted into an SQL database and the other way around 2 If the knowledge is highly unstructured and dedicated tables aren t flexible enough semantic triples are used over classic relational storage In contrast to a traditional SQL database an RDF triple storage isn t created with a table editor The preferred tool is a knowledge editor for example Protege 3 Protege looks similar to an object oriented modeling application used for software engineering but it s focused on natural language information The RDF triples are aggregated into a knowledge base which allows external parsers to run requests Possible applications include the creation of non player characters within video games 4 Limitations editOne concern about triple storage is its lack of database scalability 5 This problem is especially pertinent if millions of triples are stored and retrieved in a database The seek time is larger than for classical SQL based databases A more complex issue is a knowledge model s inability to predict future states Even if all the domain knowledge is available as logical predicates the model fails in answering what if questions For example suppose in the RDF format a room with a robot and table is described The robot knows what the location of the table is is aware of the distance to the table and knows also that a table is a type of furniture Before the robot can plan its next action it needs temporal reasoning capabilities 6 Thus the knowledge model should answer hypothetical questions in advance before an action is taken See also editNamed graphs and quads an extension to semantic triples to also include a context node as a fourth element Graph database Link relationReferences edit http www w3 org TR PR rdf syntax Resource Description Framework RDF Model and Syntax Specification Cuddihy Paul and McHugh Justin and Williams Jenny Weisenberg and Mulwad Varish and Aggour Kareem S 2017 SemTK An Ontology first Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs arXiv 1710 11531 cs AI a href Template Cite arXiv html title Template Cite arXiv cite arXiv a CS1 maint multiple names authors list link Katis Evangelos 2018 Semantic modeling of educational curriculum and syllabus PhD Technological Educational Institute of Crete Kluwer Tina and Adolphs Peter and Xu Feiyu and Uszkoreit Hans and Cheng Xiwen 2010 Talking NPCs in a virtual game world Proceedings of the ACL 2010 System Demonstrations pp 36 41 a href Template Cite conference html title Template Cite conference cite conference a CS1 maint multiple names authors list link Jaroslav Pokorny 2015 Graph Databases Their Power and Limitations PDF Computer Information Systems and Industrial Management Computer Information Systems and Industrial Management Lecture Notes in Computer Science Vol 9339 Springer International Publishing pp 58 69 doi 10 1007 978 3 319 24369 6 5 ISBN 978 3 319 24368 9 Claudio Gutierrez and Carlos Hurtado and Alejandro Vaisman 2007 Introducing Time into RDF IEEE Transactions on Knowledge and Data Engineering 19 2 Institute of Electrical and Electronics Engineers IEEE 207 218 doi 10 1109 tkde 2007 34 S2CID 9749119 External links edit RDF 1 1 Primer Triples W3C Il ruolo delle triple semantiche nella SEO 1 XiWeb https www xiweb it Retrieved from https en wikipedia org w index php title Semantic triple amp oldid 1216055995, wikipedia, wiki, book, books, library,
