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p.p.t on semantic web , in this ppt the working of semantic web over today's current web is described with its advantages
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- 1. RAJKIYA ENGINEERING COLLEGE, AMBEDKAR NAGAR (737) (DEPARTMENT OF INFORMATION TECHNOLOGY) A Colloquium presentation on Semantic Web Under the supervision of Mrs.Shashi Prabha Anan Submitted By: Kanchan Roll no.1573713013 Submitted to: Miss Anamika Srivastava (Asst. Professor)
- 2. Contents Introduction Today’s web Limitations of web 2.0 Semantic Web Working Example Advantages Conclusion References
- 3. A PROPOSED DEVELOPMENT OF WORLD WIDE WEB
- 4. Web The Web is a system of interlinked documents accessed via the internet. Computers use network protocols to communicate in networks. Web browsers use HTTP to communicate with Web servers.
- 5. Semantics Semantics is related to the word “syntax”. BUT Syntax is how to say something and semantics is the meaning behind what you say.
- 6. Web 2.0 Web 2.0 :- Web 2.0 describes World Wide Web websites that emphasize user-generated content and usability (ease of use , even by non-experts) for end users. Example:- You Tube , social networking sites such as facebook etc.
- 7. Today’s scenario of web....... Most of the Web content is suitable for human use. Information seeking, publishing, and using, searching for people and products, shopping, reviewing catalogues, etc. Dynamic pages generated based on information from databases but without original information structure found in databases. 7
- 8. Limitations of the web search today The Web search results are high recall , low precision. Results are highly sensitive to vocabulary. Results are single Web pages. Most of the publishing contents are not structured to allow logical reasoning and query answering.
- 9. Reason behind searching an alternative of web 2.0 In web 2.0 , web pages are written in HTML . HTML describes the syntax not the semantics . If computer can understand the meaning behind information……….. They can learn what we are interested in…… They can help us better find what we want… AND This is really what the Semantic Web is all about.
- 10. The Semantic Web “The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in co-operation.“ 10
- 11. ………… Today’s web is about documents but semantic web is about things . It can recognize people , places , events , companies , products , movies ,etc . It can understand the relationships between things .
- 12. Semantic web includes…
- 13. Working The Semantic web proposes to help computers “read” and use the web. The big idea is pretty simple –Metadata added to web pages can make the existing World Wide Web machine readable . This won’t make computers self- aware , but it will give machines tools to find , exchange and , to a limited extent , interpret information .
- 14. AN EXAMPLE TO UNDERSTAND THE SEMANTIC WEB Suppose, you want to watch a movie and grab something to eat. You like an Action movie and Italian food. Now , you perform a search for movie theaters , and restaurants . In this phenomenon , you spend half an hour doing the planning . THIS IS HOW THINGS WORK TODAY. The next generation of the web will change How things work .
- 15. ………… Semantic web will make search task faster and easier by making searches more personalized. AS: You could enter ” I want to watch an action movie and then want to have a dinner at an Italian Restaurant . ” And , the semantic web will display the results for you. The Semantic web will act as a Personal Assistant.
- 16. Advantages Semantic web will make search tasks faster and easier . Semantic web will make searches , more personalized . Semantic web browser will act as a personal assistant .
- 17. Conclusion The Semantic Web is an initiative that aims at improving the current state of the World Wide Web.
- 18. References https://www.google.co.in/webhp?sourceid=chrome- instant&ion=1&espv=2&ie=UTF-8#q=semantic+web https://en.wikipedia.org/wiki/Semantic The.mit.press.semantic web (pdf)
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Introduction To Semantic Web
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This PowerPoint presentation briefly overviews the semantic web by covering its introduction, foundation, entities and ontologies, impact, and benefits. In this Semantic Web PowerPoint Presentation, we have covered the semantic web architecture, its working, standards of the semantic web, knowledge graph, and semantic metadata. In addition, this Semantic Web Ontology PPT contains the Markups and standards that help create semantic meta-statements, standards, and rules. Also, the Semantic Web Principles PPT presentation includes the principles and layers, everything that can be identified by URIs, resources, related links and their types, partial information, and so on. Moreover, the Semantic Web Standards deck comprises business benefits of the semantic web, the relationship of the semantic web with Machine Learning, Artificial Intelligence, and other technologies. Furthermore, this Semantic Search template caters to an overview of the semantic search mechanism and importance, the growth of semantic search, steps to obtain semantic searchs benefits, and its advantages to digital marketers. It also includes a timeline and a roadmap for semantic web development. Download our 100 percent editable and customizable template, which is also compatible with Google Slides.
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Slide 1 : This slide displays the title Semantic web (IT). Slide 2 : This slide displays the title Agenda for semantic web. Slide 3 : This slide exhibit table of content. Slide 4 : This slide exhibit table of content- Overview of semantic web. Slide 5 : This slide represents the introduction to semantic web technology that makes internet data machine-readable. Slide 6 : This slide talks about the basis of semantic web technology, and it includes Web 1.0 and Web 2.0. Slide 7 : This slide talks about the motivation behind the semantic web to enable machines to understand data. Slide 8 : This slide gives an overview of entities and ontologies, including their importance to the semantic web. Slide 9 : This slide represents how the semantic web adds meaning to information on the web so that it can only provide accurate results to user queries. Slide 10 : This slide describes the benefits of semantic web services that allows information exchange between computer and humans. Slide 11 : This slide exhibit table of content- Semantic web architecture and working. Slide 12 : This slide represents the semantic web technology architecture overview by showcasing various layers of it. Slide 13 : This slide represents the working of semantic web technology on the internet, and it also includes how it is a supplement to the web and not a replacement for it. Slide 14 : This slide exhibit table of content- Standards apply to the semantic web. Slide 15 : This slide represents the resource description framework overview that helps define the data about the information. Slide 16 : This slide outlines the overview of SPARQL, which is a graph database analytics protocol and declarative programming language. Slide 17 : This slide depicts the overview of web ontology language. Slide 18 : This slide exhibit table of content- Semantic metadata and knowledge graphs. Slide 19 : This slide describes how semantic metadata caters to semantic tags on the existing web pages for better understanding. Slide 20 : This slide depicts the overview of knowledge graphs which are the next level of the semantic web, and they bring semantic web prototype to the workplace. Slide 21 : This slide exhibit table of content- Markups and standards that help create semantic meta-statements, standards, and rules. Slide 22 : This slide represents the markups and standards that help create semantic meta-statements, standards, and rules. Slide 23 : This slide exhibit table of content- Semantic web main principles and layers. Slide 24 : This slide represents the first principle of the semantic web, that is, everything can be identified by Universal Resource Identifier (URI). Slide 25 : This slide depicts the second principle of the semantic web, which is resources and links can have types that are not available on the existing internet. Slide 26 : This slide depicts the partial information is tolerated principle of the semantic web. Slide 27 : This slide explains there is no need for the absolute truth principle of the semantic web. Slide 28 : This slide represents the fifth principle of the semantic web that is evolution is supported and provides tools to eliminate ambiguities and resolve discrepancies. Slide 29 : This slide talks about the sixth principle of the semantic web, which is a minimalist design that makes complex tasks easy. Slide 30 : This slide represents the overview of semantic web layers. Slide 31 : This slide exhibit table of content- Semantic web business benefits. Slide 32 : This slide outlines the benefits of the semantic web to businesses. Slide 33 : This slide represents the business benefits of semantic web to enhance their revenue by providing more user-friendly internal navigation to the users. Slide 34 : This slide talks about the better conversion rates through semantic site search. Slide 35 : This slide represents how publishers can use the semantic web on their websites for a better conversion rate. Slide 36 : This slide exhibit table of content- Semantic web with ML, AI and other technologies. Slide 37 : This slide talks about the relationship between machine learning and artificial intelligence, which are components of data science. Slide 38 : This slide talks about the distinction between the semantic web with other technologies. Slide 39 : This slide exhibit table of content- Overview of semantic search. Slide 40 : This slide represents the overview and importance of semantic search mechanisms that understand the intent of the user’s query. Slide 41 : This slide talks about the growing applications of semantic search in recent years. Slide 42 : This slide describes the six steps to obtain the semantic search’s benefits. Slide 43 : This slide describes the benefits of semantic search technology to digital marketers. Slide 44 : This slide exhibit table of content- Timeline for semantic web deployment. Slide 45 : This slide represents the timeline for semantic web deployment and development, including the steps to be performed at each month’s interval. Slide 46 : This slide exhibit table of content- Roadmap for semantic web deployment. Slide 47 : This slide represents the roadmap for semantic web deployment and development, including the steps to be performed at each month’s interval. Slide 48 : This is the icons slide. Slide 49 : This slide presents title for additional slides. Slide 50 : This slide display How did semantic search come about? Slide 51 : This slide represents the implementation challenges of semantic web technology. Slide 52 : This slide exhibits yearly timeline of company. Slide 53 : This Column chart display for two different products. Slide 54 : This Line chart display for two different products. Slide 55 : This slide display Circular process. Slide 56 : This slide depicts posts for past experiences of clients. Slide 57 : This slide display 30 60 90 days plan. Slide 58 : This slide display Mind map. Slide 59 : This slide shows puzzle for displaying elements of company. Slide 60 : This slide display Venn. Slide 61 : This is thank you slide & contains contact details of company like office address, phone no., etc.
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Semantic Web
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This presentation includes introductory concepts of Semantic Web and why it is important.
- 1 Table of contents Introduction History Why the technology is used How the technology is used Conclusion References
- 2 Introduction What is Semantic Web?? Semantic = meaning Semantic web = meaning + web Web + Data base + Knowledge Representation O extension of the current web technology O a web where the focus is placed on the meaning of words O a metadata based infrastructure [1]Semantic Web is a group of methods and technologies to allow of machines to understand the meaning or "semantics" information on the World Wide Web. The term was coined by World Wide Web Consortium (W3C) director Tim Berners-Lee. He defines the Semantic Web as "a web of data that can be processed directly and indirectly by machines.'
- 3 Example Semantic Web Search Web Ct tee • tsa e:tntl tto Vs Normal Web Search Wes 9te9tn of tie Wes fitf:trtdi'ti ita it m"itg it IDC Sernnic Web Somwf€ Web thit dr.) tq cormrf.f Serpx•kic Web Wes ktyly be6n to fie If we search keyword semantic web in Google, it show all links (sites) But in a semantic web search ,you get definition of "Semantic Web" with relevant links
- 4 [2] Web Updates Web 1.0 - Web Browser driven - started with handwritten HTML pages Web 2.0 - Web Services based API driven - started with machine generated and active HTML pages - direct human processing (reading, browsing, form- filling) - web of links Web 3.0 Web 2.0 Web 1.0 PC ERA esemantic web Wide web gesktop
- 5 Web 3.0 - development and deployment of Data Model driven composite applications - aims at machine processable information - web of meaning (semantic web)
- 6 Today: Rich Information Source for Human Manipulation/lnterpretation Dr. Deborah L. McGuinness - Microsoft Internet Explorer 8F0.narn Human Human Find a flight ut a gun' amd ten tu tn pur Deborah the zssociat& lese-re. Mie ot the Knonledge Systems Laboratorv ford She has in knovul*dge environments tor onto!ogy Cie and She has built and deployed numerous nmen& and applications, including some that haug in continuous use tor decade and Lucent ontology euolution environment trom Stantorci L!niuersit-g and is also a desmiption logiosÄerns- CLASSIC from Seli Journll SEWEB: • Committ:ee ghe is co released DARPA agent mgrkup hold; patent-in Mntiguatiöh and ontologies. and has t•een an inuited She has consulting business that n build a rnaintain ontoiogies and She is on the adriscrv board tor O and Poowermakeå, is also on the exe eutiue council for the Arne(ioan essoc:iatiQn of Artitioial steering board tor the organization f cr d Ontology Inferentæ Layer and the editorial board 01 the international htt ETna - The Role of Frame-Based Representation on the Semantic Web Ota 1_— & W W • Tri* u •a Wai •S Frame—based Representation Svstemg _ turn n 'W L..ee.æe.g—l— Usa2il i' Oueii •t quinnemunt•jr,•. detail'S des rra•v "*k, A CLASSIC • • Liz." • in . a a desqiø•— is irrwl•rnmi Semantic Web Workshop (SWWS) International Semantic Web Workshop (SWWS) Infrastructure and Applications G.r the Semantic Web NOKIA CONNECMNG PEOPLE network Human Human
- 7 Tomorrow: Rich Information Source for Manipulation/lnterpretation Age nt 8F0.narn •Dr. Deborah L. McGuinness is the xssoci•te Microsoft Internet Explorer ghe is ih released DARPA agent ma*up Human A ent Usa2il i' Oueii •t quinnemunt•jr,•. detail'S des rra•v "*k, Find a flight ut a gun' amd ten tu tn pur em L..ee.æe.g—l— Nientih 't the Knm,wedge Systems Laboratorv at Sta f rd Eh a has no*ing in knovuledga enuironmants ontology ation and maintenance for 20 years She has buiit and depioved numerous nmen}s and appiications. including some that haue been in continuous use a decade and Lucent ontology evolution environment trom Stanford Uniuesit-y and is aiso s co- description logiosÄems- CLASSIC trom Journll SEWEB: • Committ:ee "Web papers. holds t.æténtsin eonfiguætion and ontologies. and has an inuited speaker at many She has consulting business that maintain large ontologies and She is on the adrisory beard on the executiue couneii for the American Of Artfic:ial steering board tna inte Layer e#ort. and the editorial boaid 01 the intemationai ht-t Ia.'dlm ETna - The Role of Frame-Based Representation on the Semantic Web Ota 1_— & W W • Tri* u •a Wai •S Frame—based Representation Svstemg 'urn m 'W A CLASSIC • • Liz." • in . a a desqiø•— is irrwl•rnmi Semantic Web Workshop (SWWS) International Semantic Web Workshop (SWWS) Infrastructure and Applications G.r the Semantic Web NOKIA CONNECMNG PEOPLE network
- 8 [3]History 'In 1989 URIs(when invention of web) 'In 1997 W3C standardization of XML starts •In 1998 W3C standardization of SW starts "Work on Resource description framework(RDF), Work on RDF Schema(RDFS)" 'In 1999 Research projects on web ontologies "start EU:On-T0-Knowledge & 'In 2001 W3C Semantic Web Standardization: " Work on Web Ontology Language(OWL)" 'In 2004 RDF,OWL become W3C recommendation
- 9 Goal 'Intelligent search instead of keyword matching 'Query answering instead of information retrieval 'Document exchange among departments via ontology mappings 'Definition of customized views on document 'Fast 'Correct results 'Representation of results
- 10 [4]Why is there a need for the semantic web and what will it provide ' Today, we have problems in accessing and processing the available information — Searching for information Extracting information Presenting information/Maintenance Automatic document generation
- 11 Cont.. Semantic web will provide machine-understandable semantics(intelligent search, query answering etc.) Achieving such a semantic web requires — languages and terminologies — tools and architectures — realizing applications
- 12 How the semantic web will be possible layered architecture that tell about technologies behind semantic web XML URI Trust Proof Logic framework Rules Ontology RDF Schema RDF Namespaces Unicode Still experimental Standardization in progress Fully Standardized
- 13 Cont„ [5]Components are: Unicode standard for computer character representation URI (Uniform Resource Identifier) a web identifier like strings starting with http or ftp XML: Provide additional information about the text Is content specific as opposed to presentation specific tags
- 14 Cont.. Resource Description Framework: 'A standard for web metadata developed by W3c 'Suitable for describing web resources 'Provides interoperability 'Adds a simple data model on top of XML 'Provides three elements: objects,properties,and value of properties Problem with RDF •Not given any special meaning to vocabulary such as type(inheritance) RDF Schema: 'Also known as RDF Vocabulary Description Language sub-Class-Of or 'Definition of classes, inheritance hierarchies for classes and properties 'Domain and range restrictions for properties
- 15 Cont.. RDF Schema: Also known as RDF Vocabulary Description Language Definition of classes, inheritance hierarchies for classes and properties Domain and range restrictions for properties Problem with RDFS No transitive, inverse or symmetrical ( Is Part of,has Part) ' Ontology (Web Ontology Language: OWL) — Built on top of RDF Have more vocabulary OWL is for processing information on the web give the exact description of things and their relationships
- 16 Cont.. OWL has three sublanguages: OWL Lite OWL DL (includes OWL Lite) OWL Full (includes OWL DI) can make by Ontology editors (Protégé,Ontolingua,Chamera) For ex. We create ontology by protégé - used to define classes and class hierarchies, slots and slot value relationship between classes, and properties of these restrictions, relationships
- 17 aOntology1298048238109.owl (http:/fwww.semanticweb.org/ontologies/2011/1/Ontology1 298048238109.owl) - and Settingslstuden... Edit Ontologies Reasoner Tools Refactor Tabs View Wndow Help (http: $$vvww.semanticvveb.orgontüIogiest2ü11 $1 'Ontologyl 2431.1482381 Cig .owl) Activa Ontology Entities Classes Object Properties Data Properties Individuals Class hierarchy: disease disease 'communicable OChicken_Pok enonconmunicable OßLViz DL auery OALViz: disease Asserted model Thing 0 30 Ä Inferred model communicable disease noncommunicable Chicken Pox AIDS
- 18 Continue . Logic and Proof: •an reasoning system provided on top of the ontology structure to make new inferences •using such a system, a software agent can make deductions as to whether a particular resource satisfies its requirements (and vice versa) Trust: vision of allowing people to ask questions about trustiness of web
- 19 Tools for Information Access and navigation First Generation — Keywords used in free text retrieval system no ability to extract the meaning from the word or root stem not capable of understanding similar words ,the meaning of the words or sentence. Ex tools are web site "Search" tools and "find "option in MS Office Second Generation - Statistical Forecasting Ex calculate frequency and distance of keyword capable of understanding similar words can't understand the meaning of the words or sentence. tool is "Google"
- 20 Third Generation - Natural Language Processing focus on the structure of language in this words in each sentence have a different role than others e.g. "man bites dog" is different from "dog bites man" Ex Tools are translator programs to convert words and language-specific grammar to convert source to target languages. Fourth Generation — Semantic Web Architecture and Applications Architecture is automated conversion and storage of unstructured text sources in a semantic web database applications automatically extract and process the concepts and context in the database in a range of highly flexible tools.
- 21 Semantic Web Tools Online Registry DAML Ontology Library Schema Web Search Engine OSwoogle OSemantic Web Search Editor 0 Protégé create publish Reasoner inference browse Managing instance Ontologies Browser QTabulator QArago OMspace QMagpie OHaystack update extend integrate Mapping Tools OFACT++ (DL) OF-OWL QCWM Triple store OONION UPROMPT OOntoMapper OOntoMerge OOntomorph 21 Jena (SPARQL) OI
- 22 Example We start with a book 'A DOCTOR ZHIVAGO FOR THE FAR EAST' THE INDEPENDENT Amitav Ghosh THE GLASS PALACE The magnificent, poignant, fascinating novel of three generations that starts in Mandalay .
- 23 A simplified bookstore data (dataset "A") ID ISBN 0-00-6511409-X Author id_xyz Name Title Publisher Year The Glass Palace id_qpr Homepage 2000 ID id_xyz ID id_qpr Ghosh, Amitav Publisher's name http://www.amitavghosh.com City Harper Collins London
- 24 1st: export your data as a set of relations The Glass Palace 2000 London Harper Collins a:title a:year a:city Ghosh, Amitav http://...isbn/000651409X öxsbeq a:author a:name a:homepage http://www.amitavghosh.com
- 25 Same book in French... AMITA/ GHOSH PAWS DES
- 26 C Traducteur 1 2 3 4 5 6 7 8 9 10 11 12 Another bookstore data (dataset Ghosh, Amitav ISBN 2020286682 Titre Le Palais des Miroirs Auteur Original ISBN 0-00-6511409-X ISBN 0-00-6511409-X $AII$ Nom Besse, Christianne
- 27 2nd. . export your second set of data http://...isbn/000651409X f:auteur f:nom Ghosh, Amitav Le palais des miroirs http://...isbn/2020386682 f:traducteur f:nom Besse, Christianne
- 28 3rd. The Glass Palace 2000 London Harper Collins a:name Ghosh, Amitav sta rt a:title a:year a:city merging your data http://...isbn/000651409X dox•xsxxet a:author a:homepage http //.. : .isbn/000651409X f:auteur Le palais des miroirs http://www.amitavghosh.com 4 http•//.. . .isbn/2020386682 f:nom Ghosh, Amitav f:traducteur f:nom Besse, Christianne
- 29 merging your data http://...isbn/000651409X The Glass Palace 2000 London Harper Collins a:name Ghosh, Amitav 3rd: start a:title a:year a:city dox•xsxxet a:author a:homepage http://www.amitavghosh.com Same http://...isbn/000651409X 4 f:auteur http•//.. URI! Le palais des miroirs . .isbn/2020386682 f:nom Ghosh, Amitav f:traducteur f:nom Besse, Christianne
- 30 3rd: start merging your data The Glass Palace 2000 London Harper Collins a:name Ghosh, Amitav a:title a:year a:city a:p_name a:author a:homepage http://www.amitavghosh.com http://...isbn/000651409X f:auteur f:nom Ghosh, Amitav f:original Le palais des miroirs http://...isbn/2020386682 f:traducteur f:nom Besse, Christianne
- 31 User can ask queries... User of "F" can ask queries like: "give me the title of the original" this information is not in the F ... but can be available by merging with A add some extra information to the merged data: a:author same as f:auteur both recognize as a "Person"
- 32 3rd revisited: use the extra knowledge http://...isbn/000651409X The Glass Palace 2000 London Harper Collins a:name f:nom Ghosh, Amitav a:title a:year a:city a:p_name Le palais des miroirs f:original http://...isbn/2020386682 a:homepage a:author f:auteur r:type http•//•• . .foaf/Person http://www.amitavghosh.com f:traducteur r:type f:nom Besse, Christianne -1
- 33 If user ask rich queries! User of "F" can now query: ' well... "give me the home page of the original's 'auteur"' The information is not in datasets "F" or A ... ...but can be retrieved by: merge "A" and F From this example we can say where is Semantic Web??? ? The Semantic Web allows technologies to make such integration possible
- 34 Application areas for Semantic Web Technologies Knowledge management B2C Web commerce B2B electronic business
- 35 Advantages is a complete database architecture, not only an application handle both structured and unstructured data is dynamic and automated support both human and machine intelligence systems
- 36 Conclusion O "Semantic Web Vision" - a future where: Web information has exact meaning Web information can be processed by computers Computers can integrate information from the web The Semantic web simple but powerful Standardized by W3C: RDF, RDFS, OWL Currently working on O Query -- SPARQL O Rules-SWRL, RIF O Web services - OWL-S, WSDL-S, SAWSDL
- 37 Cont... Semantics web make sense of search results based on context. It automatically recognize the concepts(classes) structuring the texts(domain). For instance, if you search for "election" a semantic search engine might retrieve documents containing the words "vote", "campaigning" and "ballot", even if the word "election" is not found in the source document.
- 38 References . ـعلممقهعقنلنحدكقعقنفععننحمعععنعميد Web 2. /http://www.w3schools.com
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Use the data on the Web the same way as we do with documents: be able to link to data (independently of their presentation); use that data the way I want (
The Semantic Web and. Digital Libraries. Eric Miller, W3C. DC 2004 / SILF 2004. Shanghai Library, Shanghai, China. 2004-10-13.
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6 Semantic Web Cont'd The term “Semantic Web” refers to W3C's vision of the Web of linked data. Semantic Web technologies enable people to create data stores on
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In addition, this Semantic Web Ontology PPT contains the Markups and standards that help create semantic meta-statements, standards, and rules.
semantic · web primer · Here you can download a powerpoint presentation for each chapter.
Lecture 1: Introduction to the Semantic Web ... between information content and presentation ... attributes from the information presented
Introduction What is Semantic Web?? ... The term was coined by World Wide Web Consortium (W3C) director Tim Berners-Lee. He defines the Semantic Web as "a web of