1. The Semantic Web and The Web Of Commerce The Semantic web has the potential be completely disruptive or completely opportune to online commerce. Barbara Starr Email: bstarr@Ontologica.us Twitter: @BarbaraStarr

3. Disruptive Innovation A disruptive innovation is an innovation that disrupts an existing market. The term is used in business and technology literature to describe innovations that improve a product or service in ways that the market does not expect, typically by lowering price or designing for a different set of consumers. In contrast to "disruptive" innovation, a "sustaining" innovation does not have an effect on existing markets. Sustaining innovations may be either "discontinuous"[1] (i.e. "transformational") or "continuous" (i.e. "evolutionary"). Transformational innovations are not always disruptive. Although the automobile was a transformational innovation, it was not a disruptive innovation, because early automobiles were expensive luxury items that did not disrupt the market for horse-drawn vehicles. The market for transportation essentially remained intact until the debut of the lower priced Ford Model T in 1908 by making higher speed, motorized transportation available to the masses.[2]

4. Disruptive innovation The Theory Christensen defines a disruptive innovation as a product or service designed for a new set of customers. Christensen argues that disruptive innovations can hurt successful, well managed companies that are responsive to their customers and have excellent research and development. These companies tend to ignore the markets most susceptible to disruptive innovations, because the markets have very tight profit margins and are too small to represent significant growth.[5]

5. What is the Semantic Web Semantic web synonymous with Web 3.0 ? Semantic meaning Putting structured information into the web in some machine readable format Not about the relationships between links, but about relationship between things, and the properties of those things A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities By Tim Berners-Lee, James Hendler and Ora Lassila

6. What is the Semantic Web (cont) “The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF)” World Wide Web Consortium http://www.w3.org/2001/sw/

7. RDF - Triples RDF (Resource Description Framework) A resource is anything you want to describe. An RDF triple contains a subject, predicate, and object. e.g David Michael knows object subject predicate boy Michael is-a object subject predicate

8. RDF - Triples David Michael knows object subject predicate boy Michael is-a object subject predicate translates into (michael knows David) (michael is-a boy) and we can infer with the right ontology & inferencing mechanism (michael is-a person)

9. (michael knows David) (michael is-a boy) (michael is-a person) RDF - Triples Triple store Or Web 3.0 database

10. Linked Data Cloud

11. Wikipedia Definition of anOntology In computer science and information science, an ontology is a formal representation of the knowledge by a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to describe the domain. In theory, an ontology is a "formal, explicit specification of a shared conceptualization".[1] An ontology provides a shared vocabulary, which can be used to model a domain — that is, the type of objects and/or concepts that exist, and their properties and relations.[2] Ontologies are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. Not restricted to a hierarchical structure as with a taxonomy

12. Ontologies OWL – Web Ontology Language (OWL 2.0 released) RDFS – RDF Schema Some existing standards ontologies: FOAF - Friend of a Friend - for social networks SIOC - Semantically Interlinked Online Communities Goodrelations for e-commerce Geodata Upper Level Ontology FOAF - Friend of a Friend - for social networks SIOC - Semantically Interlinked Online Communities Google Ontology …..

13. 13

14. RDFa RDFa is simply RDF in attributes. It adds a set of attribute level extensions to HTML, enabling rich metadata to be embedded within web pages. It not only enables triples to be embedded in web pages but also ultimately enables the extraction of triples In short, this is the means by which we add structured markup to web pages

15. SPARQL SPARQL is an RDF Query Language. It is a recursive acronym and stands for SPARQL Protocol And RDF Query Language. Information from linked Datasets can be accessed via SPARQL queries. Most linked data sources provide SPARQL ENDPOINTS to enable access. A SPARQL endpoint - provides access to its data via supported SPARQL protocol

16. To cut a loooong story short: We go from: a web of documents or hyperlinks, to: a web of data or semantic links with: linked data and linked datasets. We use RDF to represent the data on the web and we use SPARQL to query the data And RDFa is simply RDF in attributes.

17. Core Concepts: Not that we have forgotten about: RDFS (RDF Schema) OWL (Web Ontology Language) & then in summary RDF (central to all) Linked Data SPARQL RDFa (simply stated as it is html markup)

18. So at this point either your head is spinning or You are bored to death because you already know about the semantic web zzzzzzz zzzz

19. SO … - How is this being used?- What is the extent of adoption- Who is using it?- How can it be leveraged?

20. LOD Cloud Evolution The rate of growth has been remarkable Source maintained by: Richard Cygniak and AnjaJentsch. http://lod-cloud.net

21. Oct 2007

22. Nov 2007 (1)

23. Nov 2007 (2)

24. Feb 2008

25. Mar 2008

26. Sept 2008

27. Mar 2009 (1)

28. Mar 2009 (2)

29. March 5 - 2009

30. March 27 - 2009

31. July 14 - 2009

32. Sept 22 - 2010

33. LOD cloud – Sept 22 2010 latest LOD cloud

34. Adopters? UK Government US Government BBC (FIFA world cup site dynamically generated using linked data) Thomson Reuters Freebase NY Times Best Buy Tesco Google (More to follow http://rdf.data-vocabulary.org/#) Yahoo Facebook Oracle Tons more – Just look at the diversity in the LOD data cloud …….

35. Semantic Web to Date Semantic Search

36. What is Semantic Search Semantic Search is basically the notion of improving search by using metadata or searching on that metadata. There are several ways that the Search engines on the web may use this to enhance search results. FIND, rather than SEARCH. Searching directly on the metadata directly can yield specific answers or results as demonstrated in the following example: Query “Barack Obama Birthday” Results on

37. Definitive Answer on Top

38. Bing Definitive Answer Note: Freebase part of Metaweb acquisition by Google

40. Bingleveraged this for quite some time Definitive answer & enhanced display

41. What is Semantic Search (cont) Semantic Search is basically the notion of improving search by using metadata or searching on that metadata. There are several ways that the Search engines on the web may use this to enhance search results. FIND, rather than SEARCH. Searching directly on the metadata directly can yield specific answers or results as demonstrated in the following example: Ran the query “Barack Obama Birthday” on both google, and bing. Obtained the following: Answer engines rather than Search Engines? At this point really, a definitive answer followed with the standard search result set for that query

42. What is Semantic Search (Cont) Semantic Search is basically the notion of improving search by using metadata or searching on that metadata. There are several ways that the Search engines on the web may use this to enhance search results. FIND, rather than SEARCH. Another aspect of using metadata such as embedding metadata or semantic markup in web pages could be demonstrated by enhanced displays in search results (e.g. rich snippets in google). Both Google and Yahoo support enhanced displays for RDFa markup.

43. Rich Snippets Google now supports Rich snippets for People Events Businesses and organizations Reviews Recipes Products Breadcrumbs Local Search Video images http://rdf.data-vocabulary.org/#

44. Rich Snippets Google now supports Rich snippets for People Events Businesses and organizations Reviews Recipes Products Breadcrumbs Local Search http://rdf.data-vocabulary.org/#

47. RDFa for videos

48. October 26, 2009

49. Events Mar 12, 2010

50. 50 Recipes April 13, 2010

51. FacebookOpengraph protocol based on RFDa April 20, 2010 Enables “semantic Profiling” of users

52. April 26, 2010

53. July 16, 2010

54. Sept 2, 2010

55. Sept 22, 2010

56. The Demise of Searchmonkey

57. 57 Nov 2, 2010 Products now “findable” (more to follow)

58. Google acquires Metaweb (freebase)

59. Google Refine Nov, 2010

60. Yahoo fully supported RDFafor enhanced displays

61. Social Networks While search engines can benefit from access to social networks, social networks can benefit from semantic metadata in web pages Example is Facebook’s Open Graph Protocol (also supports RDFa) which allows users to share & like objects (such as products) as opposed to web pages. Enables “Semantic Profiling” of the users by facebook.

63. Definitive answers enabled by understanding and leveraging how search engines are searching directly on metadata

64. Embedding semantic markup in web pages and product pages ultimately makes information “findable” by search engines, enabling them to provide improvements such as definitive answers, enhanced displays, etc

66. What can we do with RDFa? Produce RDFa Consume RDFa Build smart applications with consumed RDFa as we now have a triple store and all the reasoning and decision making tools such as those provided by allegrograph

67. Google Ontology

68. Google Ontology

69. Facebook Ontology

70. http://www.overstock.com/Clothing-Shoes/Grane-Womens-Double-breasted-Military-Coat/5237784/product.html

71. Consumed RDFa

73. Jans will demonstrate how to navigate this in allegrograph to ensure relationships set correctly re: nested divs, etc

74. Services or products

75. Consuming multiple microformats

76. LOD meets LOC

77. LOD meets LOC

78. LOD meets LOC

79. 1. Optimized RDFa in all pages that - serves Google Rich Snippets - serves Yahoo SearchMonkey - is GoodRelations valid - is accessible to all client-side browser extensions (there will be a lot of such services soon, believe me) - is perfect for any semantics-aware search engines so that overstock.com offers are visible

80. 2. Novel recommender systems based on GoodRelations I have quite a lot of novel approaches for GoodRelations-based recommender systems (in-site), which would be very useful for consumer electronics and fashion, in particular. 3. Precision E-Commerce Content Syndication Soon, owners of small sites will be able to syndicate very specific e-commerce content based on GoodRelations (same as currently supported by eBay and Amazon, but then across the whole WWW). We have a prototype for this already running, it could be a great new direction for overstock. (besides the positive buzz about it).

81. http://www.nytimes.com/2010/11/25/technology/personaltech/25smart.html?src=busln Myriad of competitive shopping apps already out there, but always room for one more?

82. How is this potentially disruptive The hypothesis: Possible New Consumer market. Good for mama & papa Shops and small business. Also for Overstock. Data exposed that may be lost if only consumed by larger users e.g. google Mama & Papa Online Store Shoppers RDFa Random Shopper Semantic GR based Shopping apps Web of data – LOC cloud Semantic GR based Shopping apps Semantic GR Based apps -

83. In the meantime No longer Beta Help sell on google

84. Where do we go from here? Other means of supplying gr markup http://www.jarltech.de is exposing its full catalog with ca. 4,000 auto-ID products in RDF/XML (updated several times a week!) (not as silly as I first thought) http://www.jarltech.de/goodrelations.rdf

85. Other Verticals within retail New Vertical Markets Automative (Large automotive manufacturer recently adopted GR : announcement coming soon) Financial Fashion Real Estate Tickets Electronics

86. Break Barbara Starr Email: bstarr@Ontologica.us Twitter: @BarbaraStarr

88. Fodder for further thought BBYOPEN API is primarily focused on delivering fairly unstructured XML and JSON (not semantic) for developer consumption. My focus has been taking those APIs and putting additional structure around them with vocabularies like GoodRelations. While my primary focus has been RDFa, I am pushing the project owners to also develop an RDF model and public facing SPARQL endpoint. :-) On Nov 23, 4:45 pm, Marco Neumann <marco.neum...@gmail.com> wrote: Last week at the Lotico Semantic Web event in New York Jay Myers gave us an interesting glimpse into the world of enterprise software developers and their application of Semantic Web technologies. And is indeed a very promising effort for a global retailer like Best Buy I believe. You can find Jay's slides here: http://www.lotico.com/index.php/How_Best_Buy_is_using_the_Semantic_We... I would like to kick off the discussion with a question: Jay does the BBYOPEN API also support RDF or do you primarily focus on RDFa? Marco -- Marco Neumann KONA

89. Brand Goodrelations version: <span rel="gr:hasManufacturer"> <span about="#canon” typeof="gr:BusinessEntity"> <span property="gr:legalName"> Canon Inc.</span></span> Google Version <span itemprop="brand"> <h1 class="productName">SanDisk 16GB Secure Digital SD/ SDHC Memory Card</h1> </span>

90. According to a recent report published by Forrester Research and Akamai, two seconds is the new threshold in terms of an average online shopper’s expectation for a web page to load. Other research conducted by Google and Microsoft revealed that a delay of only a half second can cause increased shopping cart abandonment rates, higher bounce rates, fewer pages per visit, and reduced revenue per site visitor. With consumers expected to spend $32.4 billion online this season, retailers are under even more pressure to ensure that their sites perform over the next few months. While more retailers were offering online deals this year on Black Friday, it should be interesting to see how retail sites perform on Cyber Monday, which is one of the most trafficked online spending days of the year. You can access WatchMouse’s full list here.