Kingsley Uyi Idehen's Weblog

What is URIBurner?

A service from OpenLink Software, available at: http://uriburner.com, that enables anyone to generate structured descriptions -on the fly- for resources that are already published to HTTP based networks. These descriptions exist as hypermedia resource representations where links are used to identify:

• the entity (data object or datum) being described,
• each of its attributes, and
• each of its attributes values (optionally).

The hypermedia resource representation outlined above is what is commonly known as an Entity-Attribute-Value (EAV) Graph. The use of generic HTTP scheme based Identifiers is what distinguishes this type of hypermedia resource from others.

Why is it Important?

The virtues (dual pronged serendipitous discovery) of publishing HTTP based Linked Data across public (World Wide Web) or private (Intranets and/or Extranets) is rapidly becoming clearer to everyone. That said, the nuance laced nature of Linked Data publishing presents significant challenges to most. Thus, for Linked Data to really blossom the process of publishing needs to be simplified i.e., "just click and go" (for human interaction) or REST-ful orchestration of HTTP CRUD (Create, Read, Update, Delete) operations between Client Applications and Linked Data Servers.

How Do I Use It?

In similar vane to the role played by FeedBurner with regards to Atom and RSS feed generation, during the early stages of the Blogosphere, it enables anyone to publish Linked Data bearing hypermedia resources on an HTTP network. Thus, its usage covers two profiles: Content Publisher and Content Consumer.

Content Publisher

The steps that follow cover all you need to do:

• place a tag within your HTTP based hypermedia resource (e.g. within section for HTML )
• use a URL via the @href attribute value to identify the location of the structured description of your resource, in this case it takes the form: http://linkeddata.uriburner.com/about/id/{scheme-or-protocol}/{your-hostname-or-authority}/{your-local-resource}
• for human visibility you may consider adding associating a button (as you do with Atom and RSS) with the URL above.

That's it! The discoverability (SDQ) of your content has just multiplied significantly, its structured description is now part of the Linked Data Cloud with a reference back to your site (which is now a bona fide HTTP based Linked Data Space).

Examples

HTML+RDFa based representation of a structured resource description:

<link rel="describedby" title="Resource Description (HTML)"type="text/html" href="http://linkeddata.uriburner.com/about/id/http/example.org/xyz.html"/>

JSON based representation of a structured resource description:

<link rel="describedby" title="Resource Description (JSON)" type="application/json" href="http://linkeddata.uriburner.com/about/id/http/example.org/xyz.html"/>

N3 based representation of a structured resource description:

<link rel="describedby" title="Resource Description (N3)" type="text/n3" href="http://linkeddata.uriburner.com/about/id/http/example.org/xyz.html"/>

RDF/XML based representations of a structured resource description:

<link rel="describedby" title="Resource Description (RDF/XML)" type="application/rdf+xml" href="http://linkeddata.uriburner.com/about/id/http/example.org/xyz.html"/>

Content Consumer

As an end-user, obtaining a structured description of any resource published to an HTTP network boils down to the following steps:

1. go to: http://uriburner.com
2. drag the Page Metadata Bookmarklet link to your Browser's toolbar
3. whenever you encounter a resource of interest (e.g. an HTML page) simply click on the Bookmarklet
4. you will be presented with an HTML representation of a structured resource description (i.e., identifier of the entity being described, its attributes, and its attribute values will be clearly presented).

Examples

• Description of a Book culled from an Amazon web page
• Description of a product offering culled from a BestBuy web page
• Description of a product (a camera) culled from a CNET web page
• Description of the same CNET product as an Offer on eBay (exposed by the description above via seeAlso property value).

If you are a developer, you can simply perform an HTTP operation request (from your development environment of choice) using any of the URL patterns presented below:

• curl -I -H "Accept: text/html" http://linkeddata.uriburner.com/about/id/{scheme}/{authority}/{local-path}

JSON:

• curl -I -H "Accept: application/json" http://linkeddata.uriburner.com/about/id/{scheme}/{authority}/{local-path}
• curl http://linkeddata.uriburner.com/about/data/json/{scheme}/{authority}/{local-path}

Notation 3 (N3):

• curl -I -H "Accept: text/n3" http://linkeddata.uriburner.com/about/id/{scheme}/{authority}/{local-path}
• curl http://linkeddata.uriburner.com/about/data/n3/{scheme}/{authority}/{local-path}

• curl -I -H "Accept: text/turtle" http://linkeddata.uriburner.com/about/id/{scheme}/{authority}/{local-path}
• curl http://linkeddata.uriburner.com/about/data/ttl/{scheme}/{authority}/{local-path}

RDF/XML:

• curl -I -H "Accept: application/rdf+xml" http://linkeddata.uriburner.com/about/id/{scheme}/{authority}/{local-path}
• curl http://linkeddata.uriburner.com/about/data/xml/{scheme}/{authority}/{local-path}

Conclusion

URIBurner is a "deceptively simple" solution for cost-effective exploitation of HTTP based Linked Data meshes. It doesn't require any programming or customization en route to immediately realizing its virtues.

If you like what URIBurner offers, but prefer to leverage its capabilities within your domain -- such that resource description URLs reside in your domain, all you have to do is perform the following steps:

1. download a copy of Virtuoso (for local desktop, workgroup, or data center installation) or
2. instantiate Virtuoso via the Amazon EC2 Cloud
3. enable the Sponger Middleware component via the RDF Mapper VAD package (which includes cartridges for over 30 different resources types)

When you install your own URIBurner instances, you also have the ability to perform customizations that increase resource description fidelity in line with your specific needs. All you need to do is develop a custom extractor cartridge and/or meta cartridge.

Related:

• Virtuoso Sponger Middleware -- (technology behind URIBurner Service)
• Animation demonstrating how the Virtuoso Sponger works.

Motivation for this post arose from a series of Twitter exchanges between Tony Hirst and I, in relation to his blog post titled: So What Is It About Linked Data that Makes it Linked Data™ ?

At the end of the marathon session, it was clear to me that a blog post was required for future reference, at the very least :-)

What is Linked Data?

"Data Access by Reference" mechanism for Data Objects (or Entities) on HTTP networks. It enables you to Identify a Data Object and Access its structured Data Representation via a single Generic HTTP scheme based Identifier (HTTP URI). Data Object representation formats may vary; but in all cases, they are hypermedia oriented, fully structured, and negotiable within the context of a client-server message exchange.

Why is it Important?

Information makes the world tick!

Information doesn't exist without data to contextualize.

Information is inaccessible without a projection (presentation) medium.

All information (without exception, when produced by humans) is subjective. Thus, to truly maximize the innate heterogeneity of collective human intelligence, loose coupling of our information and associated data sources is imperative.

How is Linked Data Delivered?

Linked Data is exposed to HTTP networks (e.g. World Wide Web) via hypermedia resources bearing structured representations of data object descriptions. Remember, you have a single Identifier abstraction (generic HTTP URI) that embodies: Data Object Name and Data Representation Location (aka URL).

How are Linked Data Object Representations Structured?

A structured representation of data exists when an Entity (Datum), its Attributes, and its Attribute Values are clearly discernible. In the case of a Linked Data Object, structured descriptions take the form of a hypermedia based Entity-Attribute-Value (EAV) graph pictorial -- where each Entity, its Attributes, and its Attribute Values (optionally) are identified using Generic HTTP URIs.

Examples of structured data representation formats (content types) associated with Linked Data Objects include:

• text/html
• text/turtle
• text/n3
• application/json
• application/rdf+xml
• Others

How Do I Create Linked Data oriented Hypermedia Resources?

You markup resources by expressing distinct entity-attribute-value statements (basically these a 3-tuple records) using a variety of notations:

• (X)HTML+RDFa,
• JSON,
• Turtle,
• N3,
• TriX,
• TriG,
• RDF/XML, and
• Others (for instance you can use Atom data format extensions to model EAV graph as per OData initiative from Microsoft).

You can achieve this task using any of the following approaches:

• Notepad
• WYSIWYG Editor
• Transformation of Database Records via Middleware
• Transformation of XML based Web Services output via Middleware
• Transformation of other Hypermedia Resources via Middleware
• Transformation of non Hypermedia Resources via Middleware
• Use a platform that delivers all of the above.

Practical Examples of Linked Data Objects Enable

• Describe Who You Are, What You Offer, and What You Need via your structured profile, then leave your HTTP network to perform the REST (serendipitous discovery of relevant things)
• Identify (via map overlay) all items of interest based on a 2km+ radious of my current location (this could include vendor offerings or services sought by existing or future customers)
• Share the latest and greatest family photos with family members *only* without forcing them to signup for Yet Another Web 2.0 service or Social Network
• No repetitive signup and username and password based login sequences per Web 2.0 or Mobile Application combo
• Going beyond imprecise Keyword Search to the new frontier of Precision Find - Example, Find Data Objects associated with the keywords: Tiger, while enabling the seeker disambiguate across the "Who", "What", "Where", "When" dimensions (with negation capability)
• Determine how two Data Objects are Connected - person to person, person to subject matter etc. (LinkedIn outside the walled garden)
• Use any resource address (e.g blog or bookmark URL) as the conduit into a Data Object mesh that exposes all associated Entities and their social network relationships
• Apply patterns (social dimensions) above to traditional enterprise data sources in combination (optionally) with external data without compromising security etc.

How Do OpenLink Software Products Enable Linked Data Exploitation?

Our data access middleware heritage (which spans 16+ years) has enabled us to assemble a rich portfolio of coherently integrated products that enable cost-effective evaluation and utilization of Linked Data, without writing a single line of code, or exposing you to the hidden, but extensive admin and configuration costs. Post installation, the benefits of Linked Data simply materialize (along the lines described above).

Our main Linked Data oriented products include:

• OpenLink Data Explorer -- visualizes Linked Data or Linked Data transformed "on the fly" from hypermedia and non hypermedia data sources
• URIBurner -- a "deceptively simple" solution that enables the generation of Linked Data "on the fly" from a broad collection of data sources and resource types
• OpenLink Data Spaces -- a platform for enterprises and individuals that enhances distributed collaboration via Linked Data driven virtualization of data across its native and/or 3rd party content manager for: Blogs, Wikis, Shared Bookmarks, Discussion Forums, Social Networks etc
• OpenLink Virtuoso -- a secure and high-performance native hybrid data server (Relational, RDF-Graph, Document models) that includes in-built Linked Data transformation middleware (aka. Sponger).

Related

• Hypertext Transfer Protocol 1.1 RFC
• Open Data Protocol Glossary
• Simple Explanation of RDF and Linked Data Dynamics
• Collection of post from the past about Linked Data
• Are We There Yet Re. Web++? -- includes link to podcast conversation with Jon Udell
• Web of Linked Data Pivoting Demo from TED -- by Microsoft's Gary Flake
• Microsoft Pivot atop Virtuoso Quad Store's Faceted Browser Engine-- My Demonstration of EAV model transcending data representation variations (i.e., RDF's EAV data model data served up in Microsoft CXML data representation format).

Problem:

Your Life, Profession, Web, and Internet do not need to become mutually exclusive due to "information overload".

Solution:

A platform or service that delivers a point of online presence that embodies the fundamental separation of: Identity, Data Access, Data Representation, Data Presentation, by adhering to Web and Internet protocols.

How:

Typical post installation (Local or Cloud) task sequence:

1. Identify myself (happens automatically by way of registration)
2. If in an LDAP environment, import accounts or associate system with LDAP for account lookup and authentication
3. Identify Online Accounts (by fleshing out profile) which also connects system to online accounts and their data
4. Use Profile for granular description (Biography, Interests, WishList, OfferList, etc.)
5. Optionally upstream or downstream data to and from my online accounts
6. Create content Tagging Rules
7. Create rules for associating Tags with formal URIs
8. Create automatic Hyperlinking Rules for reuse when new content is created (e.g. Blog posts)
9. Exploit Data Portability virtues of RSS, Atom, OPML, RDFa, RDF/XML, and other formats for imports and exports
10. Automatically tag imported content
11. Use function-specific helper application UIs for domain specific data generation e.g. AddressBook (optionally use vCard import), Calendar (optionally use iCalendar import), Email, File Storage (use WebDAV mount with copy and paste or HTTP GET), Feed Subscriptions (optionally import RSS/Atom/OPML feeds), Bookmarking (optionally import bookmark.html or XBEL) etc..
12. Optionally enable "Conversation" feature (today: Social Media feature) across the relevant application domains (manage conversations under covers using NNTP, the standard for this functionality realm)
13. Generate HTTP based Entity IDs (URIs) for every piece of data in this burgeoning data space
14. Use REST based APIs to perform CRUD tasks against my data (local and remote) (SPARQL, GData, Ubiquity Commands, Atom Publishing)
15. Use OpenID, OAuth, FOAF+SSL, FOAF+SSL+OpenID for accessing data elsewhere
16. Use OpenID, OAuth, FOAF+SSL, FOAF+SSL+OpenID for Controlling access to my data (Self Signed Certificate Generation, Browser Import of said Certificate & associated Private Key, plus persistence of Certificate to FOAF based profile data space in "one click")
17. Have a simple UI for Entity-Attribute-Value or Subject-Predicate-Object arbitrary data annotations and creation since you can't pre model an "Open World" where the only constant is data flow
18. Have my Personal URI (Web ID) as the single entry point for controlled access to my HTTP accessible data space

I've just outlined a snippet of the capabilities of the OpenLink Data Spaces platform. A platform built using OpenLink Virtuoso, architected to deliver: open, platform independent, multi-model, data access and data management across heterogeneous data sources.

All you need to remember is your URI when seeking to interact with your data space.

Related

1. Get Yourself a URI (Web ID) in 5 Minutes or Less!
2. Various posts over the years about Data Spaces
3. Future of Desktop Post
4. Simplify My Life Post by Bengee Nowack

Now that the virtues of dynamic generation of RDF based Linked Data are becoming clearer, I guess it's time to unveil the Virtuoso Sponger driven Dynamic Linked Data constellation diagram.

Our diagram depicts the myriad of data sources from which RDF Linked Data is generated "on the fly" via our data source specific RDF-zation cartridges/drivers. It also unveils how the sponger leverages the Linked Data constellations of UMBEL, DBpedia, Bio2Rdf, and others for lookups.

RDF-ization is a term used by the Semantic Web community to describe the process of generating RDF from non RDF Data Sources such as (X)HTML, Weblogs, Shared Bookmark Collections, Photo Galleries, Calendars, Contact Managers, Feed Subscriptions, Wikis, and other information resource collections.

If the RDF generated, results in an entity-to-entity level network (graph) in which each entity is endowed with a de-referencable HTTP based ID (a URI), we end up with an enhancement to the Web that adds Hyperdata linking across extracted entities, to the existing Hypertext based Web of linked documents (pages, images, and other information resource types). Thus, I can use the same URL linking mechanism to reference a broader range of "Things" i.e., documents, things that documents are about, or things loosely associated with documents.

The Virtuoso Sponger is an example of an RDF Middleware solution from OpenLink Software. It's an in-built component of the Virtuoso Universal Server, and deployable in many forms e.g., Software as Service (SaaS) or traditional software installation. It delivers RDF-ization services via a collection of Web information resource specific Cartridges/Providers/Drivers covering Wikipedia, Freebase, CrunchBase, WikiCompany, OpenLibrary, Digg, eBay, Amazon, RSS/Atom/OPML feed sources, XBRL, and many more.

RDF-ization alone doesn't ensure valuable RDF based Linked Data on the Web. The process of producing RDF Linked Data is ultimately about the art of effectively describing resources with an eye for context.

RDF-ization Processing Steps

1. Entity Extraction
2. Vocabulary/Schema/Ontology (Data Dictionary) mapping
3. HTTP based Proxy URI generation
4. Linked Data Cloud Lookups (e.g., perform UMBEL lookup to add "isAbout" fidelity to graph and then lookup DBpedia and other LOD instance data enclaves for Identical individuals and connect via "owl:sameAs")
5. RDF Linked Data Graph projection that uses the description of the container information resource to expose the URIs of the distilled entities.

The animation that follows illustrates the process (5,000 feet view), from grabbing resources via HTTP GET, to injecting RDF Linked Data back into the Web cloud:

Note: the Shredder is a Generic Cartridge, so you would have one of these per data source type (information resource type).

The sweet spot of Web 3.0 (or any other Web.vNext moniker) is all about providing Web Users with a structured and interlinked data substrate that facilitates serendipitous discovery of relevant "Things" i.e., a Linked Data Web -- a Web of Linkable Entities that goes beyond documents and other information resource (data containers) types.

Understanding potential Linked Data Web business models, relative to other Web based market segments, is best pursued via a BCG Matrix diagram, such as the one I've constructed below:

Notes:

Link Density

• Web 1.0's collection of "Web Sites" have relatively low link density relative to Web 2.0's user-activity driven generation of semi-structured linked data spaces (e.g., Blogs, Wikis, Shared Bookmarks, RSS/Atom Feeds, Photo Galleries, Discussion Forums etc..)
• Semantic Technologies (i.e. "Semantics Inside style solutions") which are primarily about "Semantic Meaning" culled from Web 1.0 Pages also have limited linked density relative to Web 2.0
• The Linked Data Web, courtesy of the open-ended linking capacity of URIs, matches and ultimately exceeds Web 2.0 link density.

Relevance

• Web 1.0 and 2.0 are low relevance realms driven by hyperlinks to information resources ((X)HTML, RSS, Atom, OPML, XML, Images, Audio files etc.) associated with Literal Labels and Tagging schemes devoid of explicit property based resource description thereby making the pursuit of relevance mercurial at best
• Semantic Technologies offer more relevance than Web 1.0 and 2.0 based on the increased context that semantic analysis of Web pages accords
• The Linked Data Web, courtesy of URIs that expose self-describing data entities, match the relevance levels attained by Semantic Technologies.

Serendipity Quotient (SDQ)

• Web 1.0 has next to no serendipity, the closest thing is Google's "I'm Feeling Lucky" button
• Web 2.0 possess higher potential for serendipitous discovery than Web 1.0, but such potential is neutralized by inherent subjectivity due to its human-interaction-focused literal foundation (e.g., tags, voting schemes, wiki editors etc.)
• Semantic Technologies produce islands-of-relevance with little scope for serendipitous discovery due to URI invisibility, since the prime focus is delivering more context to Web search relative to traditional Web 1.0 search engines.
• The Linked Data Web's use of URIs as the naming and resolution mechanism for exposing structured and interlinked resources provides the highest potential for serendipitous discovery of relevant "Things"

To conclude, the Linked Data Web's market opportunities are all about the evolution of the Web into a powerful substrate that offers a unique intersection of "Link Density" and "Relevance", exploitable across horizontal and vertical market segments to solutions providers. Put differently, SDQ is how you take "The Ad" out of "Advertising" when matching Web users to relevant things :-)

ReadWriteWeb via Alex Iskold have delivered another iteration of their "Guide to Semantic Technologies".

If you look at the title of this post (and their article) they seem to be accurately providing a guide to Semantic Technologies, so no qualms there. If on the other hand, this is supposed to he a guide to the "Semantic Web" as prescribed by TimBL then they are completely missing the essence of the whole subject, and demonstrably so I may add, since the entities: "ReadWriteWeb" and "Alex Iskold" are only describable today via the attributes of the documents they publish i.e their respective blogs and hosted blog posts.

Preoccupation with Literal objects as describe above, implies we can only take what "ReadWriteWeb" and "Alex Iskold" say "Literally" (grep, regex, and XPath/Xquery are the only tools for searching deeper in this Literal realm), we have no sense of what makes them tick or where they come from, no history (bar "About Page" blurb), no data connections beyond anchored text (more pointers to opaque data sources) in post and blogrolls. The only connection between this post and them is the my deliberate use of the same literal text in the Title of this post.

TimBL's vision as espoused via the "Semantic Web" vision is about the production, consumption, and sharing of Data Objects via HTTP based Identifiers called URIs/IRIs (Hyperdata Links / Linked Data). It's how we use the Web as a Distributed Database where (as Jim Hendler once stated with immense clarity): I can point to records (entity instances) in your database (aka Data Space) from mine. Which is to say that if we can all point to data entities/objects (not just data entities of type "Document") using these Location, Value, and Structure independent Object Identifiers (courtesy of HTTP) we end up with a much more powerful Web, and one that is closer to the "Federated and Open" nature of the Web.

As I stated in a prior post, if you or your platform of choice aren't producing de-referencable URIs for your data objects, you may be Semantic (this data model predates the Web), but there is no "World Wide Web" in what you are doing.

What are the Benefits of the Semantic Web?

Consumer - "Discovery of relevant things" and be being "Discovered by relevant things" (people, places, events, and other things)

Enterprise - ditto plus the addition of enterprise domain specific things such as market opportunities, product portfolios, human resources, partners, customers, competitors, co-opetitors, acquisition targets, new regulation etc..)

Simple demo:

I am a Kingsley Idehen, a Person who authors this weblog. I also share bookmarks gathered over the years across an array of subjects via my bookmark data space. I also subscribe to a number of RSS/Atom/RDF feeds, which I share via my feeds subscription data space. Of course, all of these data sources have Tags which are collectively exposed via my weblog tag-cloud, feeds subscriptions tag-cloud, and bookmarks tag-cloud data spaces.

As I don't like repeating myself, and I hate wasting my time or the time of others, I simply share my Data Space (a collection of all of my purpose specific data spaces) via the Web so that others (friends, family, employees, partners, customers, project collaborators, competitors, co-opetitors etc.) can can intentionally or serendipitously discover relevant data en route to creating new information (perspectives) that is hopefully exposed others via the Web.

Bottom-line, the Semantic Web is about adding the missing "Open Data Access & Connectivity" feature to the current Document Web (we have to beyond regex, grep, xpath, xquery, full text search, and other literal scrapping approaches). The Linked Data Web of de-referencable data object URIs is the critical foundation layer that makes this feasible.

Remember, It's not about "Applications" it's about Data and actually freeing Data from the "tyranny of Applications". Unfortunately, application inadvertently always create silos (esp. on the Web) since entity data modeling, open data access, and other database technology realm matters, remain of secondary interest to many application developers.

Final comment, RDF facilitates Linked Data on the Web, but all RDF isn't endowed with de-referencable URIs (a major source of confusion and misunderstanding). Thus, you can have RDF Data Source Providers that simply project RDF data silos via Web Services APIs if RDF output emanating from a Web Service doesn't provide out-bound pathways to other data via de-referencable URIs. Of course the same also applies to Widgets that present you with all the things they've discovered without exposing de-referencable URIs for each item.

BTW - my final comments above aren't in anyway incongruent with devising successful business models for the Web. As you may or may not know, OpenLink is not only a major platform provider for the Semantic Web (expressed in our UDA, Virtuoso, OpenLink Data Spaces, and OAT products), we are also actively seeding Semantic Web (tribe: Linked Data of course) startups. For instance, Zitgist, which now has Mike Bergman as it's CEO alongside Frederick Giasson as CTO. Of course, I cannot do Zitgist justice via a footnote in a blog post, so I will expand further in a separate post.

Additional information about this blog post:

1. I didn't spent hours looking for URIs used in my hyperlinks
2. The post is best viewed via an RDF Linked Data aware user agents (OpenLink RDF Browser, Zitgist Data Viewer, DISCO Hyperdata Browser, Tabulator).

For all the one-way feed consumers and aggregators, and readers of the original post, here is a variant equipped hyperlinked phrases as opposed to words. As I stated in the prior post, the post (like most of my posts) was part experiment / dog-fodding of automatic tagging and hyper-linking functionality in OpenLink Data Spaces.

ReadWriteWeb via Alex Iskold's post have delivered another iteration of their "Guide to Semantic Technologies".

If you look at the title of this post (and their article) they seem to be accurately providing a guide to Semantic Technologies, so no qualms there. If on the other hand, this is supposed to he a guide to the "Semantic Web" as prescribed by TimBL then they are completely missing the essence of the whole subject, and demonstrably so I may add, since the entities: "ReadWriteWeb" and "Alex Iskold" are only describable today via the attributes of the documents they publish i.e their respective blogs and hosted blog posts.

Preoccupation with Literal objects as describe above, implies we can only take what "ReadWriteWeb" and "Alex Iskold" say "Literally" (grep, regex, and XPath/Xquery are the only tools for searching deeper in this Literal realm), we have no sense of what makes them tick or where they come from, no history (bar "About Page" blurb), no data connections beyond anchored text (more pointers to opaque data sources) in post and blogrolls. The only connection between this post and them is the my deliberate use of the same literal text in the Title of this post.

TimBL's vision as espoused via the "Semantic Web" vision is about the production, consumption, and sharing of Data Objects via HTTP based Identifiers called URIs/IRIs (Hyperdata Links / Linked Data). It's how we use the Web as a Distributed Database where (as Jim Hendler once stated with immense clarity): I can point to records (entity instances) in your database (aka Data Space) from mine. Which is to say that if we can all point to data entities/objects (not just data entities of type "Document") using these Location, Value, and Structure independent Object Identifiers (courtesy of HTTP) we end up with a much more powerful Web, and one that is closer to the "Federated and Open" nature of the Web.

As I stated in a prior post, if you or your platform of choice aren't producing de-referencable URIs for your data objects, you may be Semantic (this data model predates the Web), but there is no "World Wide Web" in what you are doing.

What are the Benefits of the Semantic Web?

Consumer - "Discovery of relevant things" and be being "Discovered by relevant things" (people, places, events, and other things)

Enterprise - ditto plus the addition of enterprise domain specific things such as market opportunities, product portfolios, human resources, partners, customers, competitors, co-opetitors, acquisition targets, new regulation etc..)

Simple demo:

I am a Kingsley Idehen, a Person who authors this weblog. I also share bookmarks gathered over the years across an array of subjects via my bookmark data space. I also subscribe to a number of RSS/Atom/RDF feeds, which I share via my feeds subscription data space. Of course, all of these data sources have Tags which are collectively exposed via my weblog tag-cloud, feeds subscriptions tag-cloud, and bookmarks tag-cloud data spaces.

As I don't like repeating myself, and I hate wasting my time or the time of others, I simply share my Data Space (a collection of all of my purpose specific data spaces) via the Web so that others (friends, family, employees, partners, customers, project collaborators, competitors, co-opetitors etc.) can can intentionally or serendipitously discover relevant data en route to creating new information (perspectives) that is hopefully exposed others via the Web.

Bottom-line, the Semantic Web is about adding the missing "Open Data Access & Connectivity" feature to the current Document Web (we have to beyond regex, grep, xpath, xquery, full text search, and other literal scrapping approaches). The Linked Data Web of de-referencable data object URIs is the critical foundation layer that makes this feasible.

Remember, It's not about "Applications" it's about Data and actually freeing Data from the "tyranny of Applications". Unfortunately, application inadvertently always create silos (esp. on the Web) since entity data modeling, open data access, and other database technology realm matters, remain of secondary interest to many application developers.

Final comment, RDF facilitates Linked Data on the Web, but all RDF isn't endowed with de-referencable URIs (a major source of confusion and misunderstanding). Thus, you can have RDF Data Source Providers that simply project RDF data silos via Web Services APIs if RDF output emanating from a Web Service doesn't provide out-bound pathways to other data via de-referencable URIs. Of course the same also applies to Widgets that present you with all the things they've discovered without exposing de-referencable URIs for each item.

BTW - my final comments above aren't in anyway incongruent with devising successful business models for the Web. As you may or may not know, OpenLink is not only a major platform provider for the Semantic Web (expressed in our UDA, Virtuoso, OpenLink Data Spaces, and OAT products), we are also actively seeding Semantic Web (tribe: Linked Data of course) startups. For instance, Zitgist, which now has Mike Bergman as it's CEO alongside Frederick Giasson as CTO. Of course, I cannot do Zitgist justice via a footnote in a blog post, so I will expand further in a separate post.

Additional information about this blog post:

1. I didn't spent hours looking for URIs used in my hyperlinks
2. The post is best viewed via an RDF Linked Data aware user agents (OpenLink RDF Browser, Zitgist Data Viewer, DISCO Hyperdata Browser, Tabulator).

Unfortunately, I could only spend 4 days at the recent WWW2008 event in Beijing (I departed the morning following the Linked Data Workshop), so I couldn't take my slot on the "Commercializing the Semantic Web panel" etc.. Anyway, thanks to the Web I can still inject my points of view in the broad Web based discourse. Well so I hoped, when I attempted to post a comment to Paul Miller's ZDNet domain hosted blog thread titled: Commercialising the Semantic Web.

Unfortunately, the cost of completing ZDNet's unwieldy signup process simply exceeded the benefits of dropping my comments in their particular space :-( Thus, I'll settle for a trackback ping instead.

What follows is the cut and paste of my intended comment contributions to Paul's post.

Paul,

As discussed earlier this week during our podcast session, commercialization of Semantic Web technology shouldn't be a mercurial matter at this stage in the game :-) It's all about looking at how it provides value :-)

From the Linked Data angle, the ability to produce, dispatch, and exploit "Context" across an array of "Perspectives" from a plethora of disparate data sources on the Web and/or behind corporate firewalls, offers immense commercial value.

Yahoo's Searchmonkey effort will certainly bring clarity to some of the points I made during the podcast re. the role of URIs as "value consumption tickets" (Data Services are exposed via URIs). There has to be a trigger (in user space) that compels Web users to seek broader, or simply varied, perspectives as a response to data encountered on the Web. Yahoo! is about to put this light on in a big way (imho).

The "self annotating" nature of the Web is what ultimately drives the manifestation of the long awaited Semantic Web. I believe I postulated about "Self Annotation & the Semantic Web" in a number of prior posts which, by the way, should be DataRSS compatible right now due to Yahoo's support of OpenSearch Data Providers (which this Blog Space has been for eons).

Today, we have many communities adding strucuture to the Web (via their respective tools of preference) without explicitly realizing what they are contributing. Every RSS/Atom feed, Tag, Blog post, Shared Bookmark, Wikiword, Microformat endowed page, or Microformat++ (eRDF or RDFa) endowed page, contributes to the rapidly growing structured data corpus on the Web.

Glady, the different communities are all finding ways to work together (thank heavens!) and the results are going to be cataclysmic when this all plays out :-)

Data, Structure, and Extraction are the keys to the Semantic Life! Along the following lines:

- First you get the Data in a container (information resource);

- then you add Structure to the container (at the data level) via RSS, Atom, microformats, RDFa, eRDF, SIOC, FOAF;

- with Structured data in place, RDFization (i.e. entity extraction and transformation to Linked Data) is simplified courtesy of RDF Middleware (e.g GRDDL processors).

Related

-- Prior posts about RDF middleware.

Via post by Daniel Lewis, titled:10 Reasons to use OpenLink Data Spaces

There are quite a few reasons to use OpenLink Data Spaces (ODS). Here are 10 of the reasons why I use ODS:

1. Its native support of DataPortability Recommendations such as RSS, Atom, APML, Yadis, OPML, Microformats, FOAF, SIOC, OpenID and OAuth.
2. Its native support of Semantic Web Technologies such as: RDF and SPARQL/SPARUL for querying.
3. Everything in ODS is an Object with its own URI, this is due to the underlying Object-Relational Architecture provided by Virtuoso.
4. It has all the social media components that you could need, including: blogs, wikis, social networks, feed readers, CRM and a calendar.
5. It is expandable by installing pre-configured components (called VADs), or by re-configuring a LAMP application to use Virtuoso. Some examples of current VADs include: MediaWiki, Wordpress and Drupal.
6. It works with external webservices such as: Facebook, del.icio.us and Flickr.
7. Everything within OpenLink Data Spaces is Linked Data, which provides more meaningful information than just plain structural information. This meaningful information could be used for complex inferencing systems, as ODS can be seen as a Knowledge Base.
8. ODS builds bridges between the existing static-document based web (aka ‘Web 1.0‘), the more dynamic,  services-oriented, social and/or user-orientated webs (aka ‘Web 2.0‘) and the web which we are just going into, which is more data-orientated (aka ‘Web 3.0’ or ‘Linked Data Web’).
9. It is fully supportive of Cloud Computing, and can be installed on Amazon EC2.
10. Its released free under the GNU General Public License (GPL). [note]However, it is technically dual licensed as it lays on top of the Virtuoso Universal Server which has both Commercial and GPL licensing[/note]

The features above collectively provide users with a Linked Data Junction Box that may reside with corporate intranets or "out in the clouds" (Internet). You can consume, share, and publish data in a myriad of formats using a plethora of protocols, without any programming. ODS is simply about exposing the data from your Web 1.0, 2.0, 3.0 application interactions in structured from, with Linking, Sharing, and ultimately Meshing (not Mashing) in mind.

Note: Although ODS is equipped with a broad array of Web 2.0 style Applications, you do not need to use native ODS apps in order to exploit it's power. It binds to anything that supports the relevant protocols and data formats.