Semantic Web Patterns: A Guide to Semantic Technologies - ReadWriteWeb

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In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds.

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In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds. In a recent interview Tim Berners-Lee pointed

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In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds.

In a recent interview Tim Berners-Lee pointe

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In this article, we'll analyze the trends and technologies that power the Semantic Web.

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Seçkin Anıl Ünlü

semantic web semantic web web3.0 readwriteweb

To some, the Semantic Web is the web of data, where information is represented in RDF and OWL. Some people replace RDF with Microformats. Others think that the Semantic Web is about web services, while for many it is about artificial intelligence -
computer programs solving complex optimization problems that are out of our reach. And business people always redefine the problem in terms
of end user value, saying that whatever it is, it needs to have simple and tangible applications for consumers and enterprises.
The bottom-up approach
is focused on annotating information in pages, using RDF, so that
it is machine readable. The top-down approach is focused on leveraging information
in existing web pages, as-is, to derive meaning automatically.
18 more annotations...
- Another recent win for the bottom-up approach was the announcement of the Semantify web service
  from Dapper
- Similarly, top-down semantic
  tools are focused on dealing with imperfections in existing information.
- Within the bottom-up approach to annotation of data, there are several
  choices for annotation. They are not equally powerful, and in fact each approach is a tradeoff
  between simplicity and completeness. The most comprehensive approach is
  RDF - a powerful, graph-based language for declaring things, and attributes
  and relationships between things.
- the major benefit of RDF is interoperability and standardization, particularly
  for enterprises
- Microformats offer a simpler approach by adding semantics to existing HTML
  documents using specific CSS styles.
- The more annotations there are in web pages, the more
  standards are implemented, and the more discoverable and powerful the information becomes.
- People simply do not care that a product is built on the
  Semantic Web, all they are looking for is utility and usefulness.
- RDF solves a problem of data interoperability
  and standards.
- Behind Calais is a powerful natural language processing technology developed
  by Clear Forest (now owned by Reuters), which relies on algorithms and databases to extract entities out of text. According to
  Reuters, Calais is extensible, and it is just a matter of time before new entities will be added.
- Another example is the SemanticHacker API from TextWise, which is offering a one million dollar prize for the best commercial semantic
  web application developed on top of it.
- Another semantic API is offered by Dapper - a web service which facilitates the extraction of
  structure from unstructured HTML pages.
- The premise that semantical understanding of pages leads to vastly better search
  has yet to be validated. The two main contenders, Hakia and PowerSet, have made some progress, but not enough.
  The problem is that Google's algorithm, which is based on statistical analysis, deals just fine with
  semantic entities like people, cities, and companies.
- Likely, understanding semantics is helpful but not sufficient to build a better search engine.
  A combination of semantics, innovative presentation, and memory of who the user is, will be
  necessary to power the next generation search experience.
- Contextual navigation does not just improve search, but rather shortcuts it.
- The common theme among these tools is the recognition of information and the creation of specific
  micro contexts for the users to interact with that information.
- Semantic databases are another breed of semantic applications focused on annotating
  web information to be more structured.
- Another big player in the semantic databases space is a company called Metaweb, which created Freebase.
  In its present form, Freebase is just a fancier and more structured version of Wikipedia - with RDF inside and less information
  in total.
- With any new technology it is important to define and classify things. The Semantic Web is offering an exciting promise: improved information discoverability, automation of complex searches, and innovative web browsing.

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extended annotations for its news pages.
The
The more annotations there are in web pages, the more
standards are implemented, and the more discoverable and powerful the information becomes
1 more annotations...
- turning web sites into web services.

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Shanta Rohse

good primer on the collection of bottom-up and top-down technologies that contribute to the semantic web

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paul reid

The trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds.

web2.0 ideas search semanticweb analysis socialsoftware read learning

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Boris Mann

A good overview piece on technology and trends in SemWeb. Replacing microformats with RDF is a worrying trend...need to nip that in the bud by pointing to RDFa

microformats semanticweb

diigora diigora123

semantic

s that the document is about. It is kind of like Calais, but
also delivers a topical
With any new technology it is important to define and classify things. The Semantic Web is offering an exciting promise: improved information discoverability, automation of complex searches, and innovative web browsing. Yet the Semantic
Web means different things to different people. Indeed, its definition in the enterprise and consumer spaces is different,
and there are different means to a common end - top-down vs. bottom up and microformats vs. RDF. In addition to these patterns,
we are observing the rise of semantic APIs and contextual browsing tools. All of these are in their early days, but hold a big
promise to fundamentally change the way we interact with information on the web.

Ming Yee

A big win for the bottom-up approach was recent
announcement from Yahoo! that their search engine is going to support RDF
and microformats. This is a win-win-win for publishers, for Yahoo!, and for
customers - publishers now have an incentive to annotate information because
Yahoo! Search will be taking advantage of it, and users will then see better,
more precise results.
Yet another dimension of the conversation about the Semantic Web is the focus on
consumer and enterprise applications. In the consumer arena we have been looking
for a Killer
App - something that delivers tangible and simple consumer value. People
simply do not care that a product is built on the Semantic Web, all they are
looking for is utility and usefulness.
2 more annotations...
- Another example is the SemanticHacker
  API from TextWise, which is offering a
  one million dollar prize for the best commercial semantic web application
  developed on top of it. This API classifies information in documents into
  categories called semantic signatures. Given a document, it outputs entities or
  topics that the document is about. It is kind of like Calais, but also delivers
  a topical hierarchy, where the actual objects are leafs.
- We are seeing an increasing number of contextual tools entering the consumer
  market. Contextual navigation does not just improve search, but rather shortcuts
  it. Applications like Snap or Yahoo! Shortcuts or SmartLinks "understand" the
  objects inside text and links and bring relevant information right into the
  user's context. The result is that the user does not need to search at all.

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utility and usefulness
To them utilizing semantic technologies translates into being intelligent
and that, in turn, is good marketing.
1 more annotations...
- data interoperability
  and standards

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web blog guide article patterns semantic semanticweb

Duarte Da Silva

RDF microformats readwriteweb semantic semantic web semanticweb semweb web

The Semantic Web means many things to different people, because there are a lot of pieces to it.
To some, the Semantic Web is the web of data, where information is represented in RDF and OWL. Some people replace RDF with Microformats. Others think that the Semantic Web is about web services, while for many it is about artificial intelligence -
computer programs solving complex optimization problems that are out of our reach. And business people always redefine the problem in terms
of end user value, saying that whatever it is, it needs to have simple and tangible applications for consumers and enterprises.
The bottom-up approach
is focused on annotating information in pages, using RDF, so that
it is machine readable. The top-down approach is focused on leveraging information
in existing web pages, as-is, to derive meaning automatically.
2 more annotations...
- A big win for the bottom-up approach was recent announcement from Yahoo!
  that their search engine is going to support RDF and microformats. This is a win-win-win
  for publishers, for Yahoo!, and for customers - publishers now have an incentive to
  annotate information because Yahoo! Search will be taking advantage of it, and users
  will then see better, more precise results.
- Another recent win for the bottom-up approach was the announcement of the Semantify web service
  from Dapper (previous coverage). This offering will enable publishers to add semantic annotations to
  existing web pages. The more tools like Semantify that pop up, the easier it will be for publishers
  to annotate pages. Automatic annotation tools combined with the incentive to annotate
  the pages is going to make the bottom-up approach more compelling.

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Helen Kurukulasuriya

read

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. zbikos .

web

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In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds.

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Concepción Abraira Fernández

SemanticWeb patrones microformatos microformats ontology search internet web_semántica

Jim Lukach

The Semantic Web means many things to different people, because there are a lot of pieces to it.
To some, the Semantic Web is the web of data, where information is represented in RDF and OWL. Some people replace RDF with Microformats. Others think that the Semantic Web is about web services, while for many it is about artificial intelligence -
computer programs solving complex optimization problems that are out of our reach. And business people always redefine the problem in terms
of end user value, saying that whatever it is, it needs to have simple and tangible applications for consumers and enterprises.

Lukasz Kolodziejczyk

semantic web3.0

Martin M

semanticweb

a77ila

Dobromir Hadzhiev

semantic article reference

Krishnan Subramanian

semanticweb semantic

Rafael Alvarado

semantic web

Neil Saunders

semanticweb microformats innovation data web2.0

Jeff Walzer

alex iskold readwriteweb semantic web

Jeremy James

for:alexanderkim for:anthrodelicious for:tbartels information microformats semanticweb toread

Sylvia Martinez

Search Web2.0 internet microformats ontology semantic semanticweb technology

Britt Watwood

future web3.0

Little Wonder

microformats ontology semantic semanticweb web2.0

Takuya Homma

, the Semantic Web is the web of data, where information is represented in RDF and OWL
Others think that the Semantic Web is about web services, while for many it is about artificial intelligence -
computer programs solving complex optimization problems that are out of our reach.
28 more annotations...
- he bottom-up approach
  is focused on annotating information in pages, using RDF, so that
  it is machine readable
- The top-down approach is focused on leveraging information
  in existing web pages, as-is, to derive meaning automatically
- This is a win-win-win
  for publishers, for Yahoo!, and for customers - publishers now have an incentive to
  annotate information because Yahoo! Search will be taking advantage of it, and users
  will then see better, more precise results.
- e magic of Google is that it can understand information as is, without asking
  people to fully comply with W3C standards of SEO optimization techniques.
- op-down semantic
  tools are focused on dealing with imperfections in existing information
- The more annotations there are,
  the more precise top-down technologies will get
- RDF - a powerful, graph-based language for declaring things, and attributes
  and relationships between things
- In a simplistic way, one can think of RDF
  as the language that allows expressing truths like: Alex IS human (type expression),
  Alex HAS a brain (attribute expression), and Alex IS the father of Alice, Lilly, and Sofia (relationship expression)
- the major benefit of RDF is interoperability and standardization,
- Microformats offer a simpler approach by adding semantics to existing HTML
  documents using specific CSS styles. The metadata is compact and is embedded inside
  the actual HTML.
- microformats are gaining popularity because they are simple.
- The more annotations there are in web pages, the more
  standards are implemented, and the more discoverable and powerful the information becomes.
- In the consumer arena
  we have been looking for a Killer App - something that delivers tangible and
  simple consumer value.
- People simply do not care that a product is built on the
  Semantic Web, all they are looking for is utility and usefulness.
- The promise was that once the information is annotated and the web becomes one big
  giant RDF database, then exciting consumer applications will come
- consumers will not be interested in knowing about the
  underlying technology - so there is really no marketing play for the Semantic Web in the consumer space.
- a standard protocol, a standard way to pass around
  information between two programs, is hugely valuable in the enterprise.
- these web services take as an input unstructured information
  and find entities and relationships.
- the first significant blow to the Semantic Web has been the inability thus far to improve search.
- The premise that semantical understanding of pages leads to vastly better search
  has yet to be validated.
- There is a growing realization that marginal improvement in search might not be
  enough to beat Google, and to declare search the killer app for the Semantic Web
- A combination of semantics, innovative presentation, and memory of who the user is, will be
  necessary to power the next generation search experience.
- Yet search is a game that is far from won and a lot of semantic companies are really trying to
  raise the bar
- Applications like Snap or Yahoo! Shortcuts or SmartLinks "understand"
  the objects inside text and links and bring relevant information right into the user's context.
- Semantic databases are another breed of semantic applications focused on annotating
  web information to be more structured
- Such a database would be enormously powerful because it could be queried exactly - much like relational databases.
- mproved information discoverability, automation of complex searches, and innovative web browsing.
- ts definition in the enterprise and consumer spaces is differen

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