This link has been bookmarked by 286 people . It was first bookmarked on 26 Mar 2008, by Takuya Homma.
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18 Jul 12
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patterns
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because there are a lot of pieces to it
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means many things
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web of data
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artificial intelligence
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web services
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needs to have simple and tangible applications
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Annotation
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each approach is a tradeoff between simplicity and completeness
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RDF - a powerful, graph-based language for declaring things, and attributes and relationships between things
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interoperability
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standardization
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Microformats offer a simpler approach
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by adding semantics to existing HTML documents using specific CSS styles
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still quite limiting
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An even simpler approach is to put meta data into the meta headers
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complimentary
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The more annotations there are in web pages, the more standards are implemented, and the more discoverable and powerful the information becomes
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focus on consumer and enterprise applications
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all they are looking for is utility and usefulness
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once the information is annotated and the web becomes one big giant RDF database, then exciting consumer applications will come
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consumers will not be interested in knowing about the underlying technology
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no marketing play for the Semantic Web in the consumer space
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being intelligent
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Forget semantics; just a standard protocol, a standard way to pass around information between two programs, is hugely valuable in the enterprise
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scalability
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Semantic APIs
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web services
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mini natural language processing tools, which are only concerned with a subset of the language.
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the first significant blow to the Semantic Web has been the inability thus far to improve search
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Contextual navigation does not just improve search, but rather shortcuts it.
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"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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rely on analyzing the content
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less guessing
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Twine
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personal knowledge base
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a way to filter the results of any search engine based on a particular individual.
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Metaweb
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database approaches, which are effectively silos
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With any new technology it is important to define and classify things
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information discoverability
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24 Dec 10
Rajeev VuttharahalliSemantic Web Patterns: A Guide to Semantic Technologies
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nowherefastby Alex Iskold. [March 25, 2008]
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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.
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27 Feb 10
Conrad Ferdinand"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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04 Feb 10
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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.
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But even if the tools and incentive exists, to make the bottom-up approach widespread is difficult. Today, the magic of Google is that it can understand information as is, without asking people to fully comply with W3C standards of SEO optimization techniques.
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The most comprehensive approach is 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). RDF is powerful, but because it is highly recursive, precise, and mathematically sound, it is also complex.
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In general, these web services take as an input unstructured information and find entities and relationships. One way to think of these services is mini natural language processing tools, which are only concerned with a subset of the language.
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D BIn 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 ...Internet semantic_web future metadata microformats web20 onthologie 03_2008 2008 fromdelicious
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03 Jun 09
martinrstone1. Bottom-up and Top-Down
2. Annotation Technologies: RDF, Microformats, and Meta Headers
3. Consumer and Enterprise
4. Semantic APIs
5. Search Technologies
6. Contextual Technologies
7. Semantic Databases -
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Facyla ~"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."
search data semantic ontology BDD microformats web3.0 del.icio.us
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David WarlickIn 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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George BradfordIn 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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05 Jan 09
Kevin Deegan-KrauseIn 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 ...
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29 Dec 08
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L@jost EU projectIn 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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laura malitaIn 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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26 Dec 08
Judy O'ConnellIn 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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23 Dec 08
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Alan LevineIn 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 -
18 Nov 08
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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.
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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.
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Another recent win for the bottom-up approach was the announcement of the Semantify web service from Dapper
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Similarly, top-down semantic tools are focused on dealing with imperfections in existing information.
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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.
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the major benefit of RDF is interoperability and standardization, particularly for enterprises
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Microformats offer a simpler approach by adding semantics to existing HTML documents using specific CSS styles.
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The more annotations there are in web pages, the more standards are implemented, and the more discoverable and powerful the information becomes.
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People simply do not care that a product is built on the Semantic Web, all they are looking for is utility and usefulness.
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RDF solves a problem of data interoperability and standards.
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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.
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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.
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Another semantic API is offered by Dapper - a web service which facilitates the extraction of structure from unstructured HTML pages.
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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.
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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.
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Contextual navigation does not just improve search, but rather shortcuts it.
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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.
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Semantic databases are another breed of semantic applications focused on annotating web information to be more structured.
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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.
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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
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The more annotations there are in web pages, the more standards are implemented, and the more discoverable and powerful the information becomes
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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." (25/03/2008)
internet rdf métadonnée tendance web_sémantique usage export-depuis-delicious-2011-12-29
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14 Sep 08
Stian DanenbargerIn 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 ...
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10 Sep 08
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Ramon SampangIn 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 ...
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Lars Bauerby Alex Iskold, 25 March 2008
Web Web2.0 web3.0 Semantic-Web Technology Trends articles publications
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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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Francisco Arlindo AlvesMostra tendências e tecnologias que suportam a Web Semântica. Iremos identificar padrões que estão começando a surgir, classificar as diferentes tendências, e de pico em o que o futuro reserva. Em uma entrevista recente, Tim Berners-Lee salientou q
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Carl SpiesIn 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 ...
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25 Apr 08
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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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24 Apr 08
Juho MakkonenPitkä ja syvällinen analyysi siitä, mitä semanttinen web on tänä päivänä, ja mihin se on menossa.
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Tahsin ErtanIn 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 ...
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