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Janos Haits

Category:Semantic wiki engine - semanticweb.org - 0 views

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    A semantic wiki engine is a specific kind of wiki engine that extends the wiki's function of collaborative content management with Semantic Web technologies. It is thus also a kind of Semantic content management system. Some, but not all, semantic wikis should also be classified as Ontology editor or Semantic annotation tool.
Janos Haits

Search engines - W3C Wiki - 0 views

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    'Semantic Web search engines are applications for finding ontologies that require reasonable effort: queries are usually written as natural language keywords and results are ranked. Some additional information is often provided.'
Janos Haits

TaskForces/CommunityProjects/LinkingOpenData/SemanticWebSearchEngines - ESW Wiki - 0 views

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    Semantic Web Search Engines\nThis page collects links to Semantic Web Search Engines. Semantic Web Search Engines use robots to crawl RDF data from the Web and provide search and navigation facilities over crawled data.The page is part of the community project [[SweoIG/TaskForces/CommunityProjects/LinkingOpenData|]]
Janos Haits

List of semantic search engines - Wikipedia, the free encyclopedia - 0 views

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    List of semantic search engines
Seçkin Anıl Ünlü

Semantic Web Patterns: A Guide to Semantic Technologies - ReadWriteWeb - 0 views

  • 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.
  • Another recent win for the bottom-up approach was the announcement of the Semantify web service from Dapper
  • ...17 more annotations...
  • 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.
Janos Haits

List of search engines - Wikipedia, the free encyclopedia - 1 views

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    Wikipedia articles about search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites that have a search facility for online databases.
Janos Haits

List of search engines - Wikipedia - 0 views

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    "Search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites have a search facility for online databases."
Janos Haits

Perplexity AI: Ask Anything - 0 views

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    "We are a small interdisciplinary team determined to bring novel technology and useful products to the world."
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