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Janos Haits

OAS - 0 views

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    "Advance scientific research. Promote technology. For the good of all humanity. Open Academic Search (OAS) is a working group aiming to advance scientific research and discovery, promote technology that assists the scientific and academic communities, and make research available worldwide for the good of all humanity."
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Semantic Search: The Myth and Reality - ReadWriteWeb - 0 views

  • Any technology that stands a chance to dethrone Google is of great interest to all of us, particularly one that takes advantage of long-awaited and much-hyped semantic technologies. But no matter how much progress has been made, most of us are still underwhelmed by the results. In head-to-head comparisons with Google, the results have not come out much different.
  • We all know that semantic technologies are powerful, but how and why?
  • The mistake is that semantic search engines present us with Google-like search box and allow us to enter free form queries. So we type the things that we are used to asking - primitive queries.
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  • The situation is made more difficult by the fact that right now there is only a thin range of problems where semantic search can clearly do better. This range is complex queries involving inferencing and reasoning over a complex data set.
  • Sadly, natural language processing gives little advantage when it comes to this category of problems.
  • Before looking at the problems that are perfect for semantic search, lets look at the hardest problems. These are computationally challenging problems that really have nothing to do with understanding semantics.
  • There are fundamental limits to what we can compute, and a class of problems that have an exponential number of possible solutions is not going to be magically solved because we represent data as RDF.
  • The good news is that there is a set of problems that are great for semantic search. These are the problems we have been solving so wonderfully with relational database.
  • At its most structured extreme we find Freebase - the semantic database of everything. Freebase is accessible via free text search, but more importantly via MQL (Metaweb Query Language).
  • Companies like Hakia and Powerset are probably working the hardest. These companies are trying to simultaneously build Freebase-like structures on the fly and then do natural language queries on top of them. The difference is that Hakia is using (likely similar) technology to query over the entire web, while Powerset has (probably shrewdly) chosen to restrict the search to Wikipedia.
  • Here is the problem - the natural language interface has nothing to do with the underlying data representation.
  • Fundamentally, Hakia, Powerset, and Freebase are databases. Fundamentally, all of them have some kind of Natural Language Processing that translates the question into a canonical query over the database.
  • Having a simplistic search interface hurts Powerset and Hakia, and to a lesser extent Freebase, which is not positioning itself as generic search.
  • Instead, the expectation should really be to solve the problems that can not be solved by Google today.
Janos Haits

Zakta Technology Platform - OEM Collaborative Search and Social Curation - 0 views

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    Zakta is the world's leading Social Curation Platform. Zakta helps power the next generation of social applications with search, curation and collaboration technologies.
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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
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  • 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

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."
Janos Haits

Omnity - 0 views

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    "Omnity is based on fundamental advances in associative semantic search technology, through which we create landscapes of meaning-based relationships arising from the semantic signatures of entire documents. In this manner, the knowledge contained within whole documents can be deeply inter-connected, solely through shared ideas."
Janos Haits

Wolfram|Alpha: Products - 1 views

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    Wolfram|Alpha technology powers a growing range of products...
Janos Haits

EKOSS System - A Web-based Semantic Search Engine for Engineering Knowledge - 0 views

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    "EKOSS (Engineering/Environmental Knowledge Ontology-based Semantic Search) has been developed for sharing expert knowledge using semantic web technologies. The website provides a collaborative knowledge sharing environment where knowledge experts can submit advertisements of the knowledge resources that they have developed, such as research papers, databases and computer simulation models. "
Janos Haits

AVmediaSearch.eu »«» Eng « CHORUS+ - 0 views

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    AVmediasearch.eu is the hub where you will find all useful information related to events, technologies, resources… linked to audio-visual search.
Janos Haits

Lexxe Search Engine - 4 views

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    powered by advanced natural language technology
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

Wolfram|Alpha with CDF: Interact with Results with the CDF Plugin - 0 views

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    Preview our experimental interactive features Try a new way to interact with your Wolfram|Alpha results-based on Wolfram Computable Document Format (CDF) www.wolframalpha.com/ technology.
Janos Haits

Watson Semantic Web Search - 1 views

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    exploring the semantic web
Janos Haits

BinPad - 2 views

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    "BinPad Editor is a tool that helps you organize and publish content in BinPad. Visualize your own content in an intuitive, amazing way. The public version is coming soon. Examples of a Curriculum Vitae and travel log created by BinPad Editor are provided."
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    "BinPad Editor is a tool that helps you organize and publish content in BinPad. Visualize your own content in an intuitive, amazing way. The public version is coming soon. Examples of a Curriculum Vitae and travel log created by BinPad Editor are 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

iGlue - site - 2 views

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    searching enables you to look for entities in our whole database (people, geographic locations, institutions, pictures, etc.).
Janos Haits

Precision Search & Find - 2 views

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    Precision Search & Find
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