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Janos Haits

http://www.sparqlz.com - 1 views

www.sparqlz.com

sparqlz www search semantic web web3.0 semantic web searchengine search engine semanticweb research

shared by Janos Haits on 13 Aug 10 - Cached
  • Janos Haits on 13 Aug 10
     
    Real-Time Faceted Search is a journey; a journey that enables you to easily tell the internet what you're looking for and let the internet find it for you. It starts with the same key word everyone is familiar with, but then guides the user through a series of contextual prompts, or 'facets', that eventually build out a more 'complex query' more powerful than that of typical keyword search. Through the use of a number of GUI techniques, the user is able to either select or fill in elements of this query in intuitive ways with all the code crunching being hidden in the background. The query can then be run over mashed up linked data sources. This enables the everyday user to build out these deep queries over linked data and receive much more relevant results.
Seçkin Anıl Ünlü

Semantic Search: The Myth and Reality - ReadWriteWeb - 0 views

www.readwriteweb.com/...earch_the_myth_and_reality.php

semantic search readwriteweb web web3.0 comparison

shared by Seçkin Anıl Ünlü on 02 Nov 08 - Cached
  • 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.
  • ...11 more annotations...
  • 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

Faceted Wikipedia Search - 2 views

dbpedia.neofonie.de/browse

dbpedia wikipedia faceted search engine searchengine web3.0 reference semantic web semantic search semanticweb

shared by Janos Haits on 06 Sep 10 - Cached
  • Janos Haits on 06 Sep 10
     
    Faceted Wikipedia Search allows users to ask complex queries against Wikipedia. The answers to these queries are not generated using key word matching as the answers of search engines like Google or Yahoo, but are generated based on structured information that has been extracted from many different Wikipedia articles.
Janos Haits

Linked Life Data - 0 views

linkedlifedata.com

bioinformatics linked data life semantic web searchengine web3.0 search engine semanticweb research search reference

shared by Janos Haits on 11 Nov 10 - No Cached
  • Search and explore over 4 billion RDF statements from various sources including UniProt, PubMed, EntrezGene and 20 more... Perform complex SPARQL queries and retrieve more than 500 million RDF resources.
  • Janos Haits on 11 Nov 10
     
    Search and explore over 4 billion RDF statements from various sources including UniProt, PubMed, EntrezGene and 20 more...Perform complex SPARQL queries and retrieve more than 500 million RDF resources.
Janos Haits

Discovery Hub Beta - 0 views

semreco.inria.fr/beta

discovery hub beta wikipedia web3.0 web 3.0 semantic semantic web semanticweb semweb search searchengine search engine reference research

shared by Janos Haits on 04 Jan 13 - No Cached
  • Janos Haits on 04 Jan 13
     
    Discovery hub is an exploratory search engine which helps you to discover things you might like or be interested in. It widens your cultural and knowledge horizons by revealing and explaining unattended information. Based on Wikipedia data, Discovery Hub is cross-domain and works on numerous topics including music, cinema, literature but also politics, automobile and much more. It allows performing queries in an innovative way and helps you to navigate rich results. As a hub, it proposes redirections to others platforms to make you benefit from your discoveries (Youtube, Deezer and more).
Janos Haits

SenseBot - semantic search engine that finds sense on the Web - 0 views

www.sensebot.net

sensebot search semantic tools searchengine web3.0 semantic web search engine reference semanticweb research

shared by Janos Haits on 06 Sep 10 - Cached
  • Janos Haits on 06 Sep 10
     
    SenseBot (Beta) is a semantic search engine that generates a text summary of multiple Web pages on the topic of your search query. It uses text mining and multidocument summarization to extract sense from Web pages and present it to the user in a coherent manner. A "Semantic Cloud" of concepts is displayed above the summary, allowing to steer the focus of the results. To learn about our approach, go to the About SenseBot page, or browse Samples.
Janos Haits

NachoFoto - Realtime Image Search Engine - 0 views

nachofoto.com

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shared by Janos Haits on 25 Mar 11 - Cached
  • Janos Haits on 25 Mar 11
     
    Find relevant images of Trending Topics in realtime / Nachofoto is a Semantic Time-based Vertical Image Search Engine. Our focus has been to deliver Fresh and Relevant image results for High Volume and Trending queries. Our goal is to change the way people interact with image search engines.
Janos Haits

Search engines - W3C Wiki - 0 views

www.w3.org/Search_engines

search engines engines wiki search search engine web3.0 Semantic Web reference research semantic searchengine semanticweb

shared by Janos Haits on 11 Jan 21 - No Cached
  • Janos Haits on 11 Jan 21
     
    '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

Intellidimension Semantic Web Search - 0 views

www.semanticwebsearch.com/query

intellidimension SemanticWeb web3.0 search searchengine semantic reference semantic web search engine research internet

shared by Janos Haits on 29 Jun 10 - Cached
  • Janos Haits on 29 Jun 10
     
    A Search Engine for the Semantic Web (beta)
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