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Janos Haits

Semantic Search - CHAIN project - 5 views

www.chain-project.eu/linked-data

chain project web3.0 Semantic Web semantic searchengine search engine reference search research semanticweb

shared by Janos Haits on 25 Mar 14 - No Cached
  • Janos Haits on 25 Mar 14
     
    "Semantic Search on Linked Data Here you can search across more than 30 million resources contained in the thousands of semantically enriched Open Access Document Repositories and  Data Repositories included in the CHAIN Knowledge Base. Search results are ranked according to the Ranking Web or Repositories. Some exemplar keywords are: cardiology, cell, cornea, geology, linked data, natural gas."
Janos Haits

ProductDB - ProductDB - 0 views

productdb.org

productdb rdf semanticweb data web3.0 Web 3.0 semantic web semantic web evolution

shared by Janos Haits on 08 Sep 11 - Cached
  • Janos Haits on 08 Sep 11
     
    ProductDB aims to be the World's most comprehensive and open source of product data. Not only do we want to create a page for every product in the world, we want to connect the underlying structured data together into one huge interlinked dataset... read more
Janos Haits

ShriGB - A Semantic Financial Search Engine Leveraging Big Data & Extracting Valuable I... - 0 views

vitalflux.com

semantic search search engine engine data valuable web3.0 semantic web reference semanticweb searchengine

shared by Janos Haits on 31 May 13 - No Cached
  • Janos Haits on 31 May 13
     
    ShriGB - A Semantic Financial Search Engine Leveraging Big Data & Extracting Valuable Insights
Janos Haits

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

esw.w3.org/...SemanticWebSearchEngines

linkingopendata wiki taskforces web3.0 semantic web semantic web evolution web 3.0 technology semantics semanticweb web communityprojects

shared by Janos Haits on 13 Jun 10 - Cached
  • Janos Haits on 13 Jun 10
     
    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

FactForge.net - 1 views

factforge.net

factforge semantic web searchengine semantic web search engine web3.0 semanticweb search reference research

shared by Janos Haits on 22 Aug 10 - Cached
  • Janos Haits on 22 Aug 10
     
    FactForge represents a reason-able view to the web of data. It aims to allow users to find resources and facts based on the semantics of the data, like web search engines index WWW pages and facilitate their usage.
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.
Janos Haits

Open Semantic Search: Your own search engine for documents, images, tables, files, intr... - 2 views

www.opensemanticsearch.org

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

shared by Janos Haits on 26 Jul 15 - Cached
  • Janos Haits on 26 Jul 15
     
    "Free software for your own search engine, data explorer and research tools based on Apache Lucene / Solr or Elastic Search open-source enterprise-search and open standards for Linked Data and Semantic Web"
Janos Haits

TranscriptomeBrowser: data mining of public microarray data. - 2 views

tagc.univ-mrs.fr/tbrowser

data mining data mining public engine metasearch semantic web3.0 semantic web reference semanticweb search engine searchengine search web research

shared by Janos Haits on 20 Dec 11 - Cached
  • Janos Haits on 20 Dec 11
     
    TranscriptomeBrowser host a large database of transcriptional signatures (TS, n~40 000)  extracted from Gene Expression Omnibus (~4 000 experiments) using the DBF-MCL algorithm.  TBrowser comes with a sophisticated search engine so that users can search for the biological contexts in which several genes were concomitantly regulated. Several examples are provided below and in the article published in PLoSONE . A video tutorial is
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.
Seçkin Anıl Ünlü

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

www.readwriteweb.com/...semantic_web_patterns.php

semantic web semantic web web3.0 readwriteweb

shared by Seçkin Anıl Ünlü on 02 Nov 08 - Cached
  • 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

Freebase API - Google Developers - 0 views

developers.google.com/freebase

freebase api developers web 3.0 web3.0 semantic web evolution semantic web semanticweb Google service tools web2.0 search

shared by Janos Haits on 13 Mar 13 - No Cached
  • Janos Haits on 13 Mar 13
     
    Build intelligent apps with Freebase data Explore a free, open knowledge graph of 36 million people, places, and things.
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

TripleMap.com/ - 0 views

triplemap.com

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

shared by Janos Haits on 08 Feb 13 - No Cached
  • Janos Haits on 08 Feb 13
     
    Next Generation Big Data Analytics & Collaboration Engine
Janos Haits

Enth - The Database Search Engine - 2 views

www.enth.com/Home.aspx

engine database web3.0 semantic web semanticweb semantic searchengine search engine search reference web research

shared by Janos Haits on 10 Dec 11 - No Cached
  • Janos Haits on 10 Dec 11
     
    Publish and Search Relational DatabasesEnth blends database publishing and search to unlock the value of Internet-connected databases and dramatically increase the ease and speed of finding information. Our patented software platform allows you to easily share structured data online and provide users with a quick way to find information using plain text, achieving time savings, cost savings and increased productivity for your organization.
Janos Haits

nlmPlus.com/ - 1 views

nlmplus.com

shared by Janos Haits on 09 Dec 11 - No Cached
  • Janos Haits on 09 Dec 11
     
    NLMplus is an award winning Semantic Search Engine and Biomedical Knowledge Base application that showcases a variety of natural language processing tools to provide an improved level of access to the vast collection of biomedical data and services of the National Library of Medicine.
Janos Haits

redlink - 0 views

redlink.co

semantic web3.0 web evolution web apps semweb semanticweb search semantic web reference

shared by Janos Haits on 16 Nov 13 - No Cached
  • Janos Haits on 16 Nov 13
     
    Redlink: a Platform for Semantic Enrichment, Linked Data and Information Discovery
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

reinventing music discovery @ seevl.net - 1 views

seevl.net

music discovery search engine searchengine semantic search semantic web semanticweb reference web3.0

shared by Janos Haits on 09 May 11 - No Cached
  • Janos Haits on 09 May 11
     
    Seevl reinvents music discovery. We provide new ways to explore the cultural and musical universe of your favorite artists and to discover new ones by understanding how they are connected. In addition, we let you comment every piece of data about them.
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