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Janos Haits

Optimal Access Home Page | Optimal Access, Inc. - 1 views

www.optimalaccess.com

optimal access metasearch web3.0 semanticweb semantic web Search Engine research Reference searchengine semantic search web kbucket

shared by Janos Haits on 04 Apr 11 - No Cached
  • Janos Haits on 04 Apr 11
     
    A KBucket page is a place to organize and publish your research.  The practice is known as content curation.  You can curate for yourself and people like you, or you can curate to promote your ideas and knowledge.  KBucket lets you manage the context of your information, which means the grouping, the tags and the meta tags.  All KBucket pages are hosted on the KBucket search platform.
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

Searchbox | Semantic search engine for professionals - 1 views

www.searchbox.com

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

shared by Janos Haits on 31 Jul 12 - No Cached
  • Janos Haits on 31 Jul 12
     
    Access, organize and search information, files, documents, projects within your entire organization from one place.
Janos Haits

Dataset Search - 0 views

toolbox.google.com/datasetsearch

Semantic Web semantic semweb web3.0 google data database search engine search engines datasets dataset tools research opendata searchengine semanticweb reference search

shared by Janos Haits on 20 Nov 18 - No Cached
  • Janos Haits on 20 Nov 18
     
    "Dataset Search enables users to find datasets stored across the Web through a simple keyword search. The tool surfaces information about datasets hosted in thousands of repositories across the Web, making these datasets universally accessible and useful."
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."
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.
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