It’s important to stay in touch with what’s happening in your area of research and also those related to your area. If you have time it’s also nice to dip into the sort of thing you would normally have nothing to do with like graphics in my case for example. It’s good because[...]
Posts Tagged ‘Semantic web’
August 5th, 2009 - 5:28 pm § in Tools
15 conferences to watch
Tags: artificial intelligence, Association for Computing Machinery, CHI, Daniel Tunkelang, data mining;, Document Analysis Systems, Evgeniy Gabrilovich, Human-computer interaction, Information retrieval, Intelligent Agent Technology, interest group;, knowledge management;, machine translation;, Matt Cutts, natural language processing;, Noisy Channel, Semantic web, SIGMOD, Special Interest Group, Special Interest Group on Information Retrieval, Technology_Internet, Web Conference, Web Services IJCAI 1 Comment
August 3rd, 2009 - 10:53 pm § in Semantic web
Is it really a URL?
I thought it might be a nice idea to go over what the different identifiers on the web were. Tim Berners-Lee recently showed some exasperation at us all calling everything “URL”. With the the Semantic Web gaining momentum, it’s even more important to start calling things by their c[...]
Tags: ASCII;, Author, http, IBM;, International Business Machines Corporation, Internationalized Resource Identifier, Naming scheme, Resource, Semantic web, Technology_Internet, Tim Berners-Lee;, Uniform Resource Identifier, Uniform Resource Locator, Uniform Resource Name, URI scheme, web addresses No Comments
July 18th, 2009 - 5:44 pm § in Information retrieval
Assisted search
There’s a post over at Search Engine Land by Kim Krause Berg which highlights recent research being done in search and use behaviour. It’s a nice short summary, very accessible and quotes some pretty authoritative sources such as Jim Jansen for example. I wanted to post about this becaus[...]
Tags: advanced surfer, Amanda Spink, assisted search, conversational systems;, David Robins, easy search, gigantic web site, http://xyz.com, Jim Jansen, Kim Krause Berg, large commercial site, linguist, machine learning;, Natural language search, online marketing, Professor of information science, search engine, search engine results;, search es, search focus, search marketing, Semantic web, site owner, Technology_Internet 4 Comments
July 15th, 2009 - 1:44 am § in Semantic web
OWL – w00t
If you’re talking about RDF, then you should know about OWL. Web Ontology Language (OWL) is also a knowledge representation language and is also part of the semantic web (“OWL” just sounded better than “WOL”). It is built on top of RDF and written in XML. We don’t[...]
Tags: Asia, computing, Description logic, great surfer, Health_Medical_Pharma, Human Interest, Knowledge representation, Ontology, Owl, OWL DL, Pre-semantic web, Rachel Lovinger, RDF;, Resource Description Framework, Robert Ruffin, Semantic web, Semantic Web Stack, SEO arena, SEOs, SQL;, Technology_Internet, web documents;, Web Ontology Language, Web Ontology Language Guide, XML; No Comments
May 15th, 2009 - 1:12 pm § in Semantic web
Google semantic web
This is indeed an “I told you so” post. If you don’t recognise the logo above, then this is aimed at you Google have announced (12 May) that they are going to be using “Rich snippets”: “Rich Snippets give users convenient summary information about their search res[...]
April 20th, 2009 - 6:48 pm § in Semantic web
WP plugins to get semantic
There are a few plugins that are useful and easy to use on your WordPress blog. I use them and feel that none of us have any excuse to not get involved in the semantic web. Often the reason for not bothering has been time and complexity. Honestly, all you have to do is install [...][...]
Off with your meta-tags
I wanted to talk about how computers deal with text, or rather how they deal with what text means. Todd Mintz posted about Google returning something other than the meta-description he had supplied for example. In an ideal world, there would be no need for meta-tags as machines could understand th[...]
March 26th, 2009 - 2:20 pm § in Information retrieval, Search engines
8 tools to find semantic similarity between words
The big news this week has been Google announcing their use of semantics to enhance the performance of the search engine. This will not come as a surprise to computer scientists working in the language field (IR, NLP etc…). There are also already quite a few semantic search engines around [...]
March 17th, 2009 - 10:46 am § in Information retrieval, Information/text analysis, Search engines, Tutorials
How does a search engine know what words mean?
Word sense disambiguation (WSD) belongs to the field of computational linguistics. It’s the research area dedicated to finding ways for machines to understand the meaning of words. More precisely, it’s about determining the word sense of a particular word in a context. This [...]
Tags: Adam Kilgarriff, artificial intelligence, Chair, computing, dialogue systems, Lesk algorithm, machine learning;, machine translation systems, machine translation;, Mark A. Greenwood, Mark Sanderson, Mark Stevenson, Microsoft;, natural language processing techniques;, natural language processing;, possible solutions;, precise solution, RDF;, Roberto Navigli, search engine, Search engines, search space, semantic network;, Semantic web, Sheffield University;, speech systems, Steven Pinker, Ted Pederson, Texas;, University of Brighton, University of Glasgow, University of North Texas;, University of Rome, web ranges, well known linguist 25 Comments
New ranking algorithms
Ranking algorithms are changing a great deal at the moment. Before, like HITS and PageRank they looked at how websites and pages were connected and used any information they could gather from those to use as variables. Nowadays we’re seeing research papers come out focusing on how the sema[...]
Tags: Folksonomy Systems;, Google, Graph-based ranking algorithm;, graph-based ranking algorithms;, Hannover, HITS algorithm;, Leibniz University Hannover;, online content;, PageRank, Ranking algorithms, ranking algorithms Ranking algorithms;, search engine, search engine results;, Search engines, search results;, Semantic web, semantic web features;, social media;, web search; 3 Comments
