27 results for domain knowledge

FEB 22nd 2007

The value of a dataset may be determined by any number of factors, however it can generally be agreed upon that the data's accuracy, how difficult it is to re-create, its source, and other important factors can affect the value of the data. However, as technology evolves to allow easier access to the information we require, the value of dataset may eventually decrease over time.

Continue reading The value of current datasets in the Semantic Web

MAR 11th 2007

For just about every area of research there exists documents online describing background information or techniques to accomplish a task in that domain of research. These documents are often referred to as white papers, provided their content is of technical or research orientation. The information held within white papers is essentially accessible by humans only because machines are not able to read and comprehend text in the same way humans can. If machines were able to read white papers and extract information in the same way humans can we would be able to store each fact and piece of knowledge from the documents. This method of indexing would facilitate much more detailed searches, allowing users to search by topic, theory, conclusion, methods, citations, references, etc.

Continue reading Extracting Information from White Paper Text

APR 13th 2007

It seems as though nothing short of a new buzzword can stop the burst of activity in the vertical search market, and who are we to complain? Vertical search engines differ from their horizontal brethren (who attempt to index the Web as a whole) by focusing on a single topic or niche about which to index information from the Web. Often, a VSE can deliver results with much greater relevancy and accuracy than major horizontal players like Google, Yahoo, and Microsoft.

Continue reading Vertical Search Engines are Domain Knowledge Silos

SEP 13th 2007

This entry is a response to I will never support the Semantic Web by Brian of d'bug.

I'm getting tired of reading about how the Semantic Web is some kind of pipe dream that will never be realized. The Semantic Web is completely and entirely within our technological reach. People may have been given the impression that we cannot create the Semantic Web because of its complexity, the number of years it has been in development, or even the unanswered questions that still exist for certain problems we will face. These are valid reasons to doubt our progress, but progress is certainly what we are making.

Continue reading Some People Will Never Support the Semantic Web

The Semantic Web In Part 2 of this series we reviewed Unicode, URI, and XML - three foundational technologies that permeate the existing Web and that are especially relevant to the emerging Semantic Web. We will put all three to use as we take our next step up the Semantic Web layer cake in a review of the Resource Description Framework (RDF). At the same time, we will be taking the visual RDF/OWL editor, Altova SemanticWorks, for a test drive. Since I will be using this tool for the very first time, you can expect an honest review that is rich with screenshots. If you do not already have the software, you may wish to download the trial version now so you can follow along.

Continue reading Introduction to the Semantic Web Vision and Technologies - Part 3 - The Resource Description Framework

NOV 15th 2007

The Curse of Knowledge and the Semantic WebThe Curse of Knowledge: the more you know, the more difficult it is for you to communicate knowledge. When we know something, we can hardly imagine not knowing it. The more we learn about something, the more it becomes even harder for us to think of not knowing it. It is generally difficult for experts (who know much) to explain their expertise to laymen (who know little) because experts have to try hard to imagine the scenario when they were not experts. This is the Curse of Knowledge.

Continue reading The Curse of Knowledge and the Semantic Web

FEB 18th 2008

Update: 302 Semantic Web Videos and Podcasts!

I've compiled a list of videos about the Semantic Web, RDF, and OWL for your viewing pleasure! Most of these videos are short, ranging from about 6 to 10 minutes while others are long (45+ minutes). Included are a few introductions, a few interviews, and a few that get into the gritty details.

Continue reading 17 Semantic Web, RDF, and OWL Videos

JAN 26th 2007

A mashup is a hybrid Web application that combines complementary elements from two or more sources to create one integrated experience. Content used in mashups is generally sourced from a third party via an API or from Web feeds (e.g. RSS or Atom). Basically, the point is to take multiple data sources or Web services and turn them into something useful. The idea of combining Web services is not a new one, but it has gained immense traction in recent times and will likely continue to grow in popularity. In this entry I will be discussing both the promising future mashups offer and also potential pitfalls.

Continue reading Mashups: Opportunity, Innovation, and Money

MAR 19th 2007

I have 3 interesting links that you need to check out. The first two are products for discovering and storing metadata, natural language processing, and many more things. The third link goes to a post on Geospatial Semantic Web Blog which gives us an update on Metalink's ability to map its descriptions into RDF.

Continue reading Mini-roundup of links I think you need to check out

JUN 15th 2007

Semantic search has two legs

Published 10 years ago by Yihong Ding

The discussion of semantic search has gradually become popular. Just not long time ago, semantic search was thought to be barely a little bit more than a dream. At present, optimistic researchers have started to believe its possibility in the near future. Very recently at Read/WriteWeb, Dr. Riza C. Berkan, the CEO of Hakia (a company declared to perform "semantic search"), posted an article about semantic search that attracted much attention. Despite of agreeing with the post, here are more thoughts about semantic search.

Continue reading Semantic search has two legs

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