February 2009: The Semantic Web Gang

In the latest episode of the Semantic Web Gang regular members take a broad look at the news of the moment, discussing growing enterprise interest in ‘Linked Data’ and O’Reilly’s move to share RDF describing their book catalogue.

During the conversation, we refer to the following resources;

Semantic Web For Dummies

Semantic Web technology is already changing how we interact with data on the Web. By connecting random information on the Internet in new ways, Web 3.0, as it is sometimes called, represents an exciting online evolution.

Whether you’re a consumer doing research online, a business owner who wants to offer your customers the most useful Web site, or an IT manager eager to understand Semantic Web solutions, Semantic Web For Dummies is the place to start!

Linking Data on the Web – An Introduction to RDF

photoSemantic Web Meetups > The San Francisco Semantic Web Meetup


San Francisco, CA 94105 – USA

Thursday, April 2 at 6:30 PM

Attending: 7

Details: http://www.meetup.com/The-San-Francisco-Semantic-Web-Meetup/calendar/9662229/

Chemical Taxonomies and Ontologies for Semantic Web

Executive Summary

Semantic Web (SW) is a vision of World Wide Web Consortium for seamless integration and query of complex data of all kinds and here we describe its implementation for chemical drug-like compounds. Resource Description Framework (RDF) is a recommended technology to integrate a variety of applications and provide a light weight ontology system to support annotation, search and exchange of knowledge in a SW. Establishing, managing and exchanging information on chemical compounds is a huge challenge for researchers working in many fields ranging from drug-discovery to enzymolgy, bio-fuels to agriculture. Structures of chemical compounds are complex to be described by names alone. Subtle structural changes may result in huge change in chemical properties and these changes may not all be explicit in its name. Also, the total number of chemical compounds one may have to deal within a particular field may run into millions. These are just a few of the reasons why we need a new generation technology – the Chemical Semantic Web (CSW), to manage chemical compounds. Here we describe a technique of establishing CSW using Chem-BLAST[1] and present a prototype CSW resource for AIDS research (http://bioinfo.nist.gov/SemanticWeb_pr2d/chemblast.do). Recently, we have extended (http://xpdb.nist.gov/pdb/chemblast.html ) this work to the tens of thousands of ligands held in the Protein Data Bank (http://www.rcsb.org/pdb/home/home.do ).

SeMuSe the Future of Semantic Museum Data

Executive Summary

SeMuSe is an open and collaborative community based project to work on a Semantic Museum vision, and provides a forum for discussion of the future of applied cultural and natural heritage data management. Members of SeMuSe can greatly benefit from advancements made in the Semantic Technology community. The goal of SeMuSe is to help organizations and practitioners to introduce Semantic Technologies and concepts to cultural and natural heritage data management efforts and to capitalize on the results of more than a decade of Semantic Technology research. Emerging technology standards like RDF, RDFS and OWL and domain specific vocabularies such as museumdat and the CIDOC CRM ontology specification are a marriage made in Semantic Technology heaven, allowing to lead semantic cultural and natural heritage data management to its full potential – SeMuSe.

Geo-Temporal and Social Network Reasoning with AllegroGraph; Updates on Clojure

photoSemantic Web Meetups > The New York Semantic Web Meetup Group

Session Type: Technical-Applied
Session Level: Intermediate-Advanced

Geo-Temporal and Social Network Reasoning with AllegroGraph

Ontology based mining of digital text – Internet monitoring for Investor Relations

The evolution of the semantic web brings new possibilities to handle the information overload. This paper focuses on the motivation to integrate two applications and the usage of semantic content for information managers. Analysts and executives need to understand today the value of semantic technologies in relation to business intelligence and decision making support. There are a number of mature semantic technology categories including automatic annotation, information extraction techniques, text mining and semantic navigation and search within the content.

The Semantification of Chemistry

Executive Summary

Chemistry is a central science and the data produced as a consequence is immense. However, much of this data is which makes data integration difficult. In this article, we demonstrate how chemical data can be retrieved from reports, scientific theses and papers or patents and discuss how these sources can be processed using natural language processing techniques and named-entity recognisers to produce chemical data and knowledge expressed in RDF.

Actualizing Future Web Knowledge Distribution

Executive Summary

The future web is expected to evolve into a situation aware web that surfaces the hidden knowledge of enterprises and individuals and enables greatly more powerful paradigms. Actualizing these requirements demands a semantic technology that is magnitudes greater in efficiency and performance than conventional layered technologies.

Deploying Semantic Technology Within an Enterprise: A Case Study of the UCB Group Project

Executive Summary

This case study explains the development and deployment of the Immunisation Explorer, a newly created business application within UCB Group that has been developed to exploit the semantic services provided through the Metatomix Semantic Platform.