Clojure for the Semantic Web - Digital Digressions by Stuart Sie
I dropped in to hear Rich Hickey talk about Clojure at the New York Semantic Web meetup group. Some highlights: • Some programs, like compilers or theorem provers, are themselves functions. They take input and produce output. Purely functional languages like Haskell are good for these kinds of programs. • Most Clojure programmers go through an arc. • Rich recommended a paper, Out of the Tar Pit, for a discussion of functional and relational techniques to manage state. • Clojure’s data structures are persistent. • The first thing Rich did when experimenting with the semantic web was to pull data out of the Jena API and get it into Clojure data structures. Screencasts and code from the talk should appear soon — watch clojure.org or the Clojure Google group for an announcement.
URL vs. URI vs. URN: The Confusion Continues
A year has passsed since my last post on URIs and URLs and it would seem that some of the concepts are still lost on some folks. With that said, I figured I’d throw up another post that I could try and address some of the questions raised in the comments of both posts. URLs and URNs are both URIs This is one point that can’t be stated enough. Examples of URLs and URNs: People have also suggested that these posts could have been more helpful if I had provided some examples that illustrate the difference between a URL and a URI. Again, all of the examples above are all valid examples of URIs. There’s a very informative page by Tim Berners-Lee that provides a lot of good deails on Uniform Resource Identifiers. “The only thing you can use an identifier for is to refer to an object. When you followed the link to this page, you didn’t have to do anything other than clicking it. Can we say that:“ No. Another commenter also asserted the following:
What is the Semantic Web?
Introduction Many people are not clear as to what the Semantic web is, and as we are the Semantic Web Agreement Group, we need to define it for people. Therefore, here is an attempt at a clear view of the Semantic Web:- The Semantic Web is a Web that includes documents, or portions of documents, describing explicit relationships between things and containing semantic information intended for automated processing by our machines. It operates on the principle of shared data. Clear Intent Although the SW is a Web of data, it is intended primarily for humans; it would use machine processing and databases to take away some of the burdens we currently face so that we can concentrate on the more important things that we can use the Web for. Practical solutions include the use of XSLT to derive RDF from XML sources, the work on topic maps and RDF convergence, the emergence of general-purpose RDF databases and engines, and general and specific GUIs for RDF data. - XML.com An Example Data:- Filter:-
RelFinder - Visual Data Web
Are you interested in how things are related with each other? The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: The RelFinder can easily be configured to work with different RDF datasets. The RelFinder can also be more deeply integrated with your project: Integrating the RelFinder See the following examples of how the RelFinder is integrated into other projects: Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. All tools on this website are research prototypes that might contain errors.
Guide to the semantic web
Heart Attack: Detecting Heartbleed Exploits in Real-Time
The OpenSSL Heartbleed vulnerability is proving to be one of the bigger vulnerabilities the security community has seen. As vendors and administrators scramble to patch their systems and users struggle to identify what sites are safe to use, hackers are taking full advantage of the vulnerability. Tripwire’s VERT team has quickly deployed the most robust coverage for detecting the vulnerability through IP360, PureCloud and SecureScan. What if we also want to monitor and be able to identify when the exploit is being used against us? Using a combination of an IDS and Tripwire Log Center allows us to do just that. Heartbleed & Honeypot There are several versions of the Heartbleed exploit actively in the wild, some are simply being used to test if systems are vulnerable, as well as more robust versions available in Metasploit and other frameworks. Successful Heartbleed Exploit Attempt I can now easily act on these alerts and correlate them to other events in my environment. Related Articles:
Planète Web Sémantique
Large-scale RDF Graph Visualization Tools
AI3 Assembles 26 Candidate Tools The pending UMBEL subject concept “backbone” ontology will involve literally thousands of concepts. In order to manage and view such a large structure, a concerted effort to find suitable graph visualization software was mounted. This post presents the candidate listing, as well as some useful starting resources and background information. A subsequent post will present the surprise winner of our evaluation. Starting Resources See Various Example Visualizations For grins, you may also like to see various example visualizations, most with a large-graph bent: Software Options Here is the listing of 26 candidate graph visualization programs assembled to date: Cytoscape – this tool, based on GINY and Piccolo (see below), is under active use by the bioinformatics community and highly recommended by Bio2RDF.org GINY implements a very innovative system for sub-graphing and allows for stunning visuals. headline: alternativeHeadline:
