| MEMBERS: | Google Analytics Training
Launched on November 2005, Google Analytics was an instance hit to all webmaster around the planet. Giving millions of people the capability to learn more about the web surfers that wandered through their website, the revolutionary service provide by the behemoth, Google incorporated, changed the way webmasters gathered and interpreted information from their websites. By simply adding a HTML code onto every web page that you want to track, you can gain insight on the behavior of your visitors and more. So how do you use Google Analytics? Though most have a limited understanding of the service, many still remain in the dark on how to use key features and just how to interpret the data. Are you finding yourself in that position? Well if you are, you are in need of some Google Analytics training. With that said, allow me to teach you some very basic ways to interpret some of the information provided by the service. One common mistake multitudes of people make when interpreting the reports section is the differences between page views and page/visit. Some just don't know what page/visit is and fewer don't know exactly what page views are. Very simply, page views are the number of times your visitors have viewed the pages on your website. Please keep in mind that page views and visits are also different as well. One visitor can view many of your web pages before leaving. Your reports can tell you that you've had one visitor and six page views. That tells you that the visitor saw six of your web pages before leaving. The page/visit metric is an average of all your visitors and all your page views. It tells you how many pages each of your visitors on average viewed before leaving your website. The page views and page/visit are very simple, yet very powerful metrics that will help you keep track on your website's performance. Even though that is just the tip of the iceberg when it comes to getting the full Google Analytics training, the basic information I provided should have opened up your eyes to see the value that Google Analytics provides. Before you even think about using this service make sure that you get complete training so that you can get the most out of it.
San Francisco Web Development - Tools
Web development encompasses many stages i.e. Planning, Analysis, Web design, Implementation, Promotion and Innovation. Each of these stages requires use of different sets of tools and professionals with varied skill sets. Planning and Analysis don't require as many software tools as the experience of the web master or project director. They need working knowledge with all aspects of server and database. Familiarity with Operating Systems and the Internet server applications are required. Experience with IP networks, programming languages and database development are also essential. The two most common Operating Systems used are Windows NT/2000 and Unix, although many also use Linux. Most commonly used Internet programming languages include PERL, CGI, ActiveX, ASP, and Java among others. In the next stage of Web designing, tools such as HTML Meta tags, JavaScript, CGI, Macromedia Flash, Macromedia DreamWeaver and Adobe Photoshop are used. Web templates, graphic designs, photographs, texts, clippings, audio and video are also included, as per the requirements. Flash helps in animation that gives an identity to a website. Visual Basic is the most common language for scripting and SQL with other database engines are used for database management on the website. To create Search Engine Optimized content, tools such as Overture are used. Once the most popularly searched words in your industry are identified and short-listed, the content creators write content using these search words. This ensures that your website lists high in the search engines and directories. In the Implementation stage, the website is implemented and tested on various browsers. Any functional errors, if found, are corrected. The Promotion and Innovation stages, help in marketing a website. Pay-Per-Click Search Engine Promotion, Loyalty Programs, Email Campaigns and Online Games are some tools used for website promotion. Tools such as site statistics software and reporting from site searches let you know what exactly your visitors are looking for. The content and marketing strategies are then adjusted accordingly. A website also needs to be maintained and continuously evaluated and updated with respect to content, presentation, layout and technical aspects. Use of good web development tools ensures that your pages have good content, Meta tags, a high link popularity score, appropriate keywords and visual appeal. Although web development tools are essential, it also takes a seasoned team of programmers, graphic designers, content creators, consultants and marketing staff to work in tandem to create a technically sound, visually appealing and highly functional website. A well-planned site, apart from being high in functionality, is also easy to re-design or alter, at a later stage.
Semantic Web
Introduction Semantic web as defined by the creator of the web Tim Berners-Lee is "a web of data, in some ways like a global database" (Berners-Lee, 1998). To elaborate further Mr. Berners-Lee explains in an interview held by IDG Now, data is expressed on computers as associated files with applications that deal specifically with information, an example would be, data in calendars, bank systems, spreadsheets, and database application. Looking at a web page, data is not clearly defined and not associated with any of the applications usually on computers. Semantic web will allow data to interact and connect together; it will bring on a common data format for all applications, for databases and web pages alike (Moon, 1999). Semantic web is not to build an artificial intelligence system which allows computers to understand what humans write on web pages; on the contrary, it is an attempt to make web pages more understandable and well-defined to support automatic extraction of data from within web content (Berners-Lee, 1998). Analysis The emergence of the web and the way HTML took off was driven by how society's needed to grew, from Internet chat to file transfer to high-end communities through blogs and wiki's. HTML was not limited to web content, knowledge base and help files adapted the language as a format to document software applications and provide training material. The revolution of technologies on the Internet allowed companies like Google to index pages; a thought that was very far away, says Tim Berners-Lee in his lecture at MIT. Web services have evolved to pave the road for distributed information and modular programming allowing interoperability among sites. Through XML, data in one site can be used by another using the common protocols and standards supported by both (Berners-Lee, 1998). XML defines schemas that deal with fields of data, what is required is a system that can tell the computer what sort of information (data) it can derive from within a page (Moon, 1999). With Web 3.0 a site will provide data that can be navigated through and extracted from multiple sites, this is a result of the fact that semantic web data model is closely related to a relational database where records of data share common fields that connect them together (Berners-Lee, 1998). The solution provided to support semantic web is in the form of metadata that describes the data contained on web pages. Resource Description Framework (RDF) is a base to manage metadata; it is the ground that computers can use to exchange and interact with applications on the Web (W3C RFC, 1999). The applications for RDF include digital libraries, online catalogs, and indexing systems that are usually associated with content and content relationships models deployed in most web pages. With RDF data within business portals will be analyzed and identified as resources, properties, or statements transparent to the domain, further more, the specifications will merge with other documents to comprise a framework of classes. Classes organized as a hierarchy comprises a schema that can be reusable as metadata definitions along side multiple platforms. Resources created in this hierarchy can be identified using a resource identifier (URI), which enables a document given to a machine with this identification to be recognized by the system and triggers it to dig and find similar data (Berners-Lee, 1998). Implications Semantic web can be the solution to overpower the limitations of current information management systems in finding and extracting data from unorganized resources. RDF is meant to describe any data regardless of its character, location, source, or type, the concept of URI is richer to uniquely identify any object on the web (Berners-Lee, 1998). The pillars of Semantic web are standards and common protocols that are the bases for knowledge representation; HTML, RDF, the data language resource description web ontology language (OWL) that describes to the machine what is going on, in addition to RDF1 which is a query language to make inquiries among machines much easer, will all emerge and collaborate to bring in more to the web and more intelligent programs that will bring the Internet more closer (Cleave, 2004). The current research and implementation of Abilene network and the Next Generation Internet (NGI) Internet 2 of high-performance backbone network linking major universities and research labs across the US, is a good foundation for what Semantic web can do, and represent the perfect platform for grid computing, digital libraries, virtual laboratories, and distance learning (Abilene, Internet2). Internet2 or I2 was developed by a group of universities in 1996 providing improved connectivity standards to reach 10gbps (gigabits per second). With more than 227 universities and libraries connected, network based applications and experimental programs can run on this network of high-bandwidth connection feeding on the latest technology of gigabit Ethernet and IP protocol version 6 (Reardon, 2004). Semantic web standards can be the base of material and data distributed on this network, providing the best test platform to explore the full potential and what can be achieved. Conclusion Tim Berners-Lee believes that with Web 3.0 we can succeed and fantastic things can happen, but the infrastructure need to be built, laws of privacy and security need to be revised and honored, further more, the web need to remain open for researchers to allow for continuous upgrade and development. Semantic web will kick off when individuals materialize the need to work on data processing, and think about collaborating their data, with company's information and that of the government (Moon, 1999). References:
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