March 7, 2014
By Jason Ohler, Ph.D./©2008
When the Web first appeared at my university, I used a very early browser to search for the word “education” and received only a few pages of hits. It seemed like such a tease. As with many of my colleagues at the time, the question on my mind was, “When will the World Wide Web actually get here?”
What happens when we ask a simple question and get so much information that we can’t sort through it, let alone evaluate its trustworthiness? What happens when we get so much information that we can’t understand it well enough to figure out how to recast our question in ways that might make the response more manageable? What do we do when we realize that having too much information is no better than having too little since neither allows us to act more responsibly?1
To understand what the Semantic Web offers, consider a simple search example. Currently, if you want to know my phone number, you need to go to my Web page and root around until you find it. That’s because the current coding system used to build Web pages, largely HTML, displays information without identifying it in any meaningful way. That is, my phone number is not coded as “a phone number.” It simply appears as a series of characters on the screen, requiring a human being to recognize what it is. Contrast this with a database about your friends that contains a specific column called “phone number.” Even if your database includes millions of entries, locating a specific phone number is an easy task.
The Semantic Web converts “display only” information to meaningful information by tagging it with descriptors like “phone number.” Further, it allows users to find relationships between tagged information (like phone number and mailing address) using inference rules and data organizational tools called “ontologies” that provide logic and structure to the information embedded in Web pages. Taken to its extreme, the Semantic Web becomes a heavily tagged, relational database on steroids that connects all technologies, from book chapters to cell phones to Second Life. As a result, computers can do a good deal of the information grunt work that is currently reserved for humans. When it comes to a Web search, for example, the Semantic Web will do a reasonable job of collating, cross-referencing, and synthesizing the results for you. It does this in part by employing software agents that can find, distill, and exchange information with other agents to build meaningful information collages.
As Tim Berners-Lee pointed out, the ultimate goal of the Semantic Web is data integration.2 Because the Semantic Web understands my phone number, it can relate it to another semantically defined term, such as my address. It can then relate that to other semantically defined concepts like walking distance, postal rates, climate, or driving directions to the nearest airport. In practical terms, it can then help me plan for a vacation, chart driving directions, and plan activities while I am en route. It is the use of common definitions, inference rules, and ontologies, as well as proactive tools like Web agents, that will turn the Web from a thicket of superficially connected information containers into an ecosystem in which the parts of the Web are truly interrelated. In so doing, it will give the Web the appearance, but not yet the reality, of being able to think. The reality will come much later.
Let’s consider the potential impact of the Semantic Web on three basic areas within the educational arena: knowledge construction, personal learning network (PLN) maintenance, and personal educational administration.
In one vision of a well-developed Semantic Web, a search returns a multimedia report rather than a list of hits. The report draws from many sources, including Web sites, articles, book chapters, blog dialogue, YouTube presentations, cell-phone memory, virtual reality resources—anything that is accessible by the rules of Web 3.0. The information in the report—which may be very wiki-like in structure3—would be compared, collated, and synthesized in a basic way, presenting points of agreement and disagreement, and perhaps evaluating these in light of political positions or contrasting research. The information would also be personalized, alerting us to personal and even local resources based on our profiles. Ideally, the Semantic Web reduces the amount of time we spend searching and sifting so that we can spend more time thinking and participating.
Each of us spends far too much time searching the Web, trolling blogs, wading through long podcasts, and so on just to find the few nuggets we can use for our personal learning networks (PLNs). Besides being inefficient, this approach to managing our own educational resources can often lead to inaccuracies simply because we run out of the time or motivation to do a thorough job.
One of the primary shifts under Web 3.0 is that PLNs could be built around subjects and information relationships rather than tools and services. Personal learning agents would identify relevant information from any source that is semantically accessible and provide an information synthesis tailored to a personal learning objective.
Universities and other educational institutions tend to be isolated entities that don’t play well together. But even if the economic and turf concerns that cause this were to disappear, developing a student-centered multi-institutional approach to education would still be logistically impossible because education providers typically do not share common languages to describe course or degree requirements. Students who transfer between universities will bear witness to how difficult it can be to do something as basic as try to transfer credit for Sociology 101 from one institution to another.
Semantic Web technologies have the potential to challenge institution-centric education with the same force that distance learning technologies challenge place-centric education. At some point institutions will describe courses and degrees semantically to help their own internal functioning. This will have the secondary effect of making many of the components of education somewhat comparable across institutions. The result will be that students may be able to identify comparable coursework from several education providers and, in the process, even meet the graduation requirements of yet another. Smart schools will get out ahead of this now.
Will the Semantic Web fully arrive? Absolutely—not due to forces of digital determinism, but because of what MIT computer scientist Michael Dertouzos called “the ancient human in each of us.”4 As ancient human beings, we want to develop tools that help us connect, develop relationships, and explore and understand the world around us, regardless of how technologically advanced we become. Those in the 1980s who told me e-mail would never catch on ignored the ancient human, as did those who told me just a few years ago that the world would come to see blogging as superfluous. The Semantic Web will happen. The ancient human will see to it.
Jason Ohler (email@example.com) is President’s Professor of Educational Technology and Distance Learning at the University of Alaska, and a Technos Press Author. This article first appeared in his monthly e-newsletter, SubTechst.