Image from jurvetson on Flickr.
in this talk I will try to predict the future of the semantic web based on a very personal view of its history, the history of the internet, web, semantic web, and AI, and the mistakes I've made predicting where and how they would be valuable.
"[A]s we selected the articles for this issue, we realized that there was an 'emergent' theme of AI, agents, and the World Wide Web. The topics covered here --- the Semantic Web,content personalization, recommender systems, and personal agents --- fit together in a clear and exciting way. Together, they indicate a breakthrough in AI --- as our field explores new ways to utilize intelligent systems' powerful tools on the ever-expanding, continually changing information space that’s the World Wide Web."
With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. The Web mining research is at the cross road of research from several research communities, such as database, information retrieval, and within AI, especially the sub-areas of machine learning and natural language processing. However, there is a lot of confusions when comparing research efforts from different point of views. In this paper, we survey the research in the area of Web mining, point out some confusions regarded the usage of the term Web mining and suggest three Web mining categories. Then we situate some of the research with respect to these three categories. We also explore the connection between the Web mining categories and the related agent paradigm. For the survey, we focus on representation issues, on the process, on the learning algorithm, and on the application of the recent works as the criteria. We conclude the paper with some research issues.
G.E.’s effort, analysts say, shows that Internet-era technology is ready to sweep through the industrial economy much as the consumer Internet has transformed media, communications and advertising over the last decade.
...scientists will need to create a new generation of visual search technologies — or else, as the Stanford computer scientist Fei-Fei Li recently put it, the Web will be in danger of "going dark."
Now, along with computer scientists from Princeton, Dr. Li, 36, has built the world's largest visual database in an effort to mimic the human vision system. With more than 14 million labeled objects, from obsidian to orangutans to ocelots, the database has because a vital resource for computer vision researchers.
Tags Google began rolling out a feature that gives searchers in the United States the potential to access more relevant and in-depth responses to answers without leaving the page. The search results page displays a variety of content related to keyword queries, bringing up a list of facts, photos, and landmarks, as well as quick links to other popular uses for the search term. Rob Garner, vice president of strategy at agency iCrossing, said Google's knowledge graph takes another step in the company's long transition to develop an artificial intelligence engine -- semantic search. The change represents an effort by search engines to move away from text-based links in search results and serve up knowledge in fewer clicks.
Innovation in Web search using artificial intelligence may lead to the day when you could expect the Web to do the tedious tasks for you.
"Search is like oxygen for many people now, and considering Google's breakthroughs in Web document analysis, supercomputing and Internet advertising, it can be easy to think this is as good as it gets. But some entrepreneurs in artificial intelligence (AI) say that Google is not the end of history. Rather, its techniques are a baseline of where we're headed next. For example, one day people will be able to search for the plot of a novel, or list all the politicians who said something negative about the environment in the last five years, or find out where to buy an umbrella just spotted on the street. Techniques in AI such as natural language, object recognition and statistical machine learning will begin to stoke the imagination of Web searchers once again. 'This is the beginning for the Web being at work for you in a smart way, and taking on the tedious tasks for you,' said Alain Rappaport, CEO and founder of Medstory, a search engine for medical information that went into public beta in July. 'The Web and the amount of information is growing at such a pace that it's an imperative to build an intelligent system that leverages knowledge and exploits it efficiently for people,' he added.... Rappaport said one of the more recent progressions in AI has been in moving from relying on humans to catalog connections between various data to programming computers to do the work, or what he calls the automation of knowledge structure. Tom Mitchell, chair of machine learning at Carnegie Mellon University calls it machine learning for statistical language processing, or learning algorithms that allow computers to read text.... Technologies like speech recognition will fuel advances.... The field of AI called computer vision, which encompasses facial detection and recognition, is coming of age for several reasons."
The inventor of the web, Tim Berners-Lee, outlines his ideas for a more "intelligent" web in an interview with the BBC programme, Go Digital.
"W3C)develops interoperable technologies (specifications, guidelines, software, and tools) to lead the Web to its full potential. W3C is a forum for information, commerce, communication, and collective understanding. On this page, you'll find W3C news, links to W3C technologies and ways to get involved."
Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously...
What if large groups of people could go beyond ridesharing --- replacing traditional car ownership altogether through on-demand access to the cars they want: a convertible in the summer, an SUV for winter ski trips?