Three reasons why the Semantic Web has failed
It’s going the route of artificial intelligence. From hype to back-end implementation where nobody sees it.
“The focus on the semantic web was fun, but ultimately missed the big picture, which is people care not about knowledge graphs but about the people and current events happening in their social graphs.”
(Dominiek ter Heide ~ GigaOm) ~ courtesy of mikeatherton
The great shift in search
Search is less important than find and use. Engines are just level one.
“Search is evolving to fit the needs of users who don’t just want a web site, but the actual answer to the question driving the search. To stay on top semantic search technologies are key.”
(Charles Silver ~ GigaOm)
Web science: A new frontier
Scientists getting their heads around the largest information machine mankind ever made.
“During the past 20 years, humans have built the largest information fabric in history. The World Wide Web has been transformational. People shop, date, trade and communicate with one another using it. Although most people are not formally trained in its use, yet it has assumed a central role in their lives. Scientists and researchers cannot imagine their work without it. Governments interface to their citizens using it. Media are seeing the nature of their industry change because of it. Travel, leisure, health, banking, any sector one can think of are changed by what we have created. The Web is now ubiquitous, and like all things that become commonplace, we take it for granted. This is true for the great majority of users. Until recently, it was true for researchers too. Over the past few years, there has been a growing recognition that the ecosystem that is the Web needs to be treated as an important and coherent area of study—this is Web science.”
(Nigel Shadbolt, Wendy Hall, James A. Hendler and William H. Dutton ~ Philosophical Transactions of The Royal Society)
The Internet of Things to Come: Elements of a ubiquitous computing innovation ecosystem
So, the next internet is approaching rapidly. I hope people can handle it.
“In the end what I am describing here is not the Internet of Things, or ubiquitous computing, but it is the innovation ecosystem that will lead to the Internet of Things.”
(Mike Kuniavsky a.k.a. @mikekuniavsky ~ Orange Cone)
tFacet: A tool to build faceted navigation
“The aim is to facilitate ordinary users to formulate semantically unambiguous queries so as to support the fast and precise access to information. Used interaction concepts are e.g. a directory tree and interchangeable columns that are already well-known from other applications. The directory tree, for example, is used to enable the intuitive exploration and selection of hierarchical facets.”
“(…) a set of principles and techniques analyzing the evolution of decentralized semantic structures in large scale distributed information systems. Emergent semantics approaches model the semantics of a distributed system as an ensemble of relationships between syntactic structures. They consider both the representation of semantics and the discovery of the proper interpretation of symbols as the result of a self-organizing process performed by distributed agents exchanging symbols and having utilities dependent on the proper interpretation of the symbols. This is a complex systems perspective on the problem of dealing with semantics.” (Philippe Cudre-Mauroux ~ SOKS 2010
Edging Toward the Semantic Web: Protocols, Curation, and Seeds
“The evolution from an interactive Internet (often called Web 2.0) toward a more intelligent, semantic web will not happen as a result of dramatic new inventions or jointly agreed standards, but through a gradual evolution and recombination of existing technologies. To get to a Web 3.0, we will need to first create (and maybe be satisfied with) a Web 2.5, and that will happen through the gradual evolution of effective, user-based interaction protocols (based on user dialogues) and the use of queries as information passing mechanisms.” (Espen Andersen ~ Ubiquity November 2010 issue