After reading through both chapters 13: The Structure of the Web and 14: Link Analysis and Web Search, I felt like learning some more about semantic search engines and INs (information networks) so I began to tear through the web looking for information. I was primarily using Wolfram Alpha, Google, and Wikipedia to search and found topics about information-network types and their applications, strengths and weaknesses, evolution through history, and people plus the supporting firms that have helped develop the most comprehensive and sophisticated literature on information networks. I stumbled upon an blog by google after watching a video from Facebook about its new graph search and came up with some interesting thoughts.
The “tear” I was on seemed analogous to a chain of free-association that was introduced in the 13th chapter of our text.
As Easley and Kleinberg phrased this phenomenon “Indeed, browsing through chains of cross-references is closely related to the stream-of- consciousness way in which one mentally free-associates between different ideas.”
The semantic network, this can be a collection of concepts that are linked through a series of edges representing logical connections that emphasize the relationships or perceived relationships between the concepts. Maybe the most interesting thing about semantic networks to me is just how huge these webs of information might actually be. There are large implications about power, value, and use that also bubble to mind. Important to note: the idea of a semantic search is to provide a person with what they were looking for, not a list of things that contain the referenced words of the search, but the recognition of the meaning and relation of the words within their context of the search.
Google Knowledge is one Sergey and Page’s latest gift to the web. The goal of Google Knowledge is to unleash greater understanding of the users searches and make meaningful connections between the search words, their meaning, and recognition of relationships to other things, the capabilities of the system are designed to self-improve. This way the discovery of information is made easier through extracting summaries and key information bits, all which aim to enhance the searches delivery to user. In a Similar tone of searching life-simplification Zuckerberg and his cohorts at Facebook are unveiling their graph search feature. The highlight of this service owing to its ability to pull from peoples public information sharing to connect two or more of a kind. Both derive their economic power from their semantic search capabilities used to navigate the vast and complicated realm of connections throughout the many information networks these systems span.
How might Web 2.0 attitude adapt or change from the previous three forces:
- (i) the growth of Web authoring styles that enabled many people to collectively create and maintain shared content;
- (ii) the movement of people’s personal on-line data (including e-mail, calendars, photos, and videos) from their own computers to services oered and hosted by large companies; and
- (iii) the growth of linking styles that emphasize on-line connections between people, not just between documents.
Thoughts, ideas, angry words to differ? Bring it on.