web 3.0?

  


 

web 3.0?   
차세대 웹? 
emerging web trends?


이제는 식상하기 그지없는 'web + 버전 번호' 조합. '차세대'라는 말이 붙는 순간 갑자기 싸구려가 되어버리는 어감. Emerging web trends는 차세대 웹이나 도찐개찐..

어쨌든, 이런 수사들이 가리키는 포인트는 과연 어디인가 한번 돌아볼 때가 된듯 싶네요.

한 웹중독자(접니다. -_-)의 웹서핑 시간들이 최근 가리키고 있는 포인트들은..

human-powered web
augmented reality

semantic 이라는 키워드는 여전히 유의미하고 앞으로도 그럴테지만, 관련 분야의 기술적 발전 속도는 상당히 느린(?) 편인데 반해 사람들의 관심도는 한동안 대단했었기 때문에.. 이제는 이거 자체로는 한식 메뉴에 쌀밥같은 그런 느낌이네요. contextual web도.. 가장 일반적으로 쓰이고 있는 의미로서의 contextual web이라면, AJAX - web2.0의 완벽한 연장선상에 있는 것이라 봐야 겠죠. 

공감하실 분도 계시고 공감 못하실 분들도 계실텐데.. 하나 하나 시간 되는대로 풀어서 써 볼 예정입니다.
정말 패러다임 쉬프팅이라 할만한 건 두번째인듯. 기대가 많이 되네요.

여기에 sci-fi 적인거 몇개 추가해 보면.. 브라우저-데스크탑OS환경 통합, 그래픽카드의 파워를 사용하는 브라우저, 브라우저에서의 3D가속, 스트릿뷰의 3D 오브젝트화, 그리고 그위에 펼쳐질 virtual & augmented 리얼리티. 쩝. 침이 고이네요. 물론 (웹환경이 꼭 여기로 갈거다 예언할만한 그릇은 못되는) 제 즐거운 상상일 뿐입니다.


 
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사족:
한동안 그나마 끼작끼작 블로그질이라도 하면서 제 시간을 되돌아 보고 정리도 하고 했었는데, 기획, 개발, 특허문서 작성에 파묻히다 보니.. 그렇다고 웹서핑 시간이 줄어든 것은 아닙니다만. 마침 지금 만들고 있는 웹어플도 '정리용' 인지라, 얼릉 만들어서 거기에 정리 해야지 했는데 몇달이 휘딱 가버렸네요. 여튼, 베타 임박.

trends  2009/07/15 02:23
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사용자 삽입 이미지

by some bored people @Nokia
출처 링크: fivedollarcomparison.org


mashup  2008/12/30 13:59
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Researcher Claims “Attention Spirals” Hold Key To Predicting Success Of YouTube Videos
...


Crane claims every time a YouTube video turns into a hit, the development takes the form of an “attention spiral”, a geometric pattern that partly follows physical laws. He discovered that a decrease of popularity with certain videos, for example, can be explained through methods usually utilized in modeling the aftershocks of earthquakes. He believes social systems on the web follow the rules of physics and can therefore be analyzed mathematically.

After researching the usage of about 5 million YouTube videos over 8 months, Crane found out that only 10 percent are viewed more than 100 times a day. According to Crane, the popularity of these videos can be measured through distinguishing whether a burst of activity was observed after a large-scale “exogenous” (external) shock or whether it’s the result of a number of smaller “endogeneous” (internal) factors that had a cumulative effect. Also, it seems to be important to take into account the extent to which web users can influence others to take action (what he calls “critical” vs. “subcritical,” where the latter term means exerting influence is impossible).

Crane categorizes especially popular videos into three different classes:

  • “junk” (exogenous subcritical type, videos that quickly pick up and lose viewers)
  • “viral” (endogenous critical type, videos spreading through the site through word of mouth)
  • “quality” (exogenous critical type, videos that attract attention quickly and only slowly lose their appeal over time because of their high quality)
Junk videos are characterized by a significant peak that contains the vast majority of views and fail to spread through the site. In contrast to quality videos, viral videos show precursory growth before peaking out and decaying slowly: It takes time for the endogenous phenomenon to build up and spread within the network. Quality videos, however, reach the peak much faster as a reaction to an external “shock” but also decay slowly.

Crane claims that viral and quality videos show very characteristic patterns over a specific period of time, supposedly making it possible (through the analysis of tendencies) to predict if a video has the potential to become a super hit.

The final goal is the development of an encompassing and science-based online trend monitoring system. The university newsletter writes (German only) Amazon is currently in negotiations with Crane to integrate his model into its site, hoping to predict the potential of newly listed products at an early stage.

...

출처 링크: TechCrunch

sci + tech  2008/11/19 10:26
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