Marketing & Sales Videos, Search Marketing, Technology

The Problem with Web 3.0

Categorizing, filtering, tagging, collecting, querying, indexing, structuring, formatting, highlighting, networking, following, aggregating, liking, tweeting, searching, sharing, bookmarking, digging, stumbling, sorting… it’s downright painful.

In December, I predicted that 2010 would be the year of filtering, personalization and optimization. I’m not sure we’re even close yet – we might be years off. The bottom line is that we need it now, though. The noise is already deafening.

If you don’t see the video, watch Web 3.0 on the blog.

Google is still just a search engine, only providing you dumb data indexed on keywords that match your queries. I’d really like someone to build a find engine next… I’m tired of searching, aren’t you?

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Douglas Karr 

Douglas Karr is the founder of The MarTech Blog and recognized MarTech expert. Doug is a Keynote and Marketing Public Speaker. He's the CEO of DK New Media, an agency specializing in assisting marketing technology companies with their inbound marketing - leveraging social media, blogging, search engine optimization, pay per click and public relations. He's developed digital marketing and product strategies for Angie's List, GoDaddy, Salesforce, Webtrends, and SmartFOCUS. Douglas is also the author of Corporate Blogging for Dummies and co-author of The Better Business Book.

5 Comments

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  1. 1

    I’ve attempted to build you a find engine. Instead of relying on computers to filter unstructured data that is relevant to you, the find engine relies on your social network.

    Keyword overload has created a Frankenstein’s monster of complexity. Now its not enough for a small business to have a website, they have to have an SEO expert structure their content and metadata to please Google’s algorithms. This is madness.

    Hopefully Right-Time technologies including mine will help you *find* what you want, when you want it and we can escape keyword hell.

    Reply if you want to know more. I don’t want to spam you with my company name or website. Its all about “opt-in”.

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    I totally disagree. Yes, data is overwhelming if you use traditional statistical techniques for semantic problems. Google does this — resulting in fantastically long-tails of results and frustrated users.

    The emerging fields of adaptive heuristics has far greater applicability to semantics than what is discussed in the video.

    More to follow… We are working on it now.

    Thanks for the posting.

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