Semantic Search and Rich Media
Text is still the key driver of search and navigation across the
Internet. It is the most efficient and effective method of communicating
'meaning'. However, with the prevalence of rich media on the Web,
'Semantic' search is becoming more important as a way of locating
and navigation through the vast amount of audio and video.
Semantic Web adds structure to text by creating an additional layer
of meaning around a content object. Computers are still not that
competent at discerning context. Even advanced business intelligence
tools require user text content to define data relationships and
add meaning to analytics information.
Howver, when text is combined with structure it adds that much
needed element to wrap meta data around content - articles, photos,
podcasts, videos.
Meta data is 'information about information'. In text form, is
provides the 'currency' of the Semantic Web. In time, search engines
will rely on rich meta data for content discovery, presentation,
contextualization, and ad targeting.
A simplisitc example of meta data used online is Googles PageRank.
It provides more information about the information on the web page
by interpreting which pages link to each other, and using this data
to calculate an authority and popularity of an individual page.
Behavioral targeting and collaborative filtering are other good
examples of use of meta data online. The success of behavioral targeting
and collaborative filtering depends on two elements:
- deep knowledge of the user
- deep knowledge of the content
Unfortunately knowledge of each one, depends upon the other. High-quality
content meta data provides more robust behavioral profiles, whether
for ad targeting, recommendations, rankings, etc.
The application of semantic search extends beyond the boundaries
of the Web, with corporate enterprise knowledge extending into multimedia
content. As business intelligence tools seeks to include both structured
and unstructured data in their analytic queries, the need for ALL
content to have a complete and consistent set of meta data attached
is critical to being able to unlock the 'intelligence' contained
within the content.
As our business and personal worlds both move towards multimedia
at an increasing rate, the Semantic web is escalating in importance.
Without key content objects possessing the native capability to
present themselves as text, the ability to attach scalable descriptive
titles and tags is the beginning of ensuring complete intelligence
and media visibility and access in the future.
What gets tagged - gets found!
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