Home > Internet Marketing, SEO 3.0, Search Marketing > SEMANTIC WEB: Latent Semantic Indexing has changed the web for good!

SEMANTIC WEB: Latent Semantic Indexing has changed the web for good!

By Mary,

What semantic means? is the study of meaning in communication.

So then what is Semantic Search?

Semantic Web, part of the new 3.0 technology is being used by the engines. Latent semantic indexing allows a search engine to determine what a page is about outside of specifically matching search query text.

This was not a big factor on Google, but all that has changed. Semantic Search is now at the core of its search engine technology.

Semantic technology is a human-software architecture that identifies associations and concepts related to a query. It allows the robots to read keywords but also the similarity between them and the links within a site to make sense of what a page is about.

Another way to picture this is to use a cube where all these factors need to be moved around and compose a perfect six-sided match. It’s the same way with semantic search–3-dimensional approach. The bot engine comes to a site and does no longer look at one side of your page, it reads throughout the entire site meaning, by observing closely at the composition of the contextual elements to determine where the site stands as a whole. For instance, if you search for “web design” a semantic search engine might retrieve documents containing the words “HTML”, “Dreamweaver” and “video training”, even if the word “web design” is not found in the source document.

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A semantic search engine automatically identifies the concepts structuring the text content.

“For example, if you search for ‘principles of physics’, our algorithms understand that ‘angular momentum,’ ’special relativity,’ ‘big bang’ and ‘quantum mechanic’ are related terms that could help you find what you need,” wrote Ori Allon, technical lead of Google’s Search Quality team, and Ken Wilder, team engineer at the company’s Snippets project on their blog.

In January of this year, during Google’s fourth-quarter earnings conference call, CEO Eric Schmidt touched briefly on this topic, hinting that the company is getting more serious about semantic search technology. “Wouldn’t it be nice if Google understood the meaning of your phrase, rather than just the words that are in the phrase? We have [done] a lot of discoveries in that area that are going to roll out [soon],” Schmidt said.

Microsoft is in the workings as well. Last year they acquired Powerset, one of the companies developing and perfecting semantic search engines, in order to improve its Web search engine with semantic search technology.

And most recently, since july 19th, 2010 Metaweb is now part of Google, so very soon Google will have tools for webmasters to plug their sites into Entities.

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What are Entities?

Is a singular person, place or thing. For example, One thing could be named different ways or vise-versa, one word could mean many things. So by using the process of identifying millions of identities and what other sites use to relate to them, Metaweb (now Google) builds a map of single words into entities to show how they are related.

Entities are smarter than words. “It’s a collaborated process that involves the online community.” Metaweb explains on their blog. Wait, “community?” Does this sounds like Google is tryign to put SEO out of business? You will be the judge of that. Watch this video explaining the entire process.

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Where does this leaves current SEOs tactics?

For now, lets think of search engines as a 5 year old child, and try to talk to it in terms it will understand. So keywords are still a key on-page element. For example, it’s good to do your keyword research and use those keywords into your pages, but additionally try to use variations of SYNONYMS of the same keyword.

Other Recomendations

-Use independent topics instead of terms!

- Use close variants. This would include, singular/plural forms, misspellings, abbreviations and acronyms, and stemmings (like “floor” and “flooring”). Synonyms (like “quick” and “fast”) and related searches (like “flowers” and “tulips”) are not considered close variants.

The illustration below outlines the relative reach of different keyword match type strategies. As it shows, modified broad match keywords match more searches than the equivalent phrase match keyword, but fewer searches than the equivalent broad match keyword. Match behavior also depends on the specific words you modify. For example, the keyword formal +shoes will match the search “evening shoes,” but the keyword +formal +shoes will not.

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IMPORTANT: Keywords that have become more important than title tag (believe it or not).

-Use Keywords that trigger action or interaction with the user and/or provides the user with something valuable. Like using the following keywords: “for example,” an example of this,” “an study conducted by,” ” here is a demo,” “comment on this” (this would be for blogs), “read white paper,” “Join,” “poll(s),” “news,’ “related articles,” “follow us,” “case study.” and so on.

If you’ve noticed, some of these keywords are the description of tools that creates on-the-fly elements, otherwise called, real-time SEO [Read more about real-time SEO.] Google is reading into these real-time content generators as important factors, even more than title tags.

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For web development

Buildings sites based on entities, which is a matter of plug-in in your site to an entity data base.
(tool will soon be available on Google webmaster tools).

It’s suggested to begin using blogs instead of regular sites. For example, Wordpress can run a site just as good as any other regular website technology, and the upside is that Google is ranking sites with social factors and freshness in them. Blogs are a perfect fit for that. A blog can be designed and developed to look like a full-blown website, with the advantage of all the widgets you can add to it.

A case study on this is a recent multiple local listing I did for a client, we set up a blog specifically to rank for one of his offices in Florida. I themed about 20% with related (not relevant–how about that) local mentions and close variant keywords. In less than two days, we were ranking in third position on Google organic. In the other hand, It took about two weeks to show up on Google maps. What this means is that the blog was faster on ranking than the submission we did to Google maps.

Another option is to use SCRM. CRM (customer relationship management) is actually evolving to SCRM (Social CRM). More than a tool, Social CRM is a shift we are seeing in behavioral and interaction based not technology driven. We can see from the diagram below what this evolution means to both the company and the customer. It could be confusing for some web developers to understand that applying social elements and using CRM systems is not longer a one way street task anymore. Websites now at days need to be adapt to serve the demand for the new generation of social customers/users.


Lean LSA modeling method

“Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text.” Explains U.C.

It is essential that you understand the LSA modeling methods before using semantic applications on a website. A good way to start learning LSA is by checking the study conducted by the University of Colorado on LSA.

Apply the SVD to a term document matrix

- The intermediate dimensions correspond to “topics”

- Terms that usually occur together get bundled (synonyms)

- Terms having several meanings get assigned to several topics (polysemes)

What do we need?

- How to relate single terms to topics

- How to relate documents to topics

- How to relate query terms to topics

Note: It’s good to remember that LSI is only one of many types of NLP.

Again, providing valuable and relevant content but mixed with new semantic tactics. This is the new SEO.

Read this article on how Google Explains Social Links Are Better Than Link Building. One of the many factors semantic has changed the web for good.

Related news and articles:

More about the term Semantic Search

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Semantic search

From Wikipedia, the free encyclopedia

Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Author Seth Grimes lists “11 approaches that join semantics to search”[1], and Hildebrand et al. [2] provide an overview that lists semantic search systems and identifies other uses of semantics in the search process.

Guha et al.[3] distinguish two major forms of search: Navigational and Research. In navigational search, the user is using the search engine as a navigation tool to navigate to a particular intended document. Semantic Search is not applicable to navigational searches. In Research Search, the user provides the search engine with a phrase which is intended to denote an object about which the user is trying to gather/research information. There is no particular document which the user knows about that s/he is trying to get to. Rather, the user is trying to locate a number of documents which together will give him/her the information s/he is trying to find. Semantic Search lends itself well here.

Rather than using ranking algorithms such as Google’s PageRank to predict relevancy, Semantic Search uses semantics, or the science of meaning in language, to produce highly relevant search results. In most cases, the goal is to deliver the information queried by a user rather than have a user sort through a list of loosely related keyword results.

Other authors primarily regard semantic search as a set of techniques for retrieving knowledge from richly structured data sources like ontologies as found on the Semantic Web [4]. Such technologies enable the formal articulation of domain knowledge at a high level of expressiveness and could enable the user to specify his intent in more detail at query time.

Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Author Seth Grimes lists “11 approaches that join semantics to search”[1], and Hildebrand et al. [2] provide an overview that lists semantic search systems and identifies other uses of semantics in the search process.

Guha et al.[3] distinguish two major forms of search: Navigational and Research. In navigational search, the user is using the search engine as a navigation tool to navigate to a particular intended document. Semantic Search is not applicable to navigational searches. In Research Search, the user provides the search engine with a phrase which is intended to denote an object about which the user is trying to gather/research information. There is no particular document which the user knows about that s/he is trying to get to. Rather, the user is trying to locate a number of documents which together will give him/her the information s/he is trying to find. Semantic Search lends itself well here.

Rather than using ranking algorithms such as Google’s PageRank to predict relevancy, Semantic Search uses semantics, or the science of meaning in language, to produce highly relevant search results. In most cases, the goal is to deliver the information queried by a user rather than have a user sort through a list of loosely related keyword results.

Other authors primarily regard semantic search as a set of techniques for retrieving knowledge from richly structured data sources like ontologies as found on the Semantic Web [4]. Such technologies enable the formal articulation of domain knowledge at a high level of expressiveness and could enable the user to specify his intent in more detail at query time.

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admin Internet Marketing, SEO 3.0, Search Marketing , ,

  • http://twitter.com/Spinecor_brace Dr. Marc Lamantia

    This information is very good! didn’t know about semantic. Thx.

  • samirthukral

    hi
    Thank you for u'r post

    Samir Thukral

  • samirthukral

    Hai

    Nice post

  • AVV

    Thats interesting!

  • AVV

    Nice article Mary, thanks