Technology

Semantic Map application sounds familiar to you?

Technology: Moving forward, Homehost.com will harvest content from every social media site worldwide, index, and mine content through homehost.com sophisticated “Aggregation Engine”. HH is an Engine that automatically creates structure from unstructured content.

“The Web interpreted your mind and is talking back to you”! murad sweiss

The key word is semantic context “meaningfully tracking behavior across the web”.  The Semantic Geo-tagging application establishes tags that are broken down data that are stored and can be later accessed as smart key word and key search phrases.  Semantic web is not just reading tags and sentences, but maps are now reading location and giving a meaning. HH automatically learns about the publisher and their interests as content populated through the usage of frequent phrases extracted via HH’s crawler engine which become tags;

1. Content Feed: In addition to tags added by users, a “semantic graph” is generated as users add listings, content or publish articles.
2. HH semantic DB picks out & tags certain content with semantic tags – e.g. publishers name.
3. HH app will store information make suggestions about content and share with users.  Then HH creates new semantic and rich data searchable by key words instead of filters.
4. Search filters are narrowed down to Companies, Countries, Industry Terms, Organizations, People, Products and Technologies.
5. Search Results: Meaning and knowledge gets extracted automatically from the semantic database.
6. Content is matched with listings, and tied to product and services provided to searchers.
7. Contextual information to certain types of listings is now indexed, stored and accumulated with searches. Contextual information can include books, movies, music, stocks, and so forth.  Stored contextual information continues recognizing and augmenting links to those listings.

HH semantic DB picks out & Geo Tags, reads content, recommends tags based on content, stores and shares tags with the Geo Publisher. HH Resource Description Framework (RDF) automatically creates rich semantic metadata for the content instead of filters in well under a second. Natural Language Processing (NLP) analyzes documents and finds the entities within it. Content is matched with listings, and tied to product and services provided to Geo Searchers. Finally semantic markup informs mobile devices.

Unlike other major search engines, including Google, Yahoo and MSN, HH will not be limited to analyzing keywords but will analyze full sentences. HH utilizes Semantic Rank Algorithm technology that is capable of analyzing the concept of a search query, in particular by doing sentence analysis.

To aggregate and filter information from various subprime real estate lenders by region and map that against mortgage default rates and lenders’ pools of debt by risk level in a snap. That type of easy data transformation could help avoid a financial crisis of gigantic proportions, which, some would argue, is a handy benefit worth its weight in trillions of dollar