Browsing Posts in Web Search Engine

With the advent of the Web, search has become the prominent paradigm for information seeking, both across the online space and within enterprises. Search frameworks and components can be used to build search-based applications in diverse vertical fields. However, no precise engineering methods and approaches have been devised for this class of applications.

This tutorial, offered at the 10th International Conference on Web Engineering, presents the peculiarities of advanced Web search applications, describes some tools and techniques that can be exploited, and offers a methodological approach to development. The approach proposed in this tutorial is based on the paradigm of Model Driven Development (MDD), where models are the core artifacts of the application life-cycle and model transformations progressively refine models to achieve an executable version of the system. To cope with the process-intensive nature of the main interactions (i.e., content analysis, query management, etc.), we describe the use of Process Models (e.g., BPMN models). Indeed, search-based applications are considered as process- and content-intensive applications, due to the trends towards exploratory search and search as a process visions.

SearchMonkey allows developers and site owners for making Yahoo! Search results more useful and visually appealing, and drive more relevant traffic to their sites.

  • Technology analysis
    • Site owners are invited to make structured data available as Microformats, RSS, RDF or any data feed
    • Developers are invited to program SearchMonkey application that uses the structured data made available by site owners in making results more useful and visually appealing Final users are invited to add SearchMonkey applications to their Search Gallery in order to get more useful and visually appealing results
  • Business model analysis
    • site owners can gain more traffic for their sites, thus more visibility of their contents and selling advertisement spaces to a higher price.
    • developers can gain by offering consultancy services
    • Yahoo! gains in terms of traffic (thus higher price for sponsored links) more useful and visually appealing results

[Website http://developer.yahoo.com/searchmonkey/]

LeapFish is a search aggregator that retrieves results from other portals and search engines, including Google, Yahoo, Live Search, Blogs, Videos etc…. It is a registered trademark of Dotnext Inc.

Leapfish is a type of metasearch site known as a search aggregator. Search aggregators compile and list the results taken from other search engines, in addition to providing their own content (generally in the form of advertising or result positioning based on internal algorithms.

In the case of LeapFish, the top results of any given search can be advertisements, where an individual or company can pay a registration fee to LeapFish to be positioned at the top of the result list in response to certain keyword searches.

[Surce Wikipedia http://en.wikipedia.org/wiki/Leapfish]

[Website http://www.leapfish.com/]

Powerset is a company based in San Francisco, California that is developing a natural language search engine for the Internet.

Powerset is working on building a natural language search engine that can find targeted answers to user questions (as opposed to keyword based search). For example, when confronted with a question of the form ‘which U.S. state has the highest income tax?’, conventional search engines ignore the question and instead do a search on the keywords ’state, income and tax’. Powerset’s product, on the other hand, attempts to use natural language processing to understand the nature of the question and then to search and return a subset of the web that contains the answer to the question. If it works, results from Powerset’s search engine would have a higher relevance than results from a keyword search engine. From a commercial standpoint, advertising on the results page could also be more relevant and could have a higher revenue potential than that of keyword search engines.

Currently, the company is in the process of “building a natural language search engine that reads and understands every sentence on the Web.” The company has licensed natural language technology from PARC, the former Xerox Palo Alto Research Center.

On May 11, 2008, the company unveiled a tool for searching a fixed subset of Wikipedia using conversational phrases rather than keywords.

On July 1, 2008, Microsoft signed an agreement to acquire Powerset

[Source Wikipedia http://en.wikipedia.org/wiki/Powerset_(company) ]

[Website http://www.powerset.com/]

Cuil

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Cuil (pronounced [ku?l], “cool“, according to the creators) is a search engine that organizes web pages by content and displays relatively long entries along with thumbnail pictures for many results. It claims to have a larger index than any other search engine, with about 120 billion web pages. It went live on July 28, 2008.

Cuil is managed and developed largely by former employees of Google: Anna Patterson, Russell Power. The CEO and co-founder, Tom Costello, has worked for IBM and others. The company raised $33 million from venture capital firms including Greylock.

[Source Wikipedia http://en.wikipedia.org/wiki/Cuil]

[Website http://www.cuil.com/]

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