Avant Werx

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Avant Werx’s Search Werx is the Search Engine software for today’s enterprise faced with a disparate range of content. Search Werx allows enterprise information to be retrieved effectively through a simple interface.

Through an intuitive Search Configuration, Search Werx allows easy configuration of search engines for your website or for content repositories. As search results are collated from multiple sources, your staff spends only the time needed for searches instead of going through multiple search engines and remembering multiple URLs, user IDs and passwords.

Search Werx is highly customizable to allow gateways into different types of repositories and also works well with Content Werx, Document Werx and Knowledge Werx.

Product Architecture

Search Werx creates individual search indexes for each of the repositories that the users specify. The separated indexes allow the use of one or more of the indexes to conduct a federated search.

Due to the adoption of open standards like XML, Search Werx easily integrate with other existing repositories and search engine that the organization currently may have, enabling the organization to leverage on previous investments.

Search Werx J2EE architecture ensures that it will work in any J2EE compatible server. Existing investments in J2EE servers can be extended for use with Search Werx. Using well-documented APIs, any J2EE developer may extend the services of Search Werx to the needs of the organization, providing the organization a high return on investment.

Complete Application Infrastructure

Search Werx’s adoption of open standards and highly scalable architecture ensure easy integration and along useful life.

Using Search Werx, users do not need to be overwhelmed by the organization’s volumes of information and can spend more time on the information than searching for the information.

A Wide Suite of Tools

Search Werx provides features out-of-the-box, with user interfaces customizable to fit the corporate look and feel.

A built-in scheduler allows administrators or users to schedule searches without depending on operating system level schedulers. This maintains a familiar interface to the user to cut down on the learning curve.

Thesaurus, spell checks and soundex features help the user to expand the scope of their search meaningfully. These features help in returning accurate results, which the user would otherwise have taken a longer time to discover or not discover at all.

Taxonomy and Automated Taxonomy Generation help the knowledge workers to discover the information landscape of the organization quickly.

A friendly Noise Management Editor helps to filter out words that will be redundant in queries.

Key Features

In-Site Search	Let Search Werx creates an index of your website for search only within your organization repositories.
Boolean Search	Specify “and”,”or” and “not” to filter results that you do no want.
Keyword Search	Search Werx allows keywords search, so that “Flight” and “flight” can still produce the same results.
Phrase Search	This allows a term consisting of more than 1 word to be searched as a single search term. For example, the single words “bear” and “arms” will be quite different from the user’s intention in “bear arms”.
Metadata (Parameterized) Search	This allows metadata or fields associated with an information source to be searched.
Proximity Search	Specify the distance between 2 words.
Link Crawler	Search Werx will crawl through the links from an initial page and depth that you selected, creating or updating the search index for the site.
Auto Indexer	The search indexes can be updated instantly as new content or document is added to the repository or on a scheduled basis.
Noise Management	Restrict noises like “he”, ”her” and other common words from corrupting the search results’ relevancy.
Federated Search	This allows searches to be conducted at other search engines or third party information providers and the results consolidated.
Spell Check	Suggests word corrections to the users if Search Werx detects that the words may be spelt wrongly.
Soundex	Suggests similar sounding words to the users. For example, if the user enters “bare” and the result set is small, Search Werx would suggest the word “bear” instead.
Thesaurus	Suggests words of similar meaning to the users. For example, Search Werx would suggest world like “airplane” when the query is “aircraft”.
Refined search	This allows a search query to be performed based on the previous search results.

System Requirements

Browser-Based Client Requirements
Microsoft Windows 98
Microsoft Windows NT
Microsoft Windows 2000
Microsoft Windows XP Sun
Solaris 2.6, Solaris System 7
System 8 Macintosh 9.0

Supported Browsers
Netscape 4.7x, Internet Explorer 5.0, 5.5, 6.0

Server Operating System
Microsoft Windows 2000 and Windows NT
Sun Solaris and Linux

Application Server Requirements
BEA Weblogic 5.1, 6.0, 7.0 and 8.1
Tomcat Application Server
Any J2EE-compliant server

Database server Requirements
Oracle 8i, 9i
Microsoft SQL Server 2000
MySQL 4.1

Hard Disk Requirements
100MB minimum required disk space

Related Resources

Whitepaper