How Does eTools.ch Work?
The metasearch engine
eTools.ch has no own index or database – instead the
information is retrieved from several data sources simultaneously (federated search, search several search engines at once).
As the following illustration shows, a data source can be, among others,
a traditional web search engine, a web service or a database.
In the optimal case, eTools.ch receives a result from every data source within the timeout period.
Afterwards these results are processed, merged and returned to the user.
In simplified terms, the following steps are performed:
- The user enters the search terms and search options and starts the search.
- The search parameters get translated for each data source individually.
- All selected data sources are queried simultaneously.
- The returned results of every data source are transformed into a standardized
format and optionally filtered.
- The individual results are merged into a common result:
- redundant information is removed
- relevant information is weighted (ranking) and sorted
- The merged result is returned to the user.
Current Status of eTools.ch
eTools.ch is as fast as the slowest data source that currently is queried by eTools.ch.
Therefore the search settings let you limit the maximum time to wait for a query (by default 2 seconds).
If a data source does not respond anymore reliably, eTools.ch will automatically disable it temporary.
As soon as the data source is available again, it will be automatically re-enabled.
The following illustrations reflect the current status of the 13 data sources that are queried by eTools.ch:
Nr. |
Data Source |
Ø Request Duration |
Trend | Status |
|
1 |
Bing |
0.14 seconds |
→ | OK |
|
2 |
Mojeek |
0.23 seconds |
↓ | OK |
|
3 |
Wikipedia |
0.25 seconds |
↓ | OK |
|
4 |
Yahoo |
0.34 seconds |
↓ | OK |
|
5 |
Tiger |
0.37 seconds |
→ | OK |
|
6 |
Base |
0.40 seconds |
→ | OK |
|
7 |
Yandex |
0.44 seconds |
→ | OK |
|
8 |
Google |
0.63 seconds |
→ | OK |
|
9 |
Qwant |
0.65 seconds |
↓ | OK |
|
10 |
Search |
0.68 seconds |
→ | OK |
|
11 |
DuckDuckGo |
0.72 seconds |
→ | OK |
|
12 |
Brave |
0.91 seconds |
→ | OK |
|
13 |
Lilo |
1.99 seconds |
↑ | temporary disabled |
Currently, a complete search takes on average 0.94 seconds.
Refresh status
Technology of eTools.ch
eTools.ch is based on our proven search solution EnterpriseMetasearch®.
Possible Applications of EnterpriseMetasearch®
EnterpriseMetasearch® is modular, expandable and flexible configurable and thus can be
used for applications that need a federated search or an integration solution, for example:
- Enterprise Federated Search: an Internet/Intranet application that searches several
data sources at once, such as search engines, databases,
Enterprise Content Management (ECM)
or SAP systems.
- Vertical search portal (topic-specific search cockpit).
- Enterprise Application Integration (EAI).
- Spider or crawler to collect structured data.
- Enterprise (legacy) data migration or interface project.
Specific Qualities of the EnterpriseMetasearch® Technology
- The Web user-interface (GUI)
and the underlaying collector and aggregator
framework are completely separated from each other.
The strict separation of model- (business logic) and presentation layer
allows the autonomous use of the framework engine (e.g. in a
SOA environment).
- Scalable, lightweight and performance-optimized design, permitting to run on moderate hardware.
- Supports different protocols (e.g.
HTTP,
JDBC,
REST or
SOAP) and applications
(e.g. Apache Lucene or
SAP JCo).
- Allows conversion of results to other formats (e.g. Text,
XML or
PDF).
- Due to the flexible plug-in architecture, protocols and formats can be
easily adapted and expanded.
- Optimized for online operation, but can also be run as batch process
or operated as Unix/Windows-service.
- Platform independent (e.g. Unix, Linux, Windows or Mac OS X).
- Proposes spelling corrections in the form of «Did you mean: ...».
- Organizes search results into predefined categories (faceted search).
- Automatically organizes search results into thematic categories (text clustering):
Standards and Technologies of EnterpriseMetasearch®
- 100% Java (Java EE).
- Enterprise features, e.g.:
- configurable pools (e.g. for worker threads and connections) and caches
- autonomous data source watchdog with status notification
- flexible application-clustering
- management and monitoring (JMX) with runtime statistics
- extensible query parser
- Unicode compliant localization (i18n)
- robust multi-stage timeout handling
- Supports widely used servlet engines and Java EE application servers, e.g.:
- Apache Tomcat
- Liferay Portal
- IBM WebSphere
- Oracle WebLogic Server
Interested?
Further information about our federated search solution can be found on the EnterpriseMetasearch® product page.
Please do not hesitate to contact us for any question.