Finding data
Finding data in an information system can be achieved by using two entirely different techniques:
- By using classification systems - the structured way.
- By searching for keywords or values - the unstructured way.
Both is, of course, supported by Elestore and Elecat as the data distribution tool. Both products have some specialties, which are explained here (see further below the finding techniques):
Grouping and classification systems
Ordering product data into one or several classification systems has only the one disadvantage that it simply must be done but it has many advantages over pure searching techniques. This is also why all ERP and comparable systems offer and often even require the use of a classification system.
So does Elestore, which supports several different classification systems. In Elestore your can use both industry standards like USNPC or eClass as well as your own grouping and classification systems.
Elestore's classification system specialties
First al all, all grouping system entries are fully multi-lingual in Elestore. And as opposed to most other content management systems Elestore offers several specialties:
- Several different grouping systems can be used in parallel but independent from one another.
- An article can be linked to more than one entry (branch) in each grouping system. This supports the many cases where one item applies to several grouping level definitions.
- Navigating in a grouping system is done in a special form presenting classification systems either as a tree or in a special multi-area window, which allows for extremely quick navigation.
Advantages of classification (grouping) systems over searching
The great advantages of classification systems over searching are obvious:
- Most users are very much accustomed to hierarchical structures, which are used everywhere in daily life. In Yellow Pages you first select the geographical area, then the industry or trade to then find several addresses. This is a three level classification system. The same is true for large product databases and for any Internet link list (look at the Google or Yahoo directories).
- When selecting products the user sees all items at one glance, which somehow belong together, i.e. which have common attributes. In pure searching this can rarely be achieved and requires that all relevant items contain the same keywords and that this keyword is also used for searching. Normally this will not be the case so that the user only finds a small part of the required group of products.
- Especially for finding technical items it is far more convenient for the user to quickly navigate through a well organized hierarchy of product classifications without any need to first think about possible keywords, which have to be contained in the desired search results.
- For large databases a classification system is the only way to ensure that the result of a selection really covers all contained items - instead of only those containing the used keyword(s). Here "contained" normally applies to one branch of the classification system regardless of its level or to the entire system, of course.
Here are some screenshots:
We strongly recommend to put much emphasis on the use of one or several well-defined classification systems as this makes the use of the product database much easier, more convenient and quicker.
Finding capabilities
When using Elestore, Elepub and Elecat as a family, there can be three forms of presenting data to the user each of which has its own way of searching and finding:
In a database both locally and on the Internet server.
The local and central databases are searched by using full-text search capabilities for text fields. Additionally, non-text fields are searched like in any SQL database management system.
In HTML pages on the Internet for sporadic users.
For the HTML pages we offer also a full-text search similar to the Internet search engines. All the content of the HTML pages on the server are indexed and the user can employ a full-text search on this content and select search results from a list similar to search engines like Google or AltaVista. From there he can open the pages and view the results.
In CDF pages (Catalog Data Format) stored in Elecat locally at frequent users.
Similar to the search in HTML pages the user can also full-text search his local catalog database in CDF format (Elecat's own intelligent page format). This searching allows for the Boolean connection ("AND" / "OR") of several keywords and it presents the results in a quick and compact way of navigating through the result pages. On the resulting pages the wanted keywords are highlighted with a yellow background to make them better visible.
Here are some screenshots of the searching forms in Elestore and Elecat (as the tool for distributing data to users):
More details here for Elecat (Full Text Search and article search) and Elestore






