'Semantic Search' property with 'Fuzzy' search method

[Former Member]

Hi Experts,

Iu2019ve implemented u2018Semantic Searchu2019 using Python APIs. My topic map contains the following entries,

Search;seek

Classification;categorization

Data;information

Sap;trex

Case 1:

When I search for u2018datau2019, the results are,

(correct behavior)

-EXACT SEARCH : data, information

-FUZZY SEARCH: data, delta, information, integration, interaction

-LINGUISTIC : data, information

Case 2:

When I search for u2018datu2019, the results are,

-EXACT SEARCH : NO RESULTS

-FUZZY SEARCH: data

-LINGUISTIC : NO RESULTS

Doubts:

1.) In case 2, why the Fuzzy search is not returning the results for information (synonym of data )

2.) Is it possible to use the Linguistic search in the same way(i.e. along with Semantic Search )

Please explain the doubts above. Your help is appreciated.

Thanks in advance!!

Thanks,

Arun.

Edited by: Arunachalam G on Feb 25, 2010 9:58 AM

[frank_friedrich · Accepted solution]

Hi Arun,

the sematic search works like this:

You enter a search term like data. Then TREX is looking in the topic map for the words which are sematicaly equal. In your case it is data and information. Afterwards TREX is searching regarding the sets of sematic terms which TREX has retrieved in the previous step. That means TREX is looking in the search method exact/fuzzy/linguistic for "data" and in the search method exact/fuzzy/linguistic for "information".

Now the next example:

you have entered "dat" as search term. There doesn't exists any sematic terms for "dat" in your topic map. That's why TREX is only searching in the search method exact/fuzzy/linguistic for "dat". That's why you get this result list.

Best regards

Frank