Research Article
An Intelligent Information Retrieval Approach Based on Two Degrees of Uncertainty Fuzzy Ontology
| situation (a.i) | | for | | get(query); | | if (query words exist in modification process ontology && have relation together){ | | if (the query word is parent of other words) | | add(other parent of this word to the query terms); | | else if (the query word is child of other words) | | add(other child of this word to the query terms); | | end if | | end for | | *************************** | | situation (a.ii) | | for | | get(query); | | if (query words exist in modification process ontology && have no relation together){ | | add(all parents and children of this words to query); | | end for | | *************************** | | situation (b.i) | | for | | get(query); | | if (query words exist in modification process ontology && have relation together){ | | if (the query word is parent of other words && their membership degree >=threshold limit) | | add(other parent of this word to the query terms); | | else if (the query word is child of other words && their membership degree >=threshold limit) | | add(other child of this word to the query terms); | | end if | | end for | | *************************** | | situation (b.ii) | | for | | get(query); | | if (query words exist in modification process ontology && have no relation together && their | | membership degree threshold limit){ | | add(all parents and children of this words to query); | | end for | | *************************** |
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