An evidence-based scheme for web service selection
Information Technology and Management
An enhanced model framework of personalized material flow services
Information Technology and Management
Cohesion and coupling metrics for ontology modules
Information Technology and Management
Research on the group decision-making about emergency event based on network technology
Information Technology and Management
Distributed data mining for e-business
Information Technology and Management
| Hi-index | 0.00 |
In this article, we propose a method for business information query expansions. In our approach, hypernym/hyponymy and synonym relations in WordNet are used as the basic expansion rules. Then we use WordNet Lexical Chains and WordNet semantic similarity to assign terms in the same query into different groups with respect to their semantic similarities. For each group, we expand the highest terms in the WordNet hierarchies with hypernym and synonym, the lowest terms with hyponym and synonym and all other terms with only synonym. In this way, the contradictory caused by full expansion can be well controlled. Furthermore, we use collection-related term semantic network to further improve the expansion performance. And our experiment reveals that our solution for query expansion can improve the query performance dramatically.