Keywords-User model; Domain ontology; Semantic Similarity; Wordnet. Although carefully collected, accuracy cannot be guaranteed. Differing provisions from the publisher's actual policy or licence agreement may be applicable.For Definitions, Articles and Resources, see the Taxonomies and Classifiers page which discusses the entire concept of automated classification, categories, taxonomies, clustering, hierarchies, and browsable listings. Combines automated categorization with editorial tools for human judgment in building taxonomies, with no training documents or rules required. Processing based on a linguistically created ontology combining millions of words, meanings and conceptual relationships.
Certified General Accountants of Ontario, a professional association for accountants, used Hummingbird's Knowledge Server to find content, reducing call center inquiries.
Coldwater Creek used Easy Ask for its online store, to improve responsiveness to customers.
First is the domain concept filtering in which concepts and items of interests are compared to the domain ontology to check the relevant items to our domain using ontology based semantic similarity.
Second, is incorporating semantic content into the term vectors.
Also, our proposed approach aims to update user model, we should analysis user's history query keywords.
For a certain keyword, we extract the words which have the semantic relationships with the keyword and add them into the user interest model as nodes according to semantic relationships in the Word Net.
Finds the company profitable, successful in its niches, but not clear about scaling.
Describes several intranet and commerce search solutions which attempt to use structure and language to improve search results.
To ensure the availability of the Digital Library we can not allow these types of requests to continue.
The restriction will be removed automatically once this activity stops.
The proposed approach is used in a system for updating a user profile in music domain.