This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
Shape the future of IBM!
We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Search existing ideas
Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Specific links you will want to bookmark for future use
Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.
IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.
ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.
IBM Employees should enter Ideas at https://ideas.ibm.com
See this idea on ideas.ibm.com
Discovery is being positioned as replacement for R&R yet search (and not even WKS-based enrichment) cannot handle a comprehensive handling of domain-specific language, such as technical support. In R&R this was achieved by direct access to Solr configuration.
With Discovery, at this time, the only way to get close to text normalization based on domain-specific language is to use Conversation entities to get the relevant domain language for a doc and store it as a field in discovery. Then do the same to get domain language for each query and use the entities to expand your query ..while this gives you some matches, it completely prevents us from exploiting keyword proximity measures to improve ranking of most relevant records.
there several levels in which this can be achieved:
0. integrate dictionaries from WKS with Elastic Search
1. give full access to elastic search - which will give full benefit the powerful search engine on top of discovery enrichment - such as scoring function
2. ensure that synonyms in domain-specific language are applied to the enrichment output - as of now, they are completely disconnected
By clicking the "Post Comment" or "Submit Idea" button, you are agreeing to the IBM Ideas Portal Terms of Use.
Do not place IBM confidential, company confidential, or personal information into any field.
Interest in this topic area in particular level 2 mentioned above:ensure that synonyms in domain-specific language are applied to the enrichment output - as of now, they are completely disconnected
Customer for which the Watson Solution Delivery team is building solutions requires Domain Specific Dictionaries to better enable normalization. A few examples are
The Watson Solution Delivery team also has many customer solutions that can be benefited by the support of Dictionaires and the normalization of mentions.