Microsoft Technology Licensing, LLC

Mingshi Wang

Navendu Jain

Rahul Potharaju

Vitaly Voloshin

Luhui Hu

Liyuan Zhang

Joseph K W Chan

Laura M Cruz

Joseph Kw Chan

Joseph KW Chan

Disclosed herein is a system and method for generating an enhanced index for documents contained in a knowledge base. Documents or configuration snapshots are tokenized and then passed through a number of filters. The filters modify the token stream to generate an enhanced token stream for the document by removing words from the stream and adding domain level knowledge to the tokens in the stream. The token stream is then added to the index for the document so that searches can be completed against the knowledge base when searches are generated from configuration snapshots or from inputted search queries.

Building features and indexing for knowledge-based matching

Disclosed herein is a system and method for searching or processing queries for searching for documents contained in a domain specific knowledge base. The system takes a query and generates from the query a modified version of the query by passing the query through one or more filters in a query processor. The query processor adds or removes terms from the query. The query processor can add or recognize that two words that appear to be separate words actually identify a specific software entity or can determine that a number appearing in a query is not just a number but refers to a specific version or a number relevant to the specific problem.

Query techniques and ranking results for knowledge-based matching

Disclosed herein is a system and method for taking a snapshot or input from a source and identifying appropriate documents in a knowledge base that are applicable to the input. The system identifies documents that are applicable to the query by identifying comparative features/statements found in the natural language text documents and evaluating those comparative features with the conditions of the input. When the conditions of the comparative features evaluate with the input conditions the document is considered a match. The system processes the documents through a value type filter to understand the mathematical equivalent of the comparative feature and uses this mathematical equivalent in the evaluation of the document and input.

Identifying mathematical operators in natural language text for knowledge-based matching

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Bellevue, WA, United States of America

Mingshi Wang