Hierarchy Similarity Measure
US-2015149468-A1 · May 28, 2015 · US
US9715531B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9715531-B2 |
| Application number | US-201615042744-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 12, 2016 |
| Priority date | Jun 10, 2014 |
| Publication date | Jul 25, 2017 |
| Grant date | Jul 25, 2017 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A mechanism is provided, in a data processing system comprising a processor and a memory configured to implement a question and answer (QA) system, for weighting search criteria based on similarities to an ingested corpus in the QA system. A set of question characteristics found in a received input question are compared to a set of data characteristics respectively describing data in each corpus of a corpora. For each question characteristic in the set of found question characteristics, a first weight is assigned to the corpus within which data associated with the data characteristic resides in response to the question characteristic being more related to a data characteristic; otherwise a second weight is assigned, where the first weight is greater than the second weight. A selective search is then performed for an answer to the received input question in one or more corpora with a higher weighting.
Opening claim text (preview).
What is claimed is: 1. A method, in a data processing system comprising a processor and a memory configured to implement a question and answer (QA) system, for weighting search criteria based on similarities to an ingested corpus in the QA system, the method comprising: parsing a received input question having a set of question characteristics; comparing the set of question characteristics found in the received input question to a set of data characteristics respectively describing data in each corpus of a corpora; for each question characteristic in the set of found question characteristics: responsive to the question characteristic being more related to a data characteristic in the set of data characteristics, assigning a first weight to the corpus within which data associated with the data characteristic resides; and responsive to the question characteristic being less related to the data characteristic in the set of data characteristics, assigning a second weight to the corpus within which the data associated with the data characteristic resides, wherein the first weight is greater than the second weight; and selectively searching for an answer to the received input question in one or more corpora with a higher weighting preferentially to one or more corpora with a lower weighting. 2. The method of claim 1 , wherein the first weight and the second weight are based on a set of predetermined weighting characteristics. 3. The method of claim 1 , wherein the first weight and the second weight are defined by a user. 4. The method of claim 1 , wherein the set of data characteristics are identified by the method comprising: analyzing each data for a set of data characteristics; and storing the set of data characteristics in a characteristics data structure as being associated with a corpus where the data is ingested. 5. The method of claim 4 , wherein the set of data characteristics is one or more of an average sentence length, various counts of sentence sub-structure, phrase boundaries, average word length, number of characters in a sentence, number of words in a passage, number of sentences in a passage, or average sentence lexical composition. 6. The method of claim 1 , wherein the set of question characteristics is one or more of an average sentence length, various counts of sentence sub-structure, phrase boundaries, average word length, number of characters in a sentence, number of words in a passage, number of sentences in a passage, or average sentence lexical composition. 7. The method of claim 1 , wherein the data comprises one or more of media, blogs, personal experiences, books, journal and magazine articles, expert opinions, encyclopedias, or web pages.
using ranking · CPC title
Indexing; Web crawling techniques · CPC title
Physics · mapped topic
Physics · mapped topic
Related publications grouped by family.
Answers are generated from the same data shown on this page.