Pre-Grant Publication Number: 20080027981
Please help the USPTO examine the application by evaluating the relevance of the publicly submitted prior art to the patent application.
Peer-to-Patent forwards the Top 10 most relevant prior art submissions and their annotations to the United States Patent and Trademark Office.
Review this prior art and click on the thumbs up (or down) to indicate whether this submission should be forwarded to the USPTO.
If you login then you can add an annotation by typing in the box at the bottom of the screen to comment on the relevance of the prior art to the claims of the patent application.
Review this prior art and click on the thumbs up (or down) to indicate whether this submission should be forwarded to the USPTO.
If you login then you can add an annotation by typing in the box at the bottom of the screen to comment on the relevance of the prior art to the claims of the patent application.
Prior Art Detail
Summary / Description
| Summary / Description | This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services. Our approach differs from earlier works on ontology learning by considering the relationship between words rather than treating them as a bag of unrelated words. The experimental results indicate that with our unsupervised approach we can eliminate up to 70% of incorrect matches that are made by dictionary-based approaches. This helps improve the precision of the resulting Web service matches. |
Basic Information
| Type of Prior Art | Print Publication |
| Publication Title * | Proceedings of ICWS 2007 |
| Author | Hui Guo, Anca Ivan, Rama Akkiraju, Richard Goodwin |
| ISBN | |
| Page Range | 118-125 |
| Medium | Book excerpt |
| Publication Date * | July 9, 2007 |
| URL | http://doi.ieeecomputersociety.... |
Notes / To Do
| Notes | We also filed a patent on the method and the system. |
Excerpt
Excerpt Automatically finding suitable Web services given a request is a difficult problem because the interface descriptions of Web services are often terse and cryptic. Dictionary and information retrieval based techniques have proven useful in disambiguating the semantics of service descriptions, but they are limited in their capability to consider the relationships between the words describing the Web services. Current ontology-based approaches typically require a user to explicitly create domain ontologies. This paper
presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services. Our approach differs from earlier works on ontology learning by considering the relationship
between words rather than treating them as a bag of unrelated words. The experimental results indicate that with our unsupervised approach we can eliminate up to 70% of incorrect matches that are made by dictionary-based approaches. This helps improve the precision of the resulting Web service matches. |
Relevance
Claims
1
A method of translating and mapping a directory entry, said method comprising
(a) converting said directory entry between a directory-specific data format and a statement format;
(b) translating said directory entry in said statement format from a class of an ontology of a source directory schema to a class of an ontology of a destination directory schema;
(c) mapping said directory entry by providing said directory entry in said statement format and said class of said ontology of said destination directory schema to a mapping function in an execution environment; and
(d) converting said directory entry between said statement format and said directory-specific data format.
Relevance
I believe that the paper is somewhat relevant for this patent: it transforms two directories of web services into OWL, and then does the mapping at the level of OWL.
I believe that the paper is somewhat relevant for this patent: it transforms two directories of web services into OWL, and then does the mapping at the level of OWL.
Claim Chart
All
