Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
1999-04-21
2004-10-19
Corrielus, Jean M. (Department: 2172)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
06807545
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention concerns a method for retrieving documents via an electronic data file, as well as a system for realizing this method.
In the first place, the invention is meant to be used in data systems in which electronic documents or parts of these documents are stored so as to be able to retrieve the required documents by means of specific search keys later on. In a more general way, however, the invention can be applied in any system whatsoever which includes electronic documents.
In particular, the invention aims a method for indexing electronic documents in a special manner so as to be able to retrieve them later on by means of specific search keys.
2. Description of Related Art
Different methods for indexing and subsequently retrieving data from electronic documents are already known. Examples thereof are described among others in the patents U.S. Pat. No. 5,007,019, U.S. Pat. No. 5,371,807, U.S. Pat. No. 5,418,951, U.S. Pat. No. 5,555,408, WO 95/14973 and WO 96/23265.
In general, one could say that there are three methods for translating textual data in indexes. The first method is an automatic, ‘non-intelligent’ indexing method. According to this method, words are automatically retrieved from a text by means of an evaluation system and they are integrated in an index.
The second method is the manual ‘intelligent’ indexing method. This method usually makes use of predetermined coordinates. The person who indexes the documents assigns one or several labels to each document, on the basis of which the document can be retrieved later on.
The third method is the automatic ‘intelligent’ indexing method. Here, the documentation officer of the second method is replaced by an automatic system.
It is clear that the quality of the method with which the right documents can be retrieved in no time later on depends on the keys which are used for indexing. We mainly distinguish two basic keys.
A first basic key concerns the ‘exhaustibility’, by which is implied in how far the content of a specific document is entirely stored by means of the index. A second basic key is the specificity, which is determined in view of the precision with which searched documents can be retrieved.
It is clear that, in order to be able to retrieve the right documents in less then no time, a method is required offering an ideal balance between the possibility for retrieving the documents on the one hand, and the precision with which they can be retrieved on the other hand. In the case of exhaustive indexing, situations are created whereby, when searching for specific documents which are related to a specific subject, a large number of documents will appear, including a lot of information which is worthless, however. In this case, the retrieved documentation is said to contain a lot of ‘noise’. A high precision implies that only useful information is indexed by assigning very precise labels to it.
Further, it is known that one can index by what is called ‘single-term indexing’, whereby indexes are assigned to single terms, i.e. words, or by what is called ‘term relationship indexing’, whereby indexes are assigned which allow for relationships between different concepts.
The systems for electronic document management which are known until now are disadvantageous in that they are all mainly based on statistical formulas and do not make use of indexing methods based on knowledge, or in that, when use is made of indexing methods based on knowledge, the methods used thereby are little efficient.
SUMMARY OF THE INVENTION
The present invention aims a method for managing documents, in particular for storing and/or retrieving documents which enable the end-user to obtain relevant information in a very efficient manner, by which is meant that the right documents can be retrieved with very great precision and without any considerable ‘noise’.
To this aim, the invention first of all provides for a method for retrieving documents via an electronic data file, characterized in that keys are used for the retrieval which find one or several relations between the textual data of the documents concerned.
REFERENCES:
patent: WO 96/32686 (1996-10-01), None
patent: WO 97/34242 (1997-09-01), None
Khan et al., Personal Adaptive Web Agent: a Tool for Information Filtering, May 28, 1997, Electrical and Computer Engineering, 1997. Engineering innovation: Voyage of Discovery, IEEE, 1997 vol. 1, pp. 305-308.*
Ginsberg, A., A unified approach to automatic indexing and information retrieval, Oct. 1993, IEEE Expert vol. 8, Issue: 5, pp. 46-56.*
Gao et al., Fuzzy multilinkage thesaurus builder in multimedia information systems, Aug. 16, 1995, Document Analysis and Recognition, 1995. pp. 142-145 vol. 1.*
Kimito et al.; “Associated Information Retrieval System(AIRS)—Its Performance and User Experience”; 2334D IEICE Transactions on Information and Systems; E76-D (1993) Feb., No. 2, Tokyo, JP.
Meltzer et al.; “Text Searching Using an Inversion Database Consisting of Trigrams”; Second International Conference on Computers and Applications; (Cat 87 CH 2433-1) Beijing, China, Jun. 23-27, 1987 (pp. 65-69).
Bacon & Thomas PLLC
Corrielus Jean M.
Het Babbage Instituut voor Kennis en Informatie Technologie “B.I
Hwang Joon Hwan
LandOfFree
Method and system for retrieving documents via an electronic... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system for retrieving documents via an electronic..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for retrieving documents via an electronic... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3290966