Search system

Data processing: database and file management or data structures – Database and file access – Search engines

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07870118

ABSTRACT:
A search engine and system for data, such as Internet web pages, including a query analyser for processing a query to assign respective weights to terms of the query and to generate a query vector including the weights, and an index network responsive to the query vector to output at least one index to data in response to the query. The index network is a self-generating neural network built using training examples derived from a feature extractor. The feature extractor is used during both the search and training phase. A clusterer is used to group search results.

REFERENCES:
patent: 5325298 (1994-06-01), Gallant
patent: 5724033 (1998-03-01), Burrows
patent: 5737734 (1998-04-01), Schultz
patent: 5903892 (1999-05-01), Hoffert et al.
patent: 5920852 (1999-07-01), Graupe
patent: 5983220 (1999-11-01), Schmitt
patent: 6026388 (2000-02-01), Liddy et al.
patent: 6081774 (2000-06-01), de Hita et al.
patent: 6131082 (2000-10-01), Hargrave, III et al.
patent: 6567810 (2003-05-01), Singhal
patent: 6847966 (2005-01-01), Sommer et al.
patent: 7296009 (2007-11-01), Jiang et al.
patent: 2002/0165862 (2002-11-01), Richards et al.
patent: WO 97/12333 (1997-04-01), None
patent: WO 99/05618 (1999-02-01), None
US 5,724,022, 03/1998, Burrows (withdrawn)
Baeza-Yates, R., et al., “Modern Information Retrieval,” Chapter 2: Modeling, Addison Wesley, 1stEdition, (May 1999) pp. 19-71.
<http://www.cs.umbc.edu
gram/>, list entitled “Research on N-Grams in Information Retrieval”, Sep. 1997, pp. 1-2.
Allan, J. et al., “Recent Experiments in INQUERY”, Proceedings of the Fourth TREC Retrieval Conference, NIST Special Publication, vol. 500-236, (1995) pp. 49-63.
Cohen, J.D., “Language and Domain Independent Automatic Indexing Terms for Abstracting”, Journal of the American Society for Information Science, vol. 46(3), (1995) pp. 162-174.
Deerwester, et al, “Indexing by Latent Semantic Analysis”, Journal of the American Society for Information Science, vol. 41(6), (1990) pp. 391-407.
Doszkocs, “CITE NLM: Natural Language Searching in an Online Catalog”, Information Technology and Libraries, (Dec. 1983), pp. 364-380.
Frakes et al., “Information Retrieval: Algorithms and Data”, Prentice Hall (1992) pp. 363-392 and 419-442.
Grossman et al. “Information Retrieval : Algorithyms and Heuristics”, Kluer Academic Publishers (1998) pp. 1-132.
Harman, D., “Ranking Algorithms, Information Retrieval: Algorithms and Data Structures”, W.B. Frankes and R. Baeza-Yates,Prentice Hall (1992) Chapter 14, pp. 363-392.
Hearst et al., “Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results,” Proceedings from the Nineteenth ACM SIGIR Conference on Information Retrieval, (1996) pp. 76-84.
Jones et al., “Readings in Information Retrieval”, Title page and table of contents, Morgan Kaufmann Publishers, San Francisco (1997).
Kwok, K.L., “A New Method of Weighting Quay Terms for Ad-Hoc Retrieval”, Computer Science Dept. Queens Collage, City University of New York, SIGIR '96, Zurich, Switzerland. (Special Issue of the SIGIR Forum) ACM 1996, (Aug. 18-22, 1996), pp. 187-195.
Lewis, M., “Enquire Within: Hints on constructing a free-text database”, Practical Computing, (1985), pp. 43-44.
O'Leary, “The Internet, Intranets, and Al Renaissance”, Computer Article No. 0018-9162/97 IEEE (Jan. 1997). pp. 74-78.
Rasmussen E., “Clustering Algorithms”, Information Retrieval: Algorithms and Data Structures, W.B. Frankes and R. Baeza-Yates, Prentice Hall (1992), Chapter 16, pp. 419-442.
Salton, G., “Automatic Information Organization and Retrieval”, McGraw-Hill (1968), pp. 84-87, 110-115, 151-153, 166-169, 235-237, 322-325 and 422-449.
Salton, G. et al., “A Vector Space Model for Automatic Indexing,” Communications of the ACM, (1975), pp. 18, 11, 613-620.
Salton, G. et al., “Introduction to Modern Information Retrieval”, McGraw-Hill (1983), pp. 118-155 and 257-301.
Salton, G., “Automatic Text Processing”, Addison-Wesley, Reading, Massachusetts, with reference to: Chapter 8 Entitled “Conventional Text-Retrieval Systems”, Chapter 9 entitled “Automatic Indexing”, Chapter 10 Entitled “Advanced Information-Retrieval Models” and Chapter 11 Entitled “Language Analysis and Understanding” (1989).
Salton, Gerard “Automatic Text Processing—The Transformation, Analysis, and Retrieval of Information by Computer”, Addison-Wesley, Cornell University (1989), pp. 303-309, 313-345 and 377-424.
Strzalkowski et al., “Natural Language Information Retrieval TREC-4 Report,” Proceedings of the Fourth TREC Retrieval Conference, NIST Special Publication, vol. 500-236, (1995) pp. 245-258.
Strzalkowski et al., “Natural language Information Retrieval TREC-5 Report,” Proceedings of the Fifth TREC Retrieval Conference, NIST Special Publication, vol. 500-238, (1996) pp. 391-413.
Strzalkowski et al., “Natural Language Information Retrieval TREC-6 Report”, Proceedings of the Sixth TREC Text Retrieval Conference, NIST Special Publication vol. 500-240, (1997) pp. 347-366.
Van Rijsbergen, “Information Retrieval”, Butterworths, Department of Computing Science, University of Glasgow (1979) pp. 10-47 and 74-85.
Witten et al., “Managing Gigabytes: Compression and Indexing Documents and Images”, Van Nostrand Reinhold (1994) pp. 116-174.
Zobel et al., “Exploring the Similarity Space”, Department of Computer Science, ACM SIGIR Forum, (Spring 1998), pp. 1-17.
Willett, Peter,Recent Trends in Hierarchic Document Clustering: A Critical Review, Department of Information Studies, University of Sheffield, Great Britain, (Jan. 1988) pp. 577-597, vol. 24, No. 5, Information Proceeding & Management, Article No. XP000573921.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Search system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Search system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Search system will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2657275

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.