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Showing papers on "Inverted index published in 1998"


Book Chapter
01 Jan 1998
TL;DR: A scheme based on the frequency of occurrence of features in both individual images and in the whole collection provides a means of weighting possibly incommensurate features in a compatible manner, and naturally extends to incorporate relevance feedback queries.
Abstract: In this paper we report the application of techniques inspired by text retrieval research to the content-based query of image databases. In particular, we show how the use of an inverted file data structure permits the use of a feature space of $\mathcal{O}(104)$ dimensions, by restricting search to the subspace spanned by the features present in the query. A suitably sparse set of colour and texture features is proposed. A scheme based on the frequency of occurrence of features in both individual images and in the whole collection provides a means of weighting possibly incommensurate features in a compatible manner, and naturally extends to incorporate relevance feedback queries. The use of relevance feedback is shown consistently to improve system performance, as measured by precision and recall.

126 citations


Patent
28 Jul 1998
TL;DR: In this paper, a method for mapping a plurality of index entries in an index of a database includes parsing one or more records into elements, allocating each of the elements to one of a pluralityof element groupings, and storing a representation of each of these elements in the index in conjunction with representations of other elements within its element grouping.
Abstract: A method for mapping a plurality of index entries in an index of a database includes parsing one or more records into elements, allocating each of the elements to one of a plurality of element groupings, and storing a representation of each of the elements in an index in conjunction with representations of other of the elements within its element grouping.

52 citations


Patent
Amitabh Kumar Singhal1
14 May 1998
TL;DR: In this article, a method stores, indexes, searches and retrieves data information in a large data storage and retrieval system, where large amounts of data information subject to searching and retrieval are broken down and stored in sub-collections.
Abstract: A method stores, indexes, searches and retrieves data information in a large data storage and retrieval system. Large amounts of data information, subject to searching and retrieval, are broken down and stored in sub-collections. Each sub-collection separately performs indexing of only the data information contained within that sub-collection and forms an inverted index. Statistical information derived from the inverted index of each sub-collection is collected by a global collection custodian and compiled into a global index. The global index is then passed to each sub-collection and is used by each during searching and retrieving of data information. Search results from each sub-collection are passed to the global collection custodian and organized there before being passed to a system user.

49 citations


Proceedings ArticleDOI
01 Nov 1998
TL;DR: This poster presents a meta-analyses of LSIR-CONF-2000-026, which presents a probabilistic procedure for estimating the response of the immune system to central nervous system injuries.
Abstract: Note: ACM Press, p. 406-413 Reference LSIR-CONF-2000-026 Record created on 2005-09-15, modified on 2017-05-12

12 citations


Patent
Viktors Berstis1
30 Jun 1998
TL;DR: In this article, a method and system for browsing a distributed database is presented, where storage is allocated in a computer for a file, wherein the file is used for storing references to data in the distributed database for retrieval at a later time.
Abstract: A method and system for browsing a distributed database. Storage is allocated in a computer for a file, wherein the file is used for storing references to data in the distributed database for retrieval at a later time. A reference to data in the distributed database is added to the file in response to a user input from a user using the computer to browse the distributed database. The data is retrieved from the distributed database using references to the data stored within the file in response to a selected event.

8 citations


Patent
10 Oct 1998
TL;DR: In this paper, a methodology for producing efficient implementations of constructs such as feature tables is disclosed, which combines the superimposed coding and inverted list tables and results in a synergistic method that loses no accuracy and is generally faster in operation.
Abstract: A methodology for producing efficient implementations of constructs such as feature tables is disclosed. The method of superimposed coding and the method of inverted list tables are combined. Although they both accomplish similar things, each method has advantages over the other under particular circumstances. The method of superimposed coding is used where feature table rows are “dense” or contain many records of interest, while the method of inverted list tables is used where feature table rows are “sparse” or contain few records of interest. The combination of the two methods results in a synergistic method that loses no accuracy and is generally faster in operation than what could be achieved by the application of either method alone.

7 citations


Patent
11 May 1998
TL;DR: In this article, the problem of updating a network management program just by updating the correspondence table of an object key and an object identifier used in the network management programs is addressed, where the same index is continuously attached to the continuously present data.
Abstract: PROBLEM TO BE SOLVED: To update a network management program just by updating the correspondence table of an object key and an object identifier used in the network management program. SOLUTION: Whether or not a file for which the allocation of an index is outputted is already present, is searched first (S103), and in the case that an output file is present, the output file is read (S105) and data in the output file and the data under consideration in a data base are compared (S106). As the result of comparison, the index of the pertinent data of the output file is allocated as the index of the data under consideration (S108) in the case that the data under consideration are present in the output file, a new index is allocated to the data under consideration (S109) in the case that the data under consideration are not present in the output file and the index of the desired data of the output file is allocated as the index of the data under consideration (S110) in the case that the name of the data under consideration is changed. In such a manner, the same index is continuously attached to the continuously present data. COPYRIGHT: (C)1999,JPO

5 citations


Proceedings Article
01 Jan 1998
TL;DR: The paper describes the way in which a text retrieval system for inflected languages, such as Croatian, can be improved based on a robust morphological analysis that can search for all word forms without using a dictionary.
Abstract: The paper describes the way in which a text retrieval system for inflected languages, such as Croatian, can be improved. Based on a robust morphological analysis, it can search for all word forms without using a dictionary. Using all the possible combinations of morphological alternation and filtering final results through words in inverted index, a satisfactory level of precision can be obtained.

4 citations


Book ChapterDOI
TL;DR: Essential problems associated with searching and retrieving relevant documents were discussed in the preceding chapters, but simply searching massive quantities of unstructured data is not sufficient.
Abstract: Essential problems associated with searching and retrieving relevant documents were discussed in the preceding chapters. However, simply searching massive quantities of unstructured data is not sufficient.

2 citations


Book ChapterDOI
19 Nov 1998
TL;DR: In this article, a data model, a query language, and an indexing scheme for structured video documents are proposed in order to store, retrieve, and share video documents efficiently in collaborative work environment.
Abstract: Video information is an important component of multimedia systems such as Digital Library, World-Wide Web (WWW), and Video-On-Demand (VOD) service system. However, since it is difficult to store and retrieve video data like traditional text data, new data models suitable for video information are required. Video information has hierarchical document structure inherently, so it is named “structured video document” in this paper. This paper proposes a data model, a query language, and indexing scheme for structured video documents in order to store, retrieve, and share video documents efficiently in collaborative work environment. In representing structured video documents, the object-oriented data modeling technique is used since the hierarchical structure information can be modeled as complex objects. We also define object types for the structure information. Our query language supports not only content-based retrieval but also structure-based retrieval, which means the queries based on the structure of video documents. In order to perform structure queries efficiently, as well as to reduce the storage overhead of indices, an optimized inverted index structure is proposed.