On Information, Meaning, Space and Geometry

2010 ◽  
pp. 214-225
Author(s):  
Sándor Darányi ◽  
Péter Wittek
Keyword(s):  
Information Retrieval ◽  
Automatic Classification ◽  
Automatic Indexing ◽  
Spatial Sense

Current methods of automatic indexing, automatic classification, and information retrieval treat index and query terms, that is, vocabulary units in any language, as locations in a geometry. With spatial sense relations among such units identified, and syntax added, the making of a geometric equivalent of language for advanced communication is an opportunity to be explored.

Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval

2009 ◽  
pp. 255-259 ◽  
Author(s):  
Stéfan J. Darmoni ◽  
Suzanne Pereira ◽  
Saoussen Sakji ◽  
Tayeb Merabti ◽  
Élise Prieur ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Automatic Indexing

Technologies for Information Access and Knowledge Management

2011 ◽  
pp. 3680-3685
Author(s):  
Thomas Mandl
Keyword(s):  
Information Retrieval ◽  
Search Engines ◽  
Information Access ◽  
Partial Match ◽  
Retrieval Models ◽  
Automatic Indexing ◽  
Patent Retrieval ◽  
Information Retrieval Systems ◽  
Information Work ◽  
The 1960S

In the 1960s, automatic indexing methods for texts were developed. They had already implemented the “bag-ofwords” approach, which still prevails. Although automatic indexing is widely used today, many information providers and even Internet services still rely on human information work. In the 1970s, research shifted its interest to partial-match retrieval models and proved their superiority over Boolean retrieval models. Vector-space and later probabilistic retrieval models were developed. However, it took until the 1990s for partial-match models to succeed in the market. The Internet played a great role in this success. All Web search engines were based on partial-match models and provided ranked lists as results rather than unordered sets of documents. Consumers got used to this kind of search systems, and all big search engines included partial-match functionality. However, there are many niches in which Boolean methods still dominate, for example, patent retrieval. The basis for information retrieval systems may be pictures, graphics, videos, music objects, structured documents, or combinations thereof. This article is mainly concerned with information retrieval for text documents.

Search Engine

2011 ◽  
pp. 74-100
Author(s):  
Eliana Campi ◽  
Gianluca Lorenzo
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Semantic Web ◽  
Knowledge Base ◽  
Search Engine ◽  
Automatic Classification ◽  
Efficient Approach ◽  
Search Results ◽  
The Creation ◽  
F Measure

This chapter presents technologies and approaches for information retrieval in a knowledge base. We intend to show that the use of ontology for domain representation and knowledge search offers a more efficient approach for knowledge management. This approach focuses on the meaning of the word, thus becoming an important element in the building of the Semantic Web. The search based on both keywords and ontology allows more effective information retrieval exploiting the Semantic of the information in a variety of data. We present a method for taxonomy building, annotating, and searching documents with taxonomy concepts. We also describe our experience in the creation of an informal taxonomy, the automatic classification, and the validation of search results with traditional measures, such as precision, recall and f-measure.

scholarly journals A Fast Algorithm for Automatic Classification

1969 ◽  
Vol 2 (1) ◽  
pp. 31 ◽  
Author(s):  
R. T. Dattola
Keyword(s):  
Information Retrieval ◽  
Fast Algorithm ◽  
Automatic Classification

An economical classification process of order <em>n</em> of log <em>n</em> (for <em>n</em> elements), which does not employ n-square procedures. Conversion proofs are given and possible information retrieval applications are discussed.

The impact of technology on indexing

2000 ◽  
Vol 22 (1) ◽  
pp. 25-26
Author(s):  
Jan Ross
Keyword(s):  
Information Retrieval ◽  
The Internet ◽  
Automatic Indexing ◽  
Technological Advances ◽  
The Future ◽  
Efficient Information ◽  
Impact Of Technology ◽  
The Impact

The indexing process has changed remarkably with technological advances. Indexing is no longer just ‘back-ofbook’ indexing, but includes automatic indexing, machine-aided indexing, web indexing and even 3-D indexing. Not all the effects have been positive, especially for the indexer, but the future of the Internet and efficient information retrieval lies with indexing.

Sign in / Sign up

Export Citation Format

Share Document