A Pervasive Environment for Location-Aware and Semantic Matching Based Information Gathering

2005 ◽  
pp. 352-361 ◽  
Author(s):  
Riza Cenk Erdur ◽  
Oğuz Dikenelli ◽  
Ata Önal ◽  
Özgür Gümüs ◽  
Geylani Kardas ◽  
...  
Keyword(s):  
Information Gathering ◽  
Semantic Matching ◽  
Location Aware ◽  
Pervasive Environment

Cognitive Location-Aware Information Retrieval by Agent-Based Semantic Matching

2010 ◽  
Vol 2 (3) ◽  
pp. 21-31 ◽  
Author(s):  
Eddie C. L. Chan ◽  
George Baciu ◽  
S. C. Mak
Keyword(s):  
Information Retrieval ◽  
Intelligent Agents ◽  
Semantic Information ◽  
Semantic Matching ◽  
Agent Based ◽  
Location Aware ◽  
User Query ◽  
Improving Accuracy ◽  
Training Sets

This paper proposes semantic TFIDF, an agent-based system for retrieving location-aware information that makes use of semantic information in the data to develop smaller training sets, thereby improving the speed of retrieval while maintaining or even improving accuracy. This proposed method first assigns intelligent agents to gathering location-aware data, which they then classify, match, and organize to find a best match for a user query. This is done using semantic graphs in the WordNet English dictionary. Experiments will compare the proposed system with three other commonly used systems and show that it is significantly faster and more accurate.

Cognitive Location-Aware Information Retrieval by Agent-Based Semantic Matching

2012 ◽  
pp. 335-345
Author(s):  
Eddie C. L. Chan ◽  
George Baciu ◽  
S. C. Mak
Keyword(s):  
Information Retrieval ◽  
Intelligent Agents ◽  
Semantic Information ◽  
Semantic Matching ◽  
Agent Based ◽  
Location Aware ◽  
User Query ◽  
Improving Accuracy ◽  
Training Sets

This paper proposes semantic TFIDF, an agent-based system for retrieving location-aware information that makes use of semantic information in the data to develop smaller training sets, thereby improving the speed of retrieval while maintaining or even improving accuracy. This proposed method first assigns intelligent agents to gathering location-aware data, which they then classify, match, and organize to find a best match for a user query. This is done using semantic graphs in the WordNet English dictionary. Experiments will compare the proposed system with three other commonly used systems and show that it is significantly faster and more accurate.

Modern TEM systems architecture

1986 ◽  
Vol 44 ◽  
pp. 602-605
Author(s):  
U. Gross ◽  
P. Hagemann
Keyword(s):  
Electron Microscope ◽  
Information Gathering ◽  
Systems Architecture ◽  
Control Functions ◽  
Transmission Electron ◽  
New Information ◽  
Comprehensive Information ◽  
Scanning Transmission ◽  
Diffraction Patterns ◽  
Analytical Equipment

By addition of analytical equipment, scanning transmission accessories and data processing equipment the basic transmission electron microscope (TEM) has evolved into a comprehensive information gathering system. This extension has led to increased complexity of the instrument as compared with the straightforward imaging microscope, since in general new information capacity has required the addition of new control hardware. The increased operational complexity is reflected in a proliferation of knobs and buttons.In the conventional electron microscope design the operating panel of the instrument has distinct control elements to alter optical conditions of the microscope column in different modes. As a consequence a multiplicity of control functions has been inevitable. Examples of this are the three pairs of focus and magnification controls needed for TEM imaging, diffraction patterns, and STEM images.

Reduced semantic priming from prime repetition: Expectancy or semantic matching?

2001 ◽  
Author(s):  
James H. Neely ◽  
Keith A. Hutchison ◽  
Jeffrey D. Johnson
Keyword(s):  
Semantic Priming ◽  
Semantic Matching

Saccadic guidance for information gathering in natural scenes

2018 ◽  
Author(s):  
Kirsty McNaught ◽  
Maneesh Sahani
Keyword(s):  
Information Gathering ◽  
Natural Scenes

Use of ontological analysis for competence evaluation of scientists in a particular subject domain

2016 ◽  
pp. 081-096
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Scientific Activity ◽  
Subject Domain ◽  
Semantic Matching ◽  
Research Project ◽  
Open Environment ◽  
Competence Evaluation ◽  
The Subject ◽  
Ontological Analysis ◽  
Use Of Knowledge ◽  
The Web

Objective methods for competence evaluating of scientists in the subject domain pertinent to the specific scientific product – research project, publication, etc. are proposed. These methods are based on the semantic matching of the description of scientific product and documents that confirm the competence of its authors or experts in the domain of this product. In addition, the use of knowledge acquired from the Web open environment – Wiki-resources, scientometric databases, organization official website, domain ontologies is proposed. Specialized ontology of scientific activity which allows to standardize the terminological base for describing the qualifications of researchers is developed.

A Novel Method for Information Gathering by Using Orthogonal Narrowband Signal for Cooperative Sensing in Cognitive Radio

2009 ◽  
Vol E92-B (12) ◽  
pp. 3625-3634 ◽  
Author(s):  
Mai OHTA ◽  
Takeo FUJII ◽  
Kazushi MURAOKA ◽  
Masayuki ARIYOSHI
Keyword(s):  
Cognitive Radio ◽  
Information Gathering ◽  
Cooperative Sensing ◽  
Narrowband Signal ◽  
Novel Method
Sign in / Sign up

Export Citation Format

Share Document