scholarly journals Sagace: A web-based search engine for biomedical databases in Japan

2012 ◽  
Vol 5 (1) ◽  
pp. 604 ◽  
Author(s):  
Mizuki Morita ◽  
Yoshinobu Igarashi ◽  
Maori Ito ◽  
Yi-An Chen ◽  
Chioko Nagao ◽  
...  
Keyword(s):  
Search Engine ◽  
Web Based ◽  
Biomedical Databases

Chemical compound navigator: A web-based chem-BLAST, chemical taxonomy-based search engine for browsing compounds

2006 ◽  
Vol 63 (4) ◽  
pp. 907-917 ◽  
Author(s):  
M.D. Prasanna ◽  
Jiri Vondrasek ◽  
Alexander Wlodawer ◽  
H. Rodriguez ◽  
T. N. Bhat
Keyword(s):  
Search Engine ◽  
Chemical Compound ◽  
Web Based

www.wapip.com: A Special-Purpose Search Engine for Web Applications in Product Introduction Process

2000 ◽  
Author(s):  
G. Q. Huang ◽  
B. Shen ◽  
K. L. Mak
Keyword(s):  
Product Design ◽  
Search Engine ◽  
Web Applications ◽  
General Purpose ◽  
New Product Introduction ◽  
Design Development ◽  
Product Introduction ◽  
Web Based ◽  
The Right ◽  
Design And Manufacture

Abstract There have been widespread interests in the development and application of World Wide Web (WWW) to support decision-making activities in product design and manufacture. An increasing number of web applications are emerging and a large number of practitioners are keen on trying these web-based decision support systems. In the meanwhile, it becomes increasingly difficult to surf for appropriate web applications on the Internet with general-purpose search engines. This paper describes a web site, WAPIP, that has been developed specifically to support new product introduction activities. It provides databases for software vendors and researchers to register their web applications with the “wapip” search engine. It also provides facilities to support practitioners in product design and manufacture to search rapidly for the right web applications suitable for solving their problems. This paper discusses the various issues regarding the design, development and operation of this “wapip” search engine.

Assessing the Effectiveness of Filters for Shape Matching

2002 ◽  
Author(s):  
R. Sung ◽  
H. J. Rea ◽  
J. R. Corney ◽  
D. E. R. Clark ◽  
J. Pritchard ◽  
...  
Keyword(s):  
Search Engine ◽  
Shape Matching ◽  
3D Models ◽  
Lead Times ◽  
Web Based ◽  
Collaborative Commerce ◽  
Development Costs ◽  
Area Distribution ◽  
Benchmark Database ◽  
Productivity Gains

Collaborative re-use of design and manufacturing data is one way that global e-commerce could significantly reduce development costs and lead times of new products. However the proliferation of web based catalogues for standard components (e.g. brochure-ware for nuts and washers etc.) only hints at the possible productivity gains if a 3D search engine could be created. Consequently the research reported here is motivated by the belief that shape matching technology is key to enabling a much deeper form of Internet-based collaborative commerce. This paper describes the coarse “shape” filters that support a 3D, Internet-based search engine, known as ShapeSifter, whose ultimate aim is to enable the location of parts already in production that have a shape similar to a desired “newly designed” part. The challenge of the research is to identify the key metrics that produce meaningful characterizations of 3D models for similarity comparison purposes. In this context the work reported focuses on the use of novel indices based on an object’s convex-hull and surface area distribution to carry out a coarse filtering of candidates prior to the application of more detailed analysis (e.g. the construction of multi-dimensional feature vectors). In doing this, the paper describes the crucial role played by a benchmark database of geometrical similar objects.

OPTIMASI RISET KEYWORD DENGAN TEKNIK ALLINTITLLE PADA MESIN PENCARI GOOGLE

2018 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Hengki Tamando Sihotang
Keyword(s):  
Search Engine ◽  
Information Needs ◽  
Research Question ◽  
Online Information ◽  
Web Based ◽  
Development Method ◽  
Government Services ◽  
Search Results ◽  
Google Search ◽  
The Web

Online information needs have evolved in the real direction. These needs include the latest information, government services, and commercial products. The research question is how to describe and optimize keyword research with the allintitle technique on the google search engine. The development method used in this research is the prototype method because it is considered able to be evaluated directly on the user. The system testing is done for 3 months by placing keywords on several websites on Google. The conclusion that can be taken is to use the allintitle technique, the search results for the web are easier to find. And this web-based allintitle technique can overcome the challenges of captcha verification from the Google search engine.   Keywords: Allintitle, Google's Search Engine, Keyword competition.

scholarly journals Nutri-RecQuest: a web-based search engine on current micronutrient recommendations

2010 ◽  
Vol 64 (S2) ◽  
pp. S43-S47 ◽  
Author(s):  
A E J M Cavelaars ◽  
A Kadvan ◽  
E L Doets ◽  
J Tepšić ◽  
R Novaković ◽  
...  
Keyword(s):  
Search Engine ◽  
Web Based

Fragment Finder 2.0: a computing server to identify structurally similar fragments

2012 ◽  
Vol 45 (2) ◽  
pp. 332-334 ◽  
Author(s):  
R. Nagarajan ◽  
S. Siva Balan ◽  
R. Sabarinathan ◽  
M. Kirti Vaishnavi ◽  
K. Sekar
Keyword(s):  
Search Engine ◽  
Pattern Matching ◽  
World Wide ◽  
Data Sets ◽  
Web Based ◽  
Matching Algorithm ◽  
Protein Fragments ◽  
Interactive Computing ◽  
Structural Superposition ◽  
The World

Fragment Finder 2.0is a web-based interactive computing server which can be used to retrieve structurally similar protein fragments from 25 and 90% nonredundant data sets. The computing server identifies structurally similar fragments using the protein backbone Cα angles. In addition, the identified fragments can be superimposed using either of the two structural superposition programs,STAMPandPROFIT, provided in the server. The freely available Java plug-inJmolhas been interfaced with the server for the visualization of the query and superposed fragments. The server is the updated version of a previously developed search engine and employs an in-house-developed fast pattern matching algorithm. This server can be accessed freely over the World Wide Web through the URL http://cluster.physics.iisc.ernet.in/ff/.

scholarly journals A METHODOLOGY FOR DATABASE AND DOCUMENT SELECTION

2011 ◽  
pp. 153-161
Author(s):  
Raj Gaurang Tiwari ◽  
Mohd. Husain ◽  
Anil Agrawal
Keyword(s):  
Information Retrieval ◽  
Search Engine ◽  
Web Applications ◽  
Information Overload ◽  
Critical Issue ◽  
Web Information Retrieval ◽  
Text Data ◽  
Web Based ◽  
Needed Information ◽  
Net Framework

As web users are facing the problems of information overload and drowning due to the significant and rapid growth in the amount of information and the number of users so there is need to provide Web users the more exactly needed information which is becoming a critical issue in web-based information retrieval and Web applications. In this work, we aspire to improve the performance of Web information retrieval and Web presentation through developing and employing Web data mining paradigms. Every search engine has a corresponding database that defines the set of documents that can be searched by the search engine. Generally, an index for all documents in the database is created and stored in the search engine. Text data in the Internet can be partitioned into several databases naturally. Proficient retrieval of preferred data can be attained if we can exactly predict the usefulness of each database, because with such information, we only need to retrieve potentially useful documents from useful databases. For a given query ‘q’ the usefulness of a text database is defined to be the no. of documents in the database that are sufficiently relevant to the query ‘q’. In this paper, we propose new approaches for database selection and documents selection. We also implement these algorithms using .net framework. Our experimental results indicate that these methods can yield substantial improvements over existing techniques.

scholarly journals Budowa i zastosowania korpusu monitorującego MoncoPL

2020 ◽  
pp. 133-150
Author(s):  
Piotr Pęzik
Keyword(s):  
Search Engine ◽  
Online Media ◽  
Media Discourse ◽  
Web Based ◽  
Distributional Properties

This paper introduces the methodology of compiling and maintaining MoncoPL, a large monitor corpus of web-based Polish. Furthermore, an overview of the search engine of the same name is provided to show how the size and composition of the corpus, currently reaching over 5.6 billion word tokens, facilitates research on distributional properties of rare words, neologisms and phraseological units. Finally, the article exemplifies some advantages of using a densely-sampled diachronic corpus for the purposes of observing frequency trends and cycles of various constructions in online media discourse.

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