Hyperactive molecules and the World-Wide-Web information system

1995 ◽  
pp. 7 ◽  
Author(s):  
Omer Casher ◽  
Gudge K. Chandramohan ◽  
Martin J. Hargreaves ◽  
Christopher Leach ◽  
Peter Murray-Rust ◽  
...  
Keyword(s):  
Information System ◽  
World Wide Web ◽  
World Wide ◽  
Web Information System ◽  
Web Information ◽  
The World

Three-Dimensional Information System on the World Wide Web

1996 ◽  
pp. 68-78
Author(s):  
Roman Berka ◽  
Martin Brachtl ◽  
Aleš Holeček ◽  
Martin Novotný Jan Přikryl ◽  
Pavel Slavík ◽  
...  
Keyword(s):  
Information System ◽  
World Wide Web ◽  
World Wide ◽  
Three Dimensional ◽  
The World

Jurnal Brainware Ananda Nurul

2020 ◽  
Author(s):  
Ananda Nurul Ikhwan
Keyword(s):  
Information System ◽  
Data Analysis ◽  
World Wide Web ◽  
Human Resources ◽  
Human Resource ◽  
World Wide ◽  
Review Of Literature ◽  
Human Resources Information System ◽  
Analysis Technique ◽  
The World

Abstrak - Analisis tinjauan pada studi literature terhadap artikel atau tulisan yang membahas tentang Perangkat Sumber Daya Mannusia ( Brainware ). Metode yang digunakan pada jurnal ini adalah studi literature dengan mengunjungi beberapa halaman atau artikel dari world wide web, yang dilakukan dengan jenis naratif (pemaparan) terkait dengan topik Perangkat Sumber Daya Manusia ( Brainware ). Teknik analisis data yang dilakukan penulis adalah dengan melakukan penyaringan (apply filter), berdasarkan tahun yakni 2019-2020, judulnya yakni yang relevan dengan Perangkat Sumber Daya Manusia dan topiknya.Kata Kunci: Perangkat manusia, Sumber Daya Manusia, BrainwareAbstract – Abstract - Analysis of the review of literature studies on articles or writings that discuss Human Resource Devices (Brainware). The method used in this journal is the study of literature by visiting several pages or articles from the world wide web, which is carried out with a narrative type (exposure) related to the topic of the use of the Human Resource Devices (Brainware). The data analysis technique used by the author is by applying filter, based on the year 2019-2020, the title of which is relevant to the Human Resources Information System and its topic.Keywords: Human Devices, Human Resources, Brainware

World Wide Web Personalization

2011 ◽  
pp. 1235-1241 ◽  
Author(s):  
Olfa Nasraoui
Keyword(s):  
World Wide Web ◽  
World Wide ◽  
Information Overload ◽  
Information Age ◽  
Web Content ◽  
Web Personalization ◽  
Web Structure ◽  
Web Information ◽  
The World ◽  
The Web

The Web information age has brought a dramatic increase in the sheer amount of information (Web content), in the access to this information (Web usage), and in the intricate complexities governing the relationships within this information (Web structure). Hence, not surprisingly, information overload when searching and browsing the World Wide Web (WWW) has become the plague du jour. One of the most promising and potent remedies against this plague comes in the form of personalization. Personalization aims to customize the interactions on a Web site, depending on the user’s explicit and/or implicit interests and desires.

A Keyphrase-Based Approach to Text Summarization for English and Bengali Documents

2014 ◽  
Vol 5 (2) ◽  
pp. 28-38 ◽  
Author(s):  
Kamal Sarkar
Keyword(s):  
World Wide Web ◽  
Rapid Growth ◽  
World Wide ◽  
Information Overload ◽  
State Of The Art ◽  
Text Summarization ◽  
Text Document ◽  
Web Information ◽  
The World ◽  
The Given

With the rapid growth of the World Wide Web, information overload is becoming a problem for an increasingly large number of people. Since summarization helps human to digest the main contents of a text document very rapidly, there is a need for an effective and powerful tool that can automatically summarize text. In this paper, we present a keyphrase based approach to single document summarization that extracts first a set of keyphrases from a document, use the extracted keyphrases to choose sentences from the document and finally form an extractive summary with the chosen sentences. We view keyphrases (single or multi-word) as the important concepts and we assume that an extractive summary of a document is an elaboration of the important concepts contained in the document to some permissible extent and it is controlled by the given summary length. We have tested our proposed keyphrase-based summarization approach on two different datasets: one for English and another for Bengali. The experimental results show that the performance of the proposed system is comparable to some state-of-the art summarization systems.

scholarly journals An Integrated Approach for Knowledge discovery and Information retrieval on Web

2020 ◽  
pp. 81-83
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
Knowledge Discovery ◽  
Web Mining ◽  
World Wide ◽  
Information Filtering ◽  
Integrated Approach ◽  
Web Data ◽  
Web Information ◽  
The World

This Paper focuses on the integration of web information and subsequent knowledge relationship discovery within the integrated web data. The problem of information overload on the Internet has brought new attention to the ideas of filtering information on internet. Knowledge Discovery is often used for analysis of large amounts of web data and enables addressing a number of tasks that arise in Semantic Web and require scalable solutions. The World Wide Web and related web Information resources no arguably stand as the best-preferred medium for distributing information. It introduces various approaches to knowledge relation discovery like model creation, exact comparison and dynamic comparison. The nature of the web and the mass of valuable web information it holds, poses an ideal stage for applying data mining techniques for efficient discovery of knowledge from the World Wide Web. The eagerness shown by various research communities has made web based data mining (Web Mining) a rich mixture of different technologies. Therefore the heterogeneity in the area of web mining is as high as web itself. Our objective is to design an approach for information filtering, a general approach to personalized information filtering. Social Information filtering essentially automates the process of “word-of-mouth” recommendations: items are recommended to a user based upon values assigned by other people with similar taste. The system determines which users have similar taste via standard formulas for computing statistical correlations. The World Wide Web (WWW) provides a vast source of information. Technique for making personalized recommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users. Recent years have seen the explosive growth of the sheer volume of information.

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