scholarly journals From Search Engines to Augmented Search Services: An End-User Development Approach

2017 ◽  
pp. 115-133 ◽  
Author(s):  
Gabriela Bosetti ◽  
Sergio Firmenich ◽  
Alejandro Fernandez ◽  
Marco Winckler ◽  
Gustavo Rossi
Keyword(s):  
Search Engines ◽  
End User ◽  
Development Approach

Google

2009 ◽  
pp. 1-15
Author(s):  
Andrew Pauxtis
Keyword(s):  
Web Sites ◽  
Search Engines ◽  
Personal Space ◽  
Main Stream ◽  
Personal Privacy ◽  
End User ◽  
Internet Service ◽  
Web Based ◽  
Mail Service ◽  
E Mail

What began as simple homepages that listed favorite Web sites in the early 1990’s have grown into some of the most sophisticated, enormous collections of searchable, organized data in history. These Web sites are search engines—the golden gateways to the Internet—and they are used by virtually everyone. Search engines, particularly Google, log and stamp each and every search made by end-users and use that collected data for their own purposes. The data is used for an assortment of business advantages, some which the general population is not privy too, and most of which the casual end-user is typically unfamiliar with. In a world where technology gives users many conveniences, one must weigh the benefits of those conveniences against the potential intrusions of personal privacy. Google’s main stream of revenue is their content-targeted “AdWords” program. AdWords—while not a direct instance of personal privacy breach—marks a growing trend in invading personal space in order to deliver personalized content. Gmail, Google’s free Web-based e-mail service, marked a new evolution in these procedures, scanning personal e-mail messages to deliver targeted advertisements. Google has an appetite for data, and their hundreds of millions of users deliver that every week. With their eyes on moving into radio, television, print, establishing an Internet service provider, furthering yet the technology of AdWords, as well as creating and furthering technology in many other ventures, one must back up and examine the potential privacy and intrusion risks associated with the technological conveniences being provided.

Multilingual Text Mining

2011 ◽  
pp. 1380-1385 ◽  
Author(s):  
Peter A. Chew
Keyword(s):  
Text Mining ◽  
Search Engines ◽  
Text Processing ◽  
The European Union ◽  
End User ◽  
The World ◽  
Recent Developments ◽  
English Speaking ◽  
Multilingual Text ◽  
Multiple Languages

The principles of text mining are fundamental to technology in everyday use. The world wide web (WWW) has in many senses driven research in text mining, and with the growth of the WWW, applications of text mining (like search engines) have by now become commonplace. In a way that was not true even less than a decade ago, it is taken for granted that the ‘needle in the haystack’ can quickly be found among large volumes of text. In most cases, however, users still expect search engines to return results in the same language as that of the query, perhaps the language best understood by the user, or the language in which text is most likely to be available. The distribution of languages on the WWW does not match the distribution of languages spoken in general by the world’s population. For example, while English is spoken by under 10% of the world’s population (Gordon 2005), it is still predominant on the WWW, accounting for perhaps two-thirds of documents. There are variety of possible reasons for this disparity, including technological inequities between different parts of the world and the fact that the WWW had its genesis in an English-speaking country. Whatever the cause for the dominance of English, the fact that two-thirds of the WWW is in one language is, in all likelihood, a major reason that the concept of multilingual text mining is still relatively new. Until recently, there simply has not been a significant and widespread need for multilingual text mining. A number of recent developments have begun to change the situation, however. Perhaps these developments can be grouped under the general rubric of ‘globalization’. They include the increasing adoption, use, and popularization of the WWW in non-Englishspeaking societies; the trend towards political integration of diverse linguistic communities (highly evident, for example, in the European Union); and a growing interest in understanding social, technological and political developments in other parts of the world. All these developments contribute to a greater demand for multilingual text processing – essentially, methods for handling, managing, and comparing documents in multiple languages, some of which may not even be known to the end user.

An End-User Development Approach to Secure Smart Environments

2021 ◽  
pp. 36-52
Author(s):  
Bernardo Breve ◽  
Giuseppe Desolda ◽  
Vincenzo Deufemia ◽  
Francesco Greco ◽  
Maristella Matera
Keyword(s):  
Smart Environments ◽  
End User ◽  
Development Approach

An end user evaluation of query formulation and results review tools in three medical meta-search engines

2007 ◽  
Vol 76 (11-12) ◽  
pp. 780-789 ◽  
Author(s):  
Gondy Leroy ◽  
Jennifer Xu ◽  
Wingyan Chung ◽  
Shauna Eggers ◽  
Hsinchun Chen
Keyword(s):  
Search Engines ◽  
User Evaluation ◽  
End User ◽  
Query Formulation ◽  
Meta Search

scholarly journals Characterizing Data Discovery and End-User Computing Needs in Clinical Translational Science

2011 ◽  
Vol 23 (4) ◽  
pp. 17-30 ◽  
Author(s):  
Parmit K. Chilana ◽  
Elishema Fishman ◽  
Estella M. Geraghty ◽  
Peter Tarczy-Hornoch ◽  
Fredric M. Wolf ◽  
...  
Keyword(s):  
Translational Science ◽  
End User ◽  
Data Discovery ◽  
Iterative Development ◽  
Research Systems ◽  
Data Querying ◽  
Development Approach ◽  
Ongoing Evaluation ◽  
End User Computing

In this paper, the authors present the results of a qualitative case-study seeking to characterize data discovery needs and barriers of principal investigators and research support staff in clinical translational science. Several implications for designing and implementing translational research systems have emerged through the authors’ analysis. The results also illustrate the benefits of forming early partnerships with scientists to better understand their workflow processes and end-user computing practices in accessing data for research. The authors use this user-centered, iterative development approach to guide the implementation and extension of i2b2, a system they have adapted to support cross-institutional aggregate anonymized clinical data querying. With ongoing evaluation, the goal is to maximize the utility and extension of this system and develop an interface that appropriately fits the swiftly evolving needs of clinical translational scientists.

scholarly journals Characterizing Data Discovery and End-User Computing Needs in Clinical Translational Science

2012 ◽  
pp. 301-313
Author(s):  
Parmit K. Chilana ◽  
Elishema Fishman ◽  
Estella M. Geraghty ◽  
Peter Tarczy-Hornoch ◽  
Fredric M. Wolf ◽  
...  
Keyword(s):  
Translational Science ◽  
End User ◽  
Data Discovery ◽  
Iterative Development ◽  
Research Systems ◽  
Data Querying ◽  
Development Approach ◽  
Ongoing Evaluation ◽  
End User Computing

In this paper, the authors present the results of a qualitative case-study seeking to characterize data discovery needs and barriers of principal investigators and research support staff in clinical translational science. Several implications for designing and implementing translational research systems have emerged through the authors’ analysis. The results also illustrate the benefits of forming early partnerships with scientists to better understand their workflow processes and end-user computing practices in accessing data for research. The authors use this user-centered, iterative development approach to guide the implementation and extension of i2b2, a system they have adapted to support cross-institutional aggregate anonymized clinical data querying. With ongoing evaluation, the goal is to maximize the utility and extension of this system and develop an interface that appropriately fits the swiftly evolving needs of clinical translational scientists.

scholarly journals Evaluating Search Results in Exploratory Search

2018 ◽  
Vol 7 (4.35) ◽  
pp. 276
Author(s):  
Mohammed Najah Mahdi ◽  
Abdul Rahim Ahmad ◽  
Roslan Ismail
Keyword(s):  
World Wide Web ◽  
Search Engines ◽  
Information Needs ◽  
World Wide ◽  
Exploratory Search ◽  
End User ◽  
Web Technologies ◽  
Search Results ◽  
The World ◽  
Retrieval Organization

The volume of information available on the World Wide Web is quite significant. This plethora of information has, to a large extent constantly challenged researchers in seeking for ways of making the information easily accessible to end users in as convenient ways as possible. Characteristically, ensuring the accessibility of this large amount of information involves three all-encompassing processes of retrieval, organization and presentation. The World Wide Web offers a platform for sharing information from large database repositories globally. However, information needs to be searched with specialized tools commonly referred to as search engines. While a number of search engines does presently exist, most of these search engines are noted for their inability to retrieve information usable to the end user. It is therefore critical for the results generated from search engines to be intelligently organized for the optimal usefulness of the information to the searcher. Exploratory web technologies is capable of filing this gap. Therefore, this paper reviews exploratory search as a mechanism for conducting result-oriented search. It also reviews the ways of evaluating the search results obtained from an exploratory search.

scholarly journals Optimizing performance of search engines based on user behavior

2018 ◽  
Vol 7 (2.7) ◽  
pp. 359
Author(s):  
Dr Jkr Sastry ◽  
M Sri Harsha Vamsi ◽  
R Srinivas ◽  
G Yeshwanth
Keyword(s):  
Search Engines ◽  
User Behavior ◽  
Search Process ◽  
Web Pages ◽  
User Characteristics ◽  
End User ◽  
The Web

WEB clients use the WEB for searching the content that they are looking for through inputting keywords or snippets as input to the search engines. Search Engines follows a process to collect the content and provide the same as output in terms of URL links. One can observe that only 20% of the outputted URLS are of use to the end user. 80% of output is unnecessarily surfed leading to wastage of money and time. Customers have surfing characteristics which can be collected as the user keep surfing. The search process can be made efficient by including the user characteristics / Behaviors as part and parcel of search process. This paper is aimed at improving the search process through integration of the user behavior in indexing and ranking the web pages.

scholarly journals Facilitating the interaction with data warehouse schemas through a visual web-based approach

2014 ◽  
Vol 11 (2) ◽  
pp. 481-501 ◽  
Author(s):  
Clemente Borges ◽  
José Macías
Keyword(s):  
Programming Languages ◽  
Data Warehouse ◽  
User Interfaces ◽  
Ease Of Use ◽  
End User ◽  
Web Based ◽  
Database Structure ◽  
Development Approach ◽  
The One ◽  
Visualization Techniques

In most respects, there are implicit drawbacks concerning representation and interaction with data in relational-database applications. On the one hand, there is a lack of expressiveness and ease of use in the user interfaces that handle such data. On the other hand, there is an implicit need for interactive end-user visual tools to query data and avoid dependency on programming languages. The main aim of this work is to study the problem of database interaction and usability, comparing existing solutions and providing a new approach that overcomes existing problems. We propose a web-based tool that manipulates Data Warehouse schemas by using a visual language to represent the database structure and providing several visualization techniques that facilitate the interaction and creation of queries involving different levels of complexity. We based our research on an End-User Development approach that has been evaluated to obtain some initial usability indicators.

Sign in / Sign up

Export Citation Format

Share Document