scholarly journals A Query Language and User Interface for XML Information Retrieval

2003 ◽  
pp. 59-75 ◽  
Author(s):  
Norbert Fuhr ◽  
Kai Großjohann ◽  
Sascha Kriewel
Keyword(s):  
Information Retrieval ◽  
User Interface ◽  
Query Language

GuessXQ

2013 ◽  
pp. 57-76
Author(s):  
Daniela Morais Fonte ◽  
Daniela da Cruz ◽  
Pedro Rangel Henriques ◽  
Alda Lopes Gancarski
Keyword(s):  
Information Retrieval ◽  
Learning Process ◽  
Web Application ◽  
Relational Databases ◽  
Query Language ◽  
General Purpose ◽  
Considerable Effort ◽  
Document Structure ◽  
Query By Example ◽  
Xml Documents

XML is a widely used general-purpose annotation formalism for creating custom markup languages. XML annotations give structure to plain documents to interpret their content. To extract information from XML documents XPath and XQuery languages can be used. However, the learning of these dialects requires a considerable effort. In this context, the traditional Query-By-Example methodology (for Relational Databases) can be an important contribution to leverage this learning process, freeing the user from knowing the specific query language details or even the document structure. This chapter describes how to apply the Query-By-Example concept in a Web-application for information retrieval from XML documents, the GuessXQ system. This engine is capable of deducing, from an example, the respective XQuery statement. The example consists of marking the desired components directly on a sample document, picked-up from a collection. After inferring the corresponding query, GuessXQ applies it to the collection to obtain the desired result.

Introduction

1999 ◽  
Author(s):  
Agnes Kukulska-Hulme
Keyword(s):  
Information Retrieval ◽  
User Interface ◽  
Mode Of Delivery ◽  
Computer Users ◽  
Human Language ◽  
Video Training ◽  
Computer Screen ◽  
Computer Professionals ◽  
On Line ◽  
Practical Recommendations

When asked about the purpose of human language, most people would instinctively reply that its main purpose is communication. Most of us take for granted our ability to communicate easily through language. It would be natural for us, as computer users, to expect the same degree of ease when we interact with systems and user manuals. But even computer professionals and other experienced users are often baffled by the explanations that appear in so-called “help” facilities; perplexed by the meanings of words in menu options, on toolbars, and buttons; and hampered in information retrieval by having to use terms that do not readily express their needs. Words on the computer screen can create a barrier to communication, yet users who turn to help files or documentation are frequently disappointed. Times columnist Lynne Truss speaks for many when, at the end of yet another unrewarding session on her computer, she declared: “I have even stopped looking at those files titled ‘Read This,’ because it’s sad but true; I have never yet opened one whose contents I could understand” (1996). Often, a frustrated cry of “I don’t understand the options on the screen” leads many users to just “try it and see what happens,” with potentially disastrous or time-wasting consequences. “I don’t understand the manuals” is another typical refrain, which provides an excellent reason for not reading them. It has been said so often (e.g., Smith 1992), that alternative ways of informing or teaching users are now being promoted; for instance, video training. This mode of delivery can make information more palatable, but it does not eliminate the problems created by confusing use of language in the user interface. The difficulties experienced by both professional and casual or new users are not inevitable; they are not something to be accepted as a feature of computer systems, manuals, and on-line documentation. Something can be done to improve the way that language is presented and used in these contexts. This book provides the necessary communicative framework as well as practical recommendations to make it possible to significantly improve user interface and documentation design.

Modeling Users for Adaptive Information Retrieval by Capturing User Intent

2011 ◽  
pp. 88-118 ◽  
Author(s):  
Eugene Santos Jr. ◽  
Hien Nguyen
Keyword(s):  
Information Retrieval ◽  
Relevance Feedback ◽  
Information Seeking ◽  
Query Language ◽  
Traditional Approach ◽  
User Model ◽  
Evaluation Methodology ◽  
User Intent ◽  
Document Frequency ◽  
Frequency Weighting

In this chapter, we study and present our results on the problem of employing a cognitive user model for Information Retrieval (IR) in which a user’s intent is captured and used for improving his/her effectiveness in an information seeking task. The user intent is captured by analyzing the commonality of the retrieved relevant documents. The effectiveness of our user model is evaluated with regards to retrieval performance using an evaluation methodology which allows us to compare with the existing approaches from the information retrieval community while assessing the new features offered by our user model. We compare our approach with the Ide dec-hi approach using term frequency inverted document frequency weighting which is considered to be the best traditional approach to relevance feedback. We use CRANFIELD, CACM and MEDLINE collections which are very popular collections from the information retrieval community to evaluate relevance feedback techniques. The results show that our approach performs better in the initial runs and works competitively with Ide dec-hi in the feedback runs. Additionally, we evaluate the effects of our user modeling approach with human analysts. The results show that our approach retrieves more relevant documents to a specific analyst compared to keyword-based information retrieval application called Verity Query Language.

Implementing the basic functions of free text information retrieval using binary relationships

1983 ◽  
Vol 6 (5) ◽  
pp. 165-172 ◽  
Author(s):  
F.N. Teskey
Keyword(s):  
Information Retrieval ◽  
User Interface ◽  
Ad Hoc ◽  
General Information ◽  
Free Text ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Relationship Model ◽  
Text Information ◽  
Text Information Retrieval

In this paper the existing functions of, and a number of future requirements for, information retrieval systems are dis cussed. Two basic requirements for free text information retri eval systems have been identified; one for a more general information modelling language and the other for a simple user interface for complex ad-hoc queries. The paper describes some existing and proposed hardware and software methods for implementing free text information retrieval systems. Emphasis is placed on methods of improving the functionality of the system rather than on methods of increasing the performance. It is suggested that considerable improvements can be achieved by a more imaginative use of existing hardware, though it is realised that special purpose architectures will play an increas ingly important role in information systems. The paper con cludes with a design for a new information retrieval system based on the use of the Binary Relationship Model for infor mation storage and retrieval, and an interactive graphical dis play for the user interface.

scholarly journals Exploring User Interface Improvements for Software Developers who are Blind

2020 ◽  
Vol 23 (1) ◽  
pp. 1-14
Author(s):  
Guarionex Salivia ◽  
◽  
Flint Million ◽  
Megan Bening ◽  
◽  
...  
Keyword(s):  
Information Retrieval ◽  
Longitudinal Study ◽  
User Interface ◽  
Software Development ◽  
User Experience ◽  
Single Subject ◽  
Simulation Tool ◽  
Software Developers ◽  
Architecture Simulation ◽  
Development Course

Software developers who are blind and interact with the computer non-visually face unique challenges with information retrieval. We explore the use of speech and Braille combined with software to provide an improved interface to aid with challenges associated with information retrieval. We motivate our design on common tasks performed by students in a software development course using a Microprocessor without Interlocked Pipeline Stages (MIPS) architecture simulation tool. We test our interface via a single-subject longitudinal study, and we measure and show improvement in both the user’s performance and the user experience.

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