Streamlining user interaction in tag-based conversational navigation of knowledge resource libraries

2013 ◽  
Author(s):  
Jinyue Xia ◽  
David C. Wilson
Keyword(s):  
User Interaction ◽  
Knowledge Resource

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

An Inertial Device-based User Interaction with Occlusion-free Object Handling in a Handheld Augmented Reality

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
Goh Eg Su ◽  
◽  
Mohd Sharizal Sunar ◽  
Rino Andias ◽  
Ajune Wanis Ismail ◽  
...  
Keyword(s):  
Augmented Reality ◽  
User Interaction ◽  
Free Object

DELFTMDD: A tool for integration of independent models in a decision support system

1999 ◽  
Vol 39 (4) ◽  
pp. 193-201
Author(s):  
P. J. A. Gijsbers
Keyword(s):  
Mathematical Models ◽  
Data Management ◽  
Data Exchange ◽  
User Interaction ◽  
Integrated Analysis ◽  
Data Dictionary ◽  
Simulation And Optimization ◽  
Data Editor ◽  
Generic Data Model ◽  
Using Data

The need for integrated analysis poses a request for integration of computer models, paying extra attention to interfaces, data management and user interaction. Sector wide standardization using data dictionaries and data exchange formats can be a great help in streamlining data exchange. However, this type of standardization can have some drawbacks for a generic framework for model integration. Another concept, called Model Data Dictionary (MDD), has been developed as an alternative for proper data management. The concept is a variant on the federated database concept, a concept where local databases maintain their autonomy, while an interconnection database provides a link for sharing data. The MDD is based on a highly generic data model for geographic referenced objects, which if needed facilitates mapping of the sector wide data dictionary. External interfaces provide, in combination with a data format mapping component, a link to SQL-based data sources and model specific databases. A generic Object Data Editor (ODE), linked to the MDD, has been proposed for provision of a common data editing facility for mathematical models. A test version of the combined MDD/ODE-concept has shown the applicability for integration of all kinds of geographic object oriented mathematical models (both simulation and optimization).

New Advances of Heparanase in Human Diseases

2020 ◽  
Vol 20 (2) ◽  
pp. 90-95 ◽  
Author(s):  
Hao Jin ◽  
Min Cui
Keyword(s):  
Tumor Progression ◽  
Epithelial To Mesenchymal Transition ◽  
Web Of Science ◽  
Human Diseases ◽  
Mesenchymal Transition ◽  
Hand Search ◽  
Knowledge Resource ◽  
Therapy Target

Objective: This mini-review aims to discuss research works about heparanase published in 2016, 2017, 2018 and 2019 and provide a direction for therapy methods targeting heparanase. Patients and Methods: The relevant data were searched by using keywords “heparanase” “function”, “diseases” and “inhibitors” in “PubMed”, “Web of Science” and “China Knowledge Resource Integrated databases (CNKI)”, and a hand-search was done to acquire peer-reviewed articles and reports about heparanase. Results: Except for tumor progression, pathological processes including procoagulant activities, preeclamptic placentas, inflammation and so on are all verified to be associated with heparanase activity. Also, these newly-found functions are closely related to certain cellular activities, including epithelial to Mesenchymal Transition (EMT). Conclusion: It could be concluded that heparanase would be a potential and valuable therapy target.

Designing Terminology Resources for Environmental Translation

2020 ◽  
pp. 586-615
Author(s):  
Pamela Faber ◽  
Pilar León-Araúz
Keyword(s):  
Knowledge Base ◽  
Digital Age ◽  
Environmental Information ◽  
Classification Schemes ◽  
Linguistic Data ◽  
Conceptual Frame ◽  
Knowledge Resource ◽  
Maximum Benefit

A well-designed terminological knowledge base is a structured repository of linguistic data, which is enriched with metadata and structured according to specific classification schemes and concept-based analysis. There is now no limit to the quantity and type of information in each entry since the digital age has liberated lexicographical and terminological resources from space constraints. More specifically, a terminological knowledge resource for environmental translators should be tailored to the specific needs of users who work with this multifaceted type of specialized text. Accordingly, the type and configuration of the environmental information should reflect the micro- and macrostructural design of the resource and provide frame-like structures in which concepts and terms are dynamically related to others. Designers must also decide how each type should be accessed and in what sequence. The map of the resource can have an underlying conceptual frame that allows users to derive the maximum benefit from it. This chapter provides an overview of the needs of environmental translators and explains how they can be met in the design of a knowledge resource. This is illustrated by the type and number of data fields, their underlying principles, and their mode of visualization.

scholarly journals Categorizing Touch-Input Locations from Touchscreen Device Interfaces via On-Board Mechano-Acoustic Transducers

2021 ◽  
Vol 11 (11) ◽  
pp. 4834
Author(s):  
Kai Ren Teo ◽  
Balamurali B T ◽  
Jianying Zhou ◽  
Jer-Ming Chen
Keyword(s):  
User Interaction ◽  
Data Access ◽  
Machine Learning Techniques ◽  
Acoustic Features ◽  
Touch Input ◽  
Acoustic Transducers ◽  
Learning Techniques ◽  
Access Controls ◽  
Input Location ◽  
Mitigation Methods

Many mobile electronics devices, including smartphones and tablets, require the user to interact physically with the device via tapping the touchscreen. Conveniently, these compact devices are also equipped with high-precision transducers such as accelerometers and microphones, integrated mechanically and designed on-board to support a range of user functionalities. However, unintended access to these transducer signals (bypassing normal on-board data access controls) may allow sensitive user interaction information to be detected and thereby exploited. In this study, we show that acoustic features extracted from the on-board microphone signals, supported with accelerometer and gyroscope signals, may be used together with machine learning techniques to successfully determine the user’s touch input location on a touchscreen: our ensemble model, namely the random forest model, predicts touch input location with up to 86% accuracy in a realistic scenario. Accordingly, we present the approach and techniques used, the performance of the model developed, and also discuss limitations and possible mitigation methods to thwart possible exploitation of such unintended signal channels.

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