scholarly journals Keyword Search over RDF: Is a Single Perspective Enough?

2020 ◽  
Vol 4 (3) ◽  
pp. 22
Author(s):  
Christos Nikas ◽  
Giorgos Kadilierakis ◽  
Pavlos Fafalios ◽  
Yannis Tzitzikas
Keyword(s):  
Information Seeking ◽  
Information Needs ◽  
Keyword Search ◽  
Query Languages ◽  
Added Value ◽  
Multiple Perspectives ◽  
Search Results ◽  
Single Presentation ◽  
Presentation Methods ◽  
Interaction Approach

Since the task of accessing RDF datasets through structured query languages like SPARQL is rather demanding for ordinary users, there are various approaches that attempt to exploit the simpler and widely used keyword-based search paradigm. However this task is challenging since there is no clear unit of retrieval and presentation, the user information needs are in most cases not clearly formulated, the underlying RDF datasets are in most cases incomplete, and there is not a single presentation method appropriate for all kinds of information needs. As a means to alleviate these problems, in this paper we investigate an interaction approach that offers multiple presentation methods of the search results (multiple-perspectives), allowing the user to easily switch between these perspectives and thus exploit the added value that each such perspective offers. We focus on a set of fundamental perspectives, we discuss the benefits from each one, we compare this approach with related existing systems and report the results of a task-based evaluation with users. The key finding of the task-based evaluation is that users not familiar with RDF (a) managed to complete the information-seeking tasks (with performance very close to that of the experienced users), and (b) they rated positively the approach.

Interrogation Based on Semantic Annotations

2017 ◽  
Vol 9 (2) ◽  
pp. 47-67
Author(s):  
Latreche Abdelkrim ◽  
Lehireche Ahmed ◽  
Kadda Benyahia
Keyword(s):  
Information Search ◽  
Information Needs ◽  
Keyword Search ◽  
Contextual Information ◽  
Query Languages ◽  
Semantic Search ◽  
Keyword Query ◽  
Web Based ◽  
Semantic Annotations ◽  
New Process

Traditional information search approaches do not explicitly capture the meaning of a keyword query, but provide a good way for the user to express his or her information needs based on the keywords. In principle, semantic search aims to produce better results than traditional keyword search, but its progression has retarded because of to the complexity of the query languages. In this article, the authors present an approach to adapt keyword queries to querying the semantic web based on semantic annotations: the approach automatically construct structured formal queries from keywords. The authors propose a new process where they introduce a novel context-based query autocompletion feature to help the users to construct their keywords query by suggesting queries given prefixes. They also address the problem of context-based generating formal queries by exploiting user's query history, where previous queries can be used as contextual information for generating a new query. With the first tests, the authors' approach achieved encouraging results.

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.

scholarly journals User-driven efforts in creating knowledge graph information system

2020 ◽  
Vol 36 (2) ◽  
pp. 97-111
Author(s):  
Stanislava Gardasevic
Keyword(s):  
Information System ◽  
Information Seeking ◽  
Information Needs ◽  
Resource Discovery ◽  
The Body ◽  
Knowledge Graph ◽  
Structured Interviews ◽  
Community Members ◽  
Study Objective ◽  
Content Type

Purpose This paper presents the results of a qualitative study that involved students of an interdisciplinary PhD program. The study objective was to gather requirements to create a knowledge graph information system. The purpose of this study was to determine information-seeking practices and information needs of this community, to inform the functionalities of a proposed system, intended to help students with relevant resource discovery and decision-making. Design/methodology/approach The study design included semi-structured interviews with eight members of the community, followed by a website usability study with the same student participants. Findings Two main information-seeking styles are recognized and reported through user personas of international and domestic (USA) students. The findings show that the useful information resides within the community and not so much on the program website. Students rely on peer communication, although they report lack of opportunities to connect. Students’ information needs and information seeking are dependent on their progress through the program, as well as their motivation and the projected timeline. Practical implications Considering the current information needs and practices, a knowledge graph hosting both information on social networks and the knowledge produced by the activities of the community members would be useful. By recording data on their activities (for example, collaboration with professors and coursework), students would reveal further useful system functionalities and facilitate transfer of tacit knowledge. Originality/value Aside from the practical value of this research that is directly influencing the design of a system, it contributes to the body of knowledge on interdisciplinary PhD programs.

scholarly journals Reaching out for Help: Calls to a Mental Health Helpline Prior to and during the COVID-19 Pandemic

2021 ◽  
Vol 18 (9) ◽  
pp. 4505
Author(s):  
Josianne Scerri ◽  
Alexei Sammut ◽  
Sarah Cilia Vincenti ◽  
Paulann Grech ◽  
Michael Galea ◽  
...  
Keyword(s):  
Mental Health ◽  
Information Seeking ◽  
Information Needs ◽  
Medication Management ◽  
Health Issues ◽  
Health Crisis ◽  
Period 2 ◽  
National Mental Health ◽  
Restrictive Measures ◽  
Financial Issues

The COVID-19 pandemic is a major health crisis associated with adverse mental health consequences. This study examined 2908 calls made to a national mental health helpline over a 10 month period, 2 months prior to (Pre-COVID) and 8 months during the pandemic phase, that incorporated the imposition of a partial lockdown, followed by the removal and reintroduction of restrictive measures locally. Data collected included reason/s for call assistance, gender, age and number of daily diagnosed cases and deaths due to COVID-19. In the Pre-COVID phase, calls for assistance were related to information needs and depression. With the imposition of a partial lockdown, coupled with the first local deaths and spikes in number of diagnosed cases, a significant increase in number of calls targeting mental health, medication management and physical and financial issues were identified. Following the removal of local restrictions, the number of calls decreased significantly; however, with the subsequent reintroduction of restrictions, coupled with the rise in cases and deaths, assistance requested significantly targeted informational needs. Hence, whilst calls in the initial phase of the pandemic mainly targeted mental health issues, over time this shifted towards information seeking requests, even within a context where the number of deaths and cases had significantly risen.

scholarly journals “I actually got my first job through my ex-colleague”: Employment-related information seeking behavior of Bangladeshi immigrants in Canada

2021 ◽  
pp. 096100062199280
Author(s):  
Nafiz Zaman Shuva
Keyword(s):  
Information Seeking ◽  
Information Needs ◽  
Information Sources ◽  
Information Source ◽  
Occupational Status ◽  
Structured Interviews ◽  
Related Information ◽  
Immigrant Professionals ◽  
Government Of Canada ◽  
First Job

This study explores the employment-related information seeking behaviour of Bangladeshi immigrants in Canada. Using a mixed-methods approach, the study conducted semi-structured interviews with 60 Bangladeshi immigrants in Ontario, Canada, and obtained 205 survey responses. The study highlights the centrality of employment-related settlement among Bangladeshi immigrants in Ontario and reports many immigrants not being able to utilize their education and skills after arrival in Canada. The results show that Bangladeshi immigrants utilize various information sources for their employment in Canada, including friends and professional colleagues, online searchers, and settlement agencies. Although Bangladeshi immigrants utilized a large array of information sources for meeting their employment-related information needs, many interview participants emphasized that the employment-related benefits they received was because of their access to friends and professional colleagues in Canada. The survey results echoed the interview findings. The cross-tabulation results on post-arrival information sources and occupation status as well as first job information sources and occupational status in Canada show a significant association among the use of the information source “friends and professional colleagues in Canada” and immigrants’ occupational status. The study highlights the benefits of professional colleagues among immigrants in employment-related settlement contexts. It also reports the challenges faced by many immigrant professionals related to employment-related settlement because of the lack of access to their professional friends and colleagues in Canada. The author urges the Federal Government of Canada, provincial governments, and settlement agencies working with newcomers to offer services that would connect highly skilled immigrants with their professional networks in Canada, in order to get proper guidance related to obtaining a professional job or alternative career. The author calls for further studies on employment-related information seeking by immigrants to better understand the role information plays in their settlement in a new country.

The information needs and behaviour of the Egyptian elderly living in care homes: An exploratory study

IFLA Journal ◽  
2021 ◽  
pp. 034003522199156
Author(s):  
Essam Mansour
Keyword(s):  
Elderly People ◽  
Information Seeking ◽  
Information Needs ◽  
Information Sources ◽  
Care Homes ◽  
Average Income ◽  
Information Awareness ◽  
Medical Health ◽  
Types Of Information ◽  
Elderly Living

The purpose of this study is to investigate the information-seeking behaviour of the Egyptian elderly, including their information needs. A sample of 63 elderly people living in care homes was taken. It was divided into five focus groups. Of the 63 elderly people, 40 were men (63.5%) and 23 women (36.5%). Almost half (47.6%) ranged in aged from 61 to 70. About a quarter (23%) of them held a high school diploma. The highest percentage (28.6%) was labelled as average-income people. The highest percentage (60.3%) was also found to be widows or widowers. The types of information used most by the Egyptian elderly related to physical, medical/health, social, rational and recreational needs. Their information sources varied between formal and informal sources. Nearly two-thirds (63.5%) of them showed that limited knowledge, lack of interest, poor information awareness, aging, loneliness and health problems were the most significant obstacles they faced when seeking information.

Early Childhood Development Practitioners’ Information Practices through GMISP Lens: The Case of Ekurhuleni Metropolitan Municipality

Libri ◽  
2018 ◽  
Vol 68 (3) ◽  
pp. 205-217
Author(s):  
Kepi Madumo ◽  
Constance Bitso
Keyword(s):  
Information Seeking ◽  
Information Needs ◽  
Early Childhood Development ◽  
Information Service ◽  
Relevant Information ◽  
School Libraries ◽  
Department Of Education ◽  
Childhood Development ◽  
Group Discussions ◽  
Key Informant

Abstract In the interest of developing relevant information services for ECD practitioners in Ekurhuleni Metropolitan Municipality (EMM), as ECD is one of the national priorities, a study was conducted to ascertain their information needs and information-seeking behaviour. Using Leckie, Pettigrew and Sylvain’s General Model of the Information Seeking of Professionals (GMISP) as the theoretical framework, and situated within interpretivist paradigm, the study took a qualitative approach to collect data, with the results based on group discussions and an interview with a key informant. The research focused on establishing Grade R practitioners’ information needs, with information sources they often consulted, actions and strategies used when seeking information, as well as challenges they face when seeking information. Grade R practitioners need information to increase their knowledge for optimum performance of their duties. To satisfy the demand for information, it is recommended that the EMM libraries and Gauteng Department of Education school libraries should consider a coordinated and accessible library and information service (LIS) that supports ECD practitioners. The plans and design of LIS in the EMM should accommodate the information needs expressed by the Grade R practitioners.

Exploring Automated Text Classification to Improve Keyword Corpus Search Results for Bioinspired Design

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Michael W. Glier ◽  
Daniel A. McAdams ◽  
Julie S. Linsey
Keyword(s):  
Text Mining ◽  
Text Classification ◽  
Keyword Search ◽  
Idea Generation ◽  
Support Vector ◽  
Biological Knowledge ◽  
Svm Classifier ◽  
Search Results ◽  
Bioinspired Design ◽  
Mining Algorithms

Bioinspired design is the adaptation of methods, strategies, or principles found in nature to solve engineering problems. One formalized approach to bioinspired solution seeking is the abstraction of the engineering problem into a functional need and then seeking solutions to this function using a keyword type search method on text based biological knowledge. These function keyword search approaches have shown potential for success, but as with many text based search methods, they produce a large number of results, many of little relevance to the problem in question. In this paper, we develop a method to train a computer to identify text passages more likely to suggest a solution to a human designer. The work presented examines the possibility of filtering biological keyword search results by using text mining algorithms to automatically identify which results are likely to be useful to a designer. The text mining algorithms are trained on a pair of surveys administered to human subjects to empirically identify a large number of sentences that are, or are not, helpful for idea generation. We develop and evaluate three text classification algorithms, namely, a Naïve Bayes (NB) classifier, a k nearest neighbors (kNN) classifier, and a support vector machine (SVM) classifier. Of these methods, the NB classifier generally had the best performance. Based on the analysis of 60 word stems, a NB classifier's precision is 0.87, recall is 0.52, and F score is 0.65. We find that word stem features that describe a physical action or process are correlated with helpful sentences. Similarly, we find biological jargon feature words are correlated with unhelpful sentences.

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