scholarly journals People, Projects, Organizations, and Products: Designing a Knowledge Graph to Support Multi-Stakeholder Environmental Planning and Design

2021 ◽  
Vol 10 (12) ◽  
pp. 823
Author(s):  
Sean N. Gordon ◽  
Philip J. Murphy ◽  
John A. Gallo ◽  
Patrick Huber ◽  
Allan Hollander ◽  
...  

As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into more collaborative inter-organizational networks (i.e., collaboratives, coalitions, partnerships). As diffuse networks, such regional environmental planning and design (REPD) efforts often face challenges in sharing and using spatial and other types of information. Recent advances in semantic knowledge management technologies, such as knowledge graphs, have the potential to address these challenges. In this paper, we first describe the information needs of three multi-stakeholder REPD initiatives in the western USA using a list of 80 need-to-know questions and concerns. The top needs expressed were for help in tracking the participants, institutions, and information products relevant to the REDP’s focus. To address these needs, we developed a prototype knowledge graph based on RDF and GeoSPARQL standards. This semantic approach provided a more flexible data structure than traditional relational databases and also functionality to query information across different providers; however, the lack of semantic data expertise, the complexity of existing software solutions, and limited online hosting options are significant barriers to adoption. These same barriers are more acute for geospatial data, which also faces the added challenge of maintaining and synchronizing both semantic and traditional geospatial datastores.

2020 ◽  
Vol 36 (2) ◽  
pp. 97-111
Author(s):  
Stanislava Gardasevic

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.


Author(s):  
Zoe M. Becerra ◽  
Sweta Parmar ◽  
Keenan May ◽  
Rachel E. Stuck

With the increase of online shopping, animal shelters can use websites to allow potential adopters to view adoptable animals and increase the number of adoptions. However, little research has evaluated the information needs of this user group. This study conducted a user needs analysis to determine the types of information potential adopters want when searching for a new pet, specifically a cat or dog. Twenty-six participants ranked different behavioral and physical characteristics based on the level of importance and identified their top five overall characteristics. In general, cat adopters ranked the cat’s personality and behavior to be very important and dog adopters found physical characteristics highly important. This study shows the importance of understanding potential adopters’ needs to provide relevant and valued information on online pet adoption profiles. The recommendations and insights can be used to develop pet profiles that meet adopters’ needs and help adopters find the right pet.


IFLA Journal ◽  
2021 ◽  
pp. 034003522199156
Author(s):  
Essam Mansour

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.


2021 ◽  
Vol 11 (4) ◽  
pp. 300
Author(s):  
Avishek Chatterjee ◽  
Cosimo Nardi ◽  
Cary Oberije ◽  
Philippe Lambin

Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was “covid-19 knowledge graph”. In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise. Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis. Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.


2018 ◽  
Vol 14 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Zainab Afshan Sheikh ◽  
Klaus Hoeyer

This article explores how research participants experienced information practices in an international genetic research collaboration involving the collection of biomaterial and clinical data in both Pakistan and Denmark. We investigated how people make sense of their research participation and the types of information they need and desire. We found great variation in what information exchange does and what participants experience as meaningful. For example, information practices could serve as a source of respect and recognition (in Denmark) or of hope, understanding or help when dealing with suffering (in Pakistan). Policies aimed at harmonizing ethics standards for international research do not encapsulate some of the most important aspects of information practices for the research participants involved. We suggest shifting the focus from standards of one-way information delivery to a more process-oriented form of research ethics, where the contextual exploration of local needs through a mutual engagement with participants gains more ground.


2020 ◽  
Author(s):  
Ashwag Alasmari ◽  
Lina Zhou

BACKGROUND Online Questioning and Answering (Q&A) sites have emerged as an alternative source for serving individuals’ health information needs. Despite the amount of studies concerning the analysis of user-generated content in online Q&A sites, there is an insufficient understanding of the effect of disease complexity on information seeking needs, and the types of information shared, and little research have been devoted to questions that involve multimorbidity. OBJECTIVE This study aims to investigate online sharing of health information at different levels of disease complexity. In particular, this study gains a deep insight into the effect of disease complexity in terms of information seeking needs, types of information shared, and stages of disease development. METHODS We first selected a random sample of 400 questions from each site. The data cleaning resulted in a final set of 624 questions, 316 questions from Yahoo Answers and 308 from WebMD Answers. We used a mixed data approach, including qualitative content analysis followed by statistical quantitative analysis. RESULTS The analysis of variance One Way ANOVA showed significant differences in the disease complexity (single versus multimorbid disease questions) only on two information seeking needs: diagnosis (F1, 622 =5.08, p=0.00), and treatment (F1, 622 =4.82, p=0.00). There were also statistically significant differences between the two levels of disease complexity when considering the stages of disease development, the general health stage (F1,622 =48.02, p=0.00) and chronic stage (F1,622 =54.01, p=0.00). Moreover, our findings showed significant differences among the two types of disease complexity on all types of shared information, demographic information (F1,622 =32.24, p=0.00), medical all (F1,622 = 16.75, p=0.00), medical diagnosis (F1,622 =11.04, p=0.00), as well as treatment and prevention (F1,622 =14.55, p=0.00). CONCLUSIONS The findings present implications for designing online Q&A sites to better support health information seeking. Future experimental studies should be conducted to verify these findings and provide effective health information from Q&A sites. CLINICALTRIAL


Author(s):  
Bhattacharjee Suchiradipta ◽  
Raj Saravanan

Development has many faces and complete wellbeing of human population is the most important one of them which in more than one ways involves agriculture and the farming population. Providing needed information at the right time to the rural population is the first step in their empowerment and ICTs can play an immensely important role in providing that information by increasing the dialogue between development professionals and rural people at every stage of development process. According to recent statistics released by ITU, over the last 15 years, ICTs have grown in unprecedented ways providing huge opportunities for social and economic development and this growth can be an advantage to rural advisory services. Providing correct and personalized information needs expert opinions and so multi-stakeholder engagement makes the process more efficient and ICTs provide a very unique and important platform for such collaboration, thus bringing together different stakeholders for efficient partnership. The various tools and technologies can also be tailored according to the needs of end users. But inspite of the advantages, ICTs can only be universally accepted and used when the challenges of accessibility, acceptability, funding, and sustainability are overcome. There are no formula for sure success with ICTs and situation is the best determinant of the strategy to be used and so, a balanced and strategic use of ICTs depending on the clients' needs can best utilize its potential for agricultural development and food security in developing nations.


Author(s):  
Gerald D. Weisman

Effective research application has always been an important but illusive goal in environment- behavior research. However, the fact that we have not been entirely successful in realizing this goal should not be a source of particular surprise or dismay. Problems of effective research utilization are not at all unique to environment-behavior studies; they are common across disciplines and professions that endeavor to link knowledge and action (Weisman, 1983). Such difficulties are a reflection of fundamentally different ideas of what constitutes effective research application. Assessment of the applicability of the models of psychological processes presented by Böök, Küller, and S. Kaplan (this volume), therefore, is not a simple or entirely straightforward task. It is necessary to first consider the quite different yet useful ways in which application has been defined. After this discussion of application, each of the models in this section will be briefly reviewed, and some conclusions drawn regarding their applicability to environmental planning and design. Throughout this chapter, particular emphasis is placed on the need to confront the physical environment in theoretically meaningful terms and the ways in which this can advance our ability to link environmental knowledge and action. Application may be viewed in many different ways. For some practitioners, research utilization is defined in terms of “instrumental application” (Weiss, 1980). This straightforward view focuses on “the direct application of a research finding in a project, program, policy or administrative decision” (Seidel, 1985, p. 50). Such instrumental application, however, is not the only nor necessarily the most significant avenue for research application. Almost 30 years ago, in a particularly thoughtful article, policy analyst Max Millikan explored the relationship of knowledge and action. Decision makers, Millikan suggested, “commit their elementary error in an inductive fallacy—the assumption that the solution of any problem will be advanced by the simple collection of fact.” “This is easiest to observe,” Millikan noted, “in government circles, where research is considered as identical with ‘intelligence’” (1959, p. 163).


2011 ◽  
Vol 26 (3) ◽  
pp. 126-132 ◽  
Author(s):  
Clare M. Ryan ◽  
Lee K. Cerveny

Abstract A Web-based survey of wildland fire managers in federal agencies in the western United States explored fire science information needs and sources, why particular sources are used, and barriers to obtaining and using information. The fire managers we surveyed rely heavily on internal agency information sources (colleagues, technical experts, and resource advisors) and are more likely to face barriers in their ability to access and use relevant information (lack of time, funding, and personnel) than problems with the quality or availability of data. Information accessibility and applicability are important to managers when deciding which information sources to use. Managers frequently access research provided by US Forest Service Research and Development specialists and university scientists through various publications, the Internet, and direct communication with scientists. Understanding the types of information fire managers need, the sources they access for information, and the barriers they face in obtaining and using information may lead to improved fire science and its dissemination, as well as more effective and efficient fire management.


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