Top Research Papers on Indian Knowledge System

The knowledge-based system (KBS) (also commonly referred to as the expert system) approach to problem-solving is a programming paradigm that also originally evolved within the field of artificial intelligence. In reality, this approach encompasses a vast collection of diverse problem-solving strategies. The common characteristic uniting all of these various KBS strategies is that, when it comes to problem-solving, each unequivocally stresses the dominance of domain-specific knowledge over the particular problem-solving algorithm being employed. This programming strategy has found wide spread s...

To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users’ preferences. Although numerous efforts have been made toward more personalized recommendations, recommender systems still suffer from several challenges, such as data sparsity and cold-start problems. In recent years, generating recommendations with the knowledge graph as side information has attracted considerable interest. Such an approach can not only alleviate the above mentioned issues for a more accurate recommendation, but also pr...

Abstract The effective and appropriate bridging of Western science with traditional or Indigenous knowledge is an ongoing discussion in the literature and in practice. The discourse transitioned from separate knowledge system to knowledge integration and most recently to knowledge co-production. We argue it is the moral and ethical responsibility of Western scientists working in and with Indigenous communities to make a concerted effort to collectively create mutually advantageous new knowledge while strengthening traditional knowledge and considering the normative impacts of Western science m...

This work proposes a multi-modal graph attention technique to conduct information propagation over MMKGs, and then uses the resulting aggregated embedding representation for recommendation.

A broad, complete, and systematic overview of the definitions and challenges of the knowledge graph fusion, which represents a holistic approach for integrating, enhancing, and unifying knowledge graphs is provided.

Hand signs are an effective form of human-to-human communication that has a number of possible applications. Being a natural means of interaction, they are commonly used for communication purposes by speech impaired people worldwide. In fact, about one percent of the Indian population belongs to this category. This is the key reason why it would have a huge beneficial effect on these individuals to incorporate a framework that would understand Indian Sign Language. In this paper, we present a technique that uses the Bag of Visual Words model (BOVW) to recognize Indian sign language alphabets (...

The knowledge graph (KG) technique and concept–knowledge (C-K) model is adopted and the evaluation result of its knowledge evolution is acceptable, and it hopes that this work can offer insightful guidance to industrial organizations in their development of Smart PSS.

This research used a novel futures-oriented and participatory approach that asked what future envisioned knowledge systems might need to look like and how they might get there to suggest that envisioned future systems will need to be much more collaborative, open, diverse, egalitarian, and able to work with values and systemic issues.

HCQ is now the mainstay long-term treatment in SLE, recommended by current guidelines in all patients unless contraindications or side effects, and summarized the existing guidelines and recommendations for HCQ use in rheumatology with a systematic literature search for the randomized controlled trials on lupus.

Purpose This article aims to explore the relationship among high performance work systems (HPWS), innovation, and knowledge sharing in project-based organizations. Design/methodology/approach Using the ability, motivation, and opportunity (AMO) framework under the theory of HPWS, our article hypothesizes that the AMO enhancing practices of project-based organizations lead to better innovation performance of their employees through the mediating role of knowledge sharing. Time-lagged data of AMO practices and knowledge sharing practices were collected from the employees of these organizations o...

There is a need to intensify the awareness and address the mental health issues of people during this COVID-19 pandemic.

The results of this study show that perceived usefulness and perceived ease of use directly impact the behavioral intention of the employees to adopt an AI integrated CRM system in organizations.

A taxonomy of existing techniques that are able to integrate traditional physics-based modeling approaches with state-of-the-art machine learning (ML) techniques is provided, which uncovers knowledge gaps and potential crossovers of methods between disciplines.

To automate and facilitate predictive analytics in Industry 4.0, as the Cyber-Physical Systems (CPS) are becoming more knowledge-intensive, uniform knowledge representation of physical resources and real-time reasoning capabilities for analytic tasks are needed to automate the decision-making processes for these systems.

The knowledge systems and practices of Indigenous Peoples and local communities play critical roles in safeguarding the biological and cultural diversity of our planet. Globalization, government policies, capitalism, colonialism, and other rapid social-ecological changes threaten the relationships between Indigenous Peoples and local communities and their environments, thereby challenging the continuity and dynamism of Indigenous and Local Knowledge (ILK). In this article, we contribute to the “World Scientists' Warning to Humanity,” issued by the Alliance of World Scientists, by exploring opp...

This research contributes to the existing literature analyzing the KMS topic by considering it from the digital innovation processes perspective, pointing out the need to implement new knowledge creation and to share measures which support global and inclusive growth.

A mobile application that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and transferring information and knowledge in the rapidly changing environment will help improve the efficiency of the tourism system.

This work investigates the potential of leveraging knowledge graph (KG) in dealing with issues of RL methods for IRS, which provides rich side information for recommendation decision making and makes use of the prior knowledge of the item correlation learned from KG to guide the candidate selection for better candidate item retrieval.

The history of the IHS from colonization to the present-day system is reviewed, persistent disparities in AI/AN health and health care are highlighted, and six key present- day challenges are discussed: inadequate funding, limited human resources, and the promise and challenges of health technology.

This paper proposes a novel multi-level cross-view contrastive learning mechanism, named MCCLK, which comprehensively considers three different graph views for KG-aware recommendation, including global-level structural view, local-level collaborative and semantic views, and a k-Nearest-Neighbor item-item semantic graph construction module is proposed.

COVID-19 pandemic has disrupted the Indian agricultural system extensively. Nevertheless, the recent quarterly GDP estimates post-COVID scenario showcase robustness and resilience in Indian agriculture, the only sector to register a positive growth of 3.4% during the financial year (FY here after) 2020–21 (Quarter 1: April 2020 to June 2020). At the same time, the immediate past quarter growth was estimated at 5.9% witnessing a decline by 2.5% point. In this context, we aim to synthesize the early evidence of the COVID-19 impact on the Indian agricultural system viz., production, marketing and...

On November 8, 2016, India demonetized 86 percent of its currency in circulation. The stated objectives of the move were to seize undeclared income, to destroy counterfeit currency, to speed up formalization of the economy, and to increase the tax base. I find that the evidence over the subsequent three years suggests that the move had limited success in achieving its stated objectives. Disaggregated data suggests that demonetization did have appreciable costs in terms of lost jobs and output. However, the output costs appear to have been temporary.

The demand for medicinal plants is increasing, and this leads to unscrupulous collection from the wild and adulteration of supplies. Providing high-quality planting material for sustainable use and thereby saving the genetic diversity of plants in the wild is important. In this regard, the methods of propagation of some important medicinal plants are provided along with the traditional methods of propagation. Indian Medicinal Plants: Uses and Propagation Aspects offers a unique compendium of more than 270 medicinal plant species from India with detailed taxonomic classifications based on the B...

Abstract The Rights of Indians and Tribes is the most popular book in the field of federal Indian law and has sold over 150,000 copies since it was first published in 1983. This user-friendly book explains federal Indian law in a conversational manner, yet is highly authoritative, containing over two thousand footnotes with citations to relevant court decisions, statutes, and agency regulations. It is helpful for tribal advocates, students, government officials, lawyers, and members of the general public. The book uses a question-and-answer format and covers every important subject impacting I...

A taxonomy is introduced that serves as a classification framework for informed machine learning approaches and considers the source of knowledge, its representation, and its integration into the machine learning pipeline.

This approach unifies the recommendation and conversation subtasks into the prompt learning paradigm, and utilizes knowledge-enhanced prompts based on a fixed pre-trained language model (PLM) to fulfill both subtasks in a unified approach.

This paper presents a method to interpret the success of knowledge distillation by quantifying and analyzing task-relevant and task-irrelevant visual concepts that are encoded in intermediate layers of a deep neural network (DNN).

Purpose The pivotal role of knowledge management (KM) and its extensive implications have been debated in the academic literature with insufficient focus on its link to particular organizational control mechanisms such as performance measurement systems (PMS). To bridge this gap and building on resource orchestration theory, this paper aims to investigate the relationships between KM factors, PMS and corporate performance. Design/methodology/approach Based on a survey data set of 92 listed companies in Iran, the framework and hypotheses were tested using structural equation modeling (SEM) base...

This work incorporates both word-oriented and entity-oriented knowledge graphs~(KG) to enhance the data representations in CRSs, and adopts Mutual Information Maximization to align the word-level andentity-level semantic spaces.

For the first time in knowledge distillation, cross-stage connection paths are proposed and a new review mechanism is proposed that requires negligible computation overhead, and outperforms other methods on a variety of tasks.

This paper takes the literature data related to the recommendation system theme from 2009 to 2018 and included in the core collection of Web of Science database as the research object, and utilizes bibliometric methods to analyze the theme of recommendation system.

The state-of-the art in ERHs designed for controlled drug delivery systems (DDSs) were reviewed and differentERHs were further characterized focusing mainly on glucose oxidase-, β-galactosidase- and metalloproteinases-based catalyzed reactions.

The proposed S-DReP framework provides a roadmap to establish an urban resilience knowledge system in HDCs enabling practitioners, decision-makers, and local bodies to design action plans for future vigilance reducing the worsening impacts of hazards on cities.

Knowledge hiding is an intriguing concept with evident adverse effects on organizations, as it restrains creativity, hampers teamwork and collaboration, and ultimately affects organizational performance. Conversely, organizational knowledge is a critical resource for sustainable growth and marketplace success. However, studies on the predictors and consequences of knowledge hiding in an organization are scant, while the role of knowledge hiders and seekers in this context is largely unexplored. The present research fills this gap by identifying the predictors and analyzing the consequences of ...

KGE_NFM is developed, a unified framework for DTI prediction by combining a knowledge graph and a recommendation system, and achieves accurate and robust predictions on four benchmark datasets, especially in the scenario of the cold start for proteins.

In this review, the authors discuss the anatomical structures, neurotransmitters/mediators, and corresponding receptors, as well as intracellular emetic signaling pathways involved in the processes of nausea and vomiting in diverse animal models aswell as humans.

Globally more than half of the pesticides are utilized in Asia. India stands 12th in pesticide use globally and 3rd in Asia after China and Turkey. In present study, the data of different types of pesticides, pesticide use pattern and detailed pesticide consumption of the India and world were collected, organized and summarized. Agriculture is the most important sector of the Indian economy providing employment and livelihood to nearly 70% of the total population. And pesticides are an integral part of modern agriculture. Insecticides, fungicides and herbicides are commonly used for pest contr...

Abstract The positive Indian Ocean Dipole (IOD) event in 2019 was among the strongest on record, while the Indian Summer monsoon (ISM) was anomalously dry in June then very wet by September. We investigated the relationships between the IOD, Pacific sea surface temperature (SST), and ISM rainfall during 2019 with an atmospheric general circulation model forced by observed SST anomalies. The results show that the extremely positive IOD was conducive to a wetter‐than‐normal ISM, especially late in the season when the IOD strengthened and was associated with anomalous low‐level divergence over th...

The proposed sequential latent variable model can keep track of the prior and posterior distribution over knowledge and can not only reduce the ambiguity caused from the diversity in knowledge selection of conversation but also better leverage the response information for proper choice of knowledge.

Tracking the historical events that lead to the interweaving of data and knowledge.