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.