Mayukh Bagchi

Mayukh Bagchi
Università degli Studi di Trento | UNITN · Department of Information Engineering and Computer Science

Master of Science
PhD Candidate @ Knowledge Representation

About

25
Publications
5,643
Reads
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32
Citations
Introduction
Academic/Research Interests: (1) Interdisciplinary Knowledge Organization, (2) Knowledge and Data Representation, Conceptual and Cognitive Modelling, (3) Philosophy of Mind, Language and Knowledge, (4) Integrating Knowledge Representation and Computer Vision, (5) Knowledge Management, (6) Logic, (7) AI Ethics, FATE, (8) Human Information Interaction
Education
May 2017 - May 2019
Indian Statistical Institute
Field of study
  • Library and Information Science
May 2014 - May 2017
University of Calcutta
Field of study
  • Mathematics
May 1998 - May 2014
Douglas Memorial Higher Secondary School
Field of study
  • Primary School, Middle School, Secondary and Senior Secondary.

Publications

Publications (25)
Preprint
Full-text available
One of the major barriers to the training of algorithms on knowledge graph schemas, such as vocabularies or ontologies, is the difficulty that scientists have in finding the best input resource to address the target prediction tasks. In addition to this, a key challenge is to determine how to manipulate (and embed) these data, which are often in th...
Preprint
Full-text available
Semantic Heterogeneity is conventionally understood as the existence of variance in the representation of a target reality when modelled, by independent parties, in different databases, schemas and/ or data. We argue that the mere encoding of variance, while being necessary, is not sufficient enough to deal with the problem of representational hete...
Article
Full-text available
Progress in education and research, which go hand in hand, are the two key variables to determine the societal impact and ensure the future sustainability of an academic discipline. Since the inception of Library and Information Science (LIS) as an accredited academic discipline, the Documentation Research and Training Centre (DRTC), Bangalore, has...
Preprint
Full-text available
Recent work in Machine Learning and Computer Vision has provided evidence of systematic design flaws in the development of major object recognition benchmark datasets. One such example is ImageNet, wherein, for several categories of images, there are incongruences between the objects they represent and the labels used to annotate them. The conseque...
Preprint
Full-text available
Ontological knowledge modelling of epics, though being an established research arena backed by concrete multilingual and multicultural works, still suffer from two key shortcomings. Firstly, all epic ontological models developed till date have been designed following ad-hoc methodologies, most often, combining existing general purpose ontology deve...
Preprint
Full-text available
We base our work on the teleosemantic modelling of concepts as abilities implementing the distinct functions of recognition and classification. Accordingly, we model two types of concepts - substance concepts suited for object recognition exploiting visual properties, and classification concepts suited for classification of substance concepts explo...
Article
Full-text available
Increasingly, it has been hard to ignore that standalone KOSs are becoming functionally ineffective components for knowledge-based AI systems, given their inability to capture the continuous facetization and drift of domains. The paper proposes a radical re-conceptualization of KOSs as a first step to solve such an inability, and proposes: (i) a fi...
Conference Paper
Full-text available
We assume that substances in the world are represented by two types of concepts, namely substance concepts, as originally introduced by Ruth Millikan, and classification concepts, the former instrumental to (visual) perception, the latter to (language based) classification. Based on this distinction, we introduce a general methodology for building...
Preprint
Full-text available
It is needless to mention the (already established) overarching importance of knowledge organization and its tried-and-tested high-quality schemes in knowledge-based Artificial Intelligence (AI) systems. But equally, it is also hard to ignore that, increasingly, standalone KOSs are becoming functionally ineffective components for such systems, give...
Preprint
Full-text available
We assume that substances in the world are represented by two types of concepts, namely substance concepts and classification concepts, the former instrumental to (visual) perception, the latter to (language based) classification. Based on this distinction, we introduce a general methodology for building lexico-semantic hierarchies of substance con...
Preprint
Full-text available
We propose a novel approach to the problem of semantic heterogeneity where data are organized into a set of stratified and independent representation layers, namely: conceptual(where a set of unique alinguistic identifiers are connected inside a graph codifying their meaning), language(where sets of synonyms, possibly from multiple languages, annot...
Preprint
Full-text available
It is a fact that, when developing a new application, it is virtually impossible to reuse, as-is, existing datasets. This difficulty is the cause of additional costs, with the further drawback that the resulting application will again be hardly reusable. It is a negative loop which consistently reinforces itself and for which there seems to be no w...
Article
Since time immemorial, organization and visualization has emerged as the pre-eminent natural combination through which abstract concepts in a domain can be understood, imbibed and communicated. In the present era of big data and information explosion, domains are becoming increasingly intricate and facetized, often leaving traditional approaches of...
Article
Full-text available
Conversational software, or chatbots in popular parlance, have been considered a potential game changer for people-centric institutions for some time now. In sync with the trend, various libraries and knowledge resource centres have also adopted chatbots within their technological fold, with an aim to provide improved services to patrons. The only...
Article
Conversational software, or chatbots in popular parlance, has been in vogue amongst organizations for a few decades now. In sync with the trend, various libraries and knowledge resource centres have also adopted them within their technological fold, with an aim to provide improved services to patrons. The only bottleneck towards such implementation...
Article
Full-text available
In the parlance of Library and Information Sciences, metadata refers to information dimensions which are created, stored and shared in order to understand the value and contextual relevance of an information resource. It is inspired from the very idea of cataloguing library resources that has been the bread and butter of librarians for centuries. W...
Thesis
Visualization has been deemed to be the best manifestation through which an abstract concept can be represented and communicated. In the present era of Big Data and Information Explosion, domains are becoming increasingly intricate and facetized, leaving traditional approaches of Knowledge Representation and Reasoning, and Knowledge Cartography fun...
Conference Paper
Human Computer Interaction (HCI) is an interdisciplinary field focused on the interactions between human users and computer systems, including the user interface and the underlying processes which produce the interactions. It is being increasingly considered as a serious and advanced research arena within the domain of Information Science, with unb...
Conference Paper
Visualization has been deemed to be the best manifestation through which an abstract concept can be represented and communicated. In the present era of Big Data and Information Explosion, domains are becoming increasingly intricate and facetized, leaving traditional approaches of Knowledge Cartography functionally inefficient in dynamically depicti...
Chapter
Full-text available
The intellection of smart cities as a specific concept is not very old. In simple terms, it refers to cities which are sustainable and driven predominantly by their Information and Communication Technology (ICT) infrastructure. Smart libraries and smart knowledge managers, alongside its other smart component-entities, are vital for their emergence,...
Preprint
Full-text available
The emergence of smart cities as a specific concept is not very old. In simple terms, it refers to cities which are sustainable and driven predominantly by their Information and Communication Technology (ICT) infrastructure. Smart libraries and smart knowledge managers, alongside its other smart component-entities, are vital for their emergence, su...
Experiment Findings
The paper reports a preliminary assessment of the impact of usage of social networking sites (social media) on student's attentiveness. The cohort comprises of undergraduate and postgraduate students from various courses offered by the Indian Statistical Institute, Bangalore, India.
Conference Paper
Full-text available
Open Science, in simple terms, refers to a movement that attempts to make the entire research cycle of a research pursuit, freely and openly available (the ingredients for an Open Future). The paper attempts a review of the various component-concepts in Open Science, deliberates on its various schools of thought, portrays its multifaceted character...

Projects

Project (1)
Project
It is needless to mention the (already established) overarching importance of knowledge organization and its tried-and-tested high-quality schemes in knowledge-based Artificial Intelligence (AI) systems. But equally, it is also hard to ignore that, increasingly, standalone KOSs are becoming functionally ineffective components for such systems, given their inability to capture the continuous facetization and drift of domains. The project proposes a radical re-conceptualization of KOSs as a first step to solve such an inability, and, accordingly, contributes in the form of the following dimensions: (i) an explicit characterization of Knowledge Organization Ecosystems (KOEs) (possibly for the first time) and their positioning as pivotal components in realizing sustainable knowledge-based AI solutions, (ii) as a consequence of such a novel characterization, a first examination and characterization of KOEs as Socio-Technical Systems (STSs), thus opening up an entirely new stream of research in knowledge-based AI, and (iii) motivating KOEs not to be mere STSs but STSs which are grounded in Ethics and Responsible Artificial Intelligence cardinals from their very genesis. The project, in a series of literature, grounds the above contributions in relevant research literature in a distributed interdisciplinary fashion.