Bøger af Nidhi Srivastava

Chenopodium album L., communément appelé "Bathua", est considéré comme une mauvaise herbe et est largement cultivé et consommé dans le nord de l'Inde comme culture vivrière, car il est riche en protéines, vitamines et minéraux. Les métabolites secondaires isolés de cette herbe ont montré un grand potentiel dans diverses activités pharmacologiques telles que l'activité antimicrobienne et anticancéreuse. Les métabolites secondaires isolés de cette plante ont également montré une activité contre les microbes responsables de l'acné.

Chenopodium album L. commonly known as 'Bathua' has been considered as a weed and extensively cultivated and consumed in Northern India as a food crop as it has been rich in protein, vitamins and minerals. Secondary metabolites isolated form this weed showed great potential in various pharmacological activities such as anti-microbial and anti-cancerous activity. The secondary metabolites isolated from this weed also showed activity against acne causing microbes.

This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments. Taking into account the way that IoT ecosystems are realized, several challenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that will enable analysis across (systematically growing) ecosystems? (ii) How to build ecosystems based on data flows? (iii) How to track data provenance? (iv) How to ensure/manage trust? (v) How to search for things/data within ecosystems? (vi) How to store data and assure its quality?Semantic technologies are often considered among the possible ways of addressing these (and other, related) questions. More precisely, in academic research and in industrial practice, semantic technologies materialize in the following contexts (this list is, also, not exhaustive, but indicates the breadth of scope of semantic technology usability): (i) representation of artefacts in IoT ecosystems and IoT networks, (ii) providing interoperability between heterogeneous IoT artefacts, (ii) representation of provenance information, enabling provenance tracking, trust establishment, and quality assessment, (iv) semantic search, enabling flexible access to data originating in different places across the ecosystem, (v) flexible storage of heterogeneous data. Finally, Semantic Web, Web of Things, and Linked Open Data are architectural paradigms, with which the aforementioned solutions are to be integrated, to provide production-ready deployments.