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.

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.

Herbal drugs are essential components of traditional medicine in several countries viz. India and China, where ancient civilization was flourished heritage. India has a well-established system of medicine known as Ayurveda. Ayurveda utilizes plants, animal and minerals for the welfare of human beings. Ayurvedic approach is mostly focused on longevity to keep person healthy rather than cure. Therefore large number of ayurvedic formulation s are based on plants. Now-a-days plants are being explored for number of purposed i.e. energy to medicine. Despite their popularity, there is paucity on the information their availability in the plants, variation within plants, assay procedures and rapid screening techniques. In this book we have tried to deal these issues. 101 indigenous medicinal plants were selected to study their efficient role as antioxidant. The DPPH assay was applied for evaluation. Two mathematical models. Viz. Non-linear regression (3rd degree polynomial) and Sigmoidal dose-response (variable slope) fit, to compute the result. The variation due to selection of model was discussed. FTIR and HPLC fingerprinting of selected plants was also presented.

It is an inspirational love story set in contemporary (1970-2025) UK, India and US and showcasing merits and demerits of the East and West and how important it is for the marriage of ideas from both the cultures for better understanding of the world and for peace all around in these tumultuous times. I have tried to convey the love story of India and US through my protagonists Sam and Bharti.I have traced their life from childhood trying to show the difference of culture and thought process in US and India and how both are important to each other. Why and how they are moving towards AN ARRANGED MARRIAGE in recent times.
Along with the wider aspect of dealing with the two different cultures, countries and way of life, my book deals with very subtle human emotions, family values, and dilemma in making decisions in our lives as we face daily. It is also a story of man as the greatest creation of God and what is his real purpose on earth.
It is a must read for people wanting to read a story which would touch their conscience.