Semantic Web

Mapping of Semantic Web Ontology in User Query System Rupali khune Department of Computer Engineering, MMCOE Pune, University of Pune, India rupalikhune@mmcoe.edu.in ABSTRACT The vision of the Semantic Web promises a kind Machine Intelligence, which can support a verity of user tasks like improved search engine or Question Answering (QA). Ontologies are needed for realization of the semantic web, which in turn depends on the ability of system to identify and take advantage of relationships

sticking to the Semantic Web. We should first wait until the Semantic Web is completed before we jump to the next thing on the list. (Aghaei, Nematbakhsh and Farsani) (Frauenfelder) The million dollar question is: what is the Semantic Web? The Semantic Web is not a completely new web that is going to replace the current web, it is simply and extension from the present web. The idea of Web 3.0 is for the information in the web to be understood and recognized by the computer. Today the web is a big global

Summary: The paper Semantic Web talks about how the machine can be more intelligent when accessing web data. It involves making a machine understand the semantics of the data present on the web and also making them understand the human perspective. The research first tries the basic requirement outlines for the semantic web. Like the creation of ontologies and different relationship using which a machine can learn the context. The paper then discusses the creation of agents which takes advantage

the architectural concepts put forth by the scholars in semantic search and the prime concern of the paper; how the semantic searching process will help in augmenting the result of web search. Further, the paper will also put light on a proposal to build a semantic search based on previous keyword search engine but with the added capability of Natural Language Processing. 3. SEMANTIC SEARCH TECHNIQUES This section describes different semantic methodologies being forwarded by the scholars. Currently

The emergence of the World Wide Web (WWW) has brought exciting new possibilities in information access and electronic business. The WWW has grown to be the largest distributed repository of information ever created. Current estimates reveal that the Web currently contains about 3 billion static documents and being accessed by over 500 million users from around the world [6]. Web content consists largely of distributed hypertext and hypermedia, accessible via keyword-based search and link navigation

phenomenon. • Inference: - It is defined as producing new data from existing one or to reach some conclusion. E.g.: Adios is a French word which is replaced by Good bye that is understandable by user. Figure3:“SW Architecture” 3.3 Semantic Web Technologies SW technologies are listed below:-  XML: - XML is extensible language that allows users to create their own tags to documents. It provides syntax for content structure within documents. XML Schema: - It is language for defining XML

Using ontologies to enrich the semantics of data for queries and interoperability is becoming increasingly important, but there is a lack of tools to ease the integration and use of ontologies in databases using standard query languages or query interfaces. ONTOBIO integrates the two schemes by Bio medical concepts using a set of semantic rules. We have applied our method to a knowledge base of autism phenotype definitions, which are modeled using the web ontology language, and its rule language

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Although crowdsourcing has been successfully applied in many fields in the past decades, challenges still exist especially in task/workflow design and quality assessment. We take a deeper look at crowdsourcing classification tasks, and explore how task and workflow design can impact the answer quality. Our research is intended to use large knowledge base and citizen science projects as examples and investigate the workflow design considerations and its impact on worker performance as well as overall

retrieves triples using semantic queries. Triples store data and are imported and exported using the Resource Description Framework (RDF). A triple is a data entity comprising three components a subject, predicate and object that describe a set of data such as “We have shoes”. The subject is “We”, the predicate is “have” and the object is “shoes”. Triples provide an easy and flexible way of modeling data that is similar to how the human brain functions. Triples have a semantic structure that can easily