Search on the semantic web

https://www.ijrrjournal.com/IJRR_Vol.6_Issue.10_Oct2019/Abstract_IJRR0012.html, 2019

Semantic Search is a search technique that improves searching precision by understanding the purpose of the search and the contextual significance of words as they appear in the searchable data space, whether on the web to generate more relevant result. We highlight here about Semantic Search, Semantic Web and discuss about different type of Semantic search engine and differences between keyword base search and Semantic Search and the advantage of Semantic Search. We also give a brief overview of the history of semantic search and its feature scope in the world.

International Journal of Information Technology and Computer Science, 2016

Past few decades have witnessed an informat ion big bang in the form of World Wide Web leading to gigantic repository of heterogeneous data. A humble journey that started with the network connection between few co mputers at ARPANET p roject has reached to a level wherein almost all the co mputers and other communication devices of the world have joined together to form a huge global in formation network that makes availab le most of the information related to every possible heterogeneous domain. Not only the managing and indexing of th is repository is a big concern but to provide a quick answer to the user's query is also of critical importance. A mazingly, rather miraculously, the task is being done quite efficiently by the current web search engines. This miracle has been possible due to a series of mathematical and technological innovations continuously being carried out in the area of search techniques. This paper takes an overview of search engine evolution from primitive to the present.

2001

ABSTRACT Search engines, directories and web browsers all deal with the Internet at the level of individual web-pages. We argue that this is too low a level of resolution for many, including the non-casual surfer, who has detailed knowledge of his/her topic of interest. We present the shopping-mall metaphor that is based on identifying tightly integrated communities of web pages, where pages procure information from each other via hyperlinks.

1997

With the explosive growth of the Web, one of the biggest challenges in exploiting the wealth of available information is to locate the relevant documents. Search engines play a crucial role in addressing this problem by precompiling a large index of available information to quickly produce a set of possibly relevant documents in response to a query. While most Web users make extensive use of the Internet search engines, few people have more than a vague idea of how these systems work.

The Semantic Web is an extension of the current web in which information is given well-defined meaning.The perspective of Semantic Web is to promote the quality and intelligence of the current web by changing its contents into machine understandable form. Therefore, semantic level information is one of the cornerstones of the Semantic Web. The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The amount of information grows billions of databases. We need to search the information will specialized tools known as generically available search engines. There are many of search engines available today, retrieving meaningfull information is difficult. However to overcome this problem in search engines to retrieve meaningful information intelligently based upon the user requirements semantic web technologies are playing a crucial role. semantic web is working to create machine readable data. Semantic search has the power to enhance traditional web search, but it will not replace it. Semantic web information is described using RDF(S), OWL, XML In this paper we present survey on the search engine generations and the role of search engines in intelligent web and semantic search engine technologies and paper we present the role of semantic web search engines and describes different technologies in semantic search engines and also deals with analysis and comparison of various semantic web search engines based on various parameter to find out their advantages and limitations. Based on the analysis of different search engines, a comparative study is done to identify relative strengths in semantic web search engines.

2015

As the amount of data in the World Wide Web grows, the Internet becomes the biggest and often the primary information resource for many individuals and organizations. To make good use of the data, it is essential to provide effective and intelligent search capabilities. The users more and more often require direct and unambiguous answers, which are often not explicitly present in any document. The Web users also are not willing to learn complex query languages and need interfaces that will be easy to use and as close as possible to natural language. The aim of this paper is to illustrate the advantages that semantics brings to the users of contemporary Web search engines. The concepts of semantic Web and semantic search engines have been described along with some issues related to their development and usage, such as linked data, semantic query interfaces and the ways of publishing semantic data. The authors also explore the semantic features of contemporary search engines and indic...

International Journal of Computer Applications, 2015

Current World Wide Web also recognized as Web 2.0 is an immense library of interlinked documents that are transferred by computers and presented to people. Search engine is considered the most important tool to discover any information from WWW. Inspite of having lots of development and novel research in current search engines techniques, they are still syntactic in nature and display search results on the basis of keyword matching without understanding the meaning of query, resulting in the production of list of WebPages containing a large number of irrelevant documents as an output. Semantic Web (Web 3.0), the next version of World Wide Web is being developed with the aim to reduce the problem faced in Web 2.0 by representing data in structured form and to discover such data from Semantic Web, Semantic Search Engines (SSE) are being developed in many domains. This paper provides a survey on some of the prevalent SSEs focusing on their architecture; and presents a comparative study on the basis of technique they follow for crawling, reasoning, indexing, ranking etc.

The promise of semantic technology presents a better search scenario than traditional/keyword based search engines for applications and knowledge discovery. As the society is transforming into knowledge society, the power of information is increasingly becoming crucial for decision making process and business solutions. Thus, semantic technology is applied to enhance the visibility of content created in different form and publishing them, data coupling through semantic links, forming communities, provenance of concepts and validation, disambiguation and authentication of terms with semantic etc. Feature based analysis has been done with examples on two different semantic web search engines.

The Semantic Technologies for Archaeological Resources (STAR) project has been exploring the development of new tools and technologies for "semantic web" based research. The project builds upon the ontological modelling approach taken by English Heritage staff, in recent years, to modelling their information and data using the CIDOC-CRM standard (ISO 21127:2006). The ontological modelling has enabled the EH archaeological teams to more explicitly identify where 'information gaps' exist within their existing information records and flow lines, which can then be bridged using an ontological information model. The data involved can be derived from legacy datasets, current databases, and hopefully will enable incorporation of a mapping to data yet to be recorded in a newly implemented archaeological recording system. The aim is to provide a model for how new systems and technologies can be developed that enable greater interoperability and better integration of data in the rather disparate archipelago of archaeological project information. This paper will also discuss the emerging use of the Simple Knowledge Organization System (SKOS) data model as a W3 standard for sharing and linking knowledge organization systems via the Semantic Web. The STAR SKOS web services currently provide term look up across the thesauri held in the system (including the EH Monuments Thesaurus and the former MDA Objects Thesauri), along with browsing and semantic concept expansion within a chosen thesaurus. Users may browse a concept space to explore and become familiar with specialist terminology or as part of a broader application. In combination with a search system, the services allow queries to be expanded (automatically or interactively) by synonyms or by expansion over the SKOS semantic relationships. Expansion is based on a measure of 'semantic closeness'. The paper will also introduce a new prototype CRM Browser web service developed by the STAR project and explore ideas for how this prototype browser might be developed further in the future to enable linked searching across and between free text reports and structured data in databases, using emerging forms of semantic query languages and interfaces and what such "Semantic Browsing" might look like for end users.