Davy van deursen, erik mannens abstract this article discusses the application of semantic web technologies to the automatic metadata generation and annotation process for. Using semantic web technologies for the generation of domain templates to support clinical study meta data standards guoqian jiang1, julie evans2, cory m. In fact, the huge number of new emerging video surveillance data becomes a new application field of big data. In this course, you will learn the fundamentals of semantic web technologies. This is similar to what microformat do without referring to rdf, though. By using semantic rdf standards, instance data and meaning meta data travel together so that both humans and machines can. Semantic search and the semantic web the smart data. Jun 14, 2011 the big data and semantic web worlds seem to be disjunct. Sep 04, 2012 the what and why of semantic web technologies by lee. The international semantic web conference iswc is the premier international forum, for the semantic web community. Oct 06, 2014 use of semantic rdf standards to make the data selfdescribing.
Ios press on the use of semantic technologies for video analysis. Semantic web makes web content meaningful to computers and it intends to support machineprocessing capabilities. Enabling technologies for metadata although metadata is integral to the semantic web, metadata on its own is far from suf. The batch layer stores a copy of the master data set in raw format as data are ingested. The semantic web is an overhyped set of standards for linking data. For the semantic web, semantic indicates that the meaning of data on the web can be discovered not just by people, but also by computers. Compare the best free open source semantic web rdf, owl, etc. Chute1 1 department of health sciences research, mayo clinic college of medicine, rochester, mn. According to william ruh of cisco, before the end of 2004, rdf was applied under the covers of well over 100.
Focused on video surveillance and the usage of latent semantic analysis, the. The improved expressiveness shows advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The phrase the semantic web stands for a vision in which computers software s as well as people can find, read, understand, and use data over the world wide web to accomplish useful goals for users. The semantic web is not such a simple idea, but is instead a series of high marginal cost, frequently contestable ontologies and meta text markup. Introducing graph data what is linked data and the semantic web and what is all the hype about. Its goal is to enable efficient realtime data management and analysis by being divided into three layers. The ultimate goal of semantic technology is to help machines understand data. Use of semantic web technologies for meeting management. Semantic web technologies for video surveillance metadata such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality, and enhanced visual interfaces. Autoplay when autoplay is enabled, a suggested video will automatically play next. Semantic technologies offer a possible solution to this problem.
These technologies formally represent the meaning involved in information. Semantic web technologies for video surveillance metadata. In this paper, a semantic based cloud environment is proposed to facilitate the analyzing and searching process of surveillance video data. Introduction video analysis and video surveillance are active areas of research. Rdfxml,n3,turtle,ntriples notations such as rdf schema rdfs and the web ontology language owl all are intended to provide a formal. Its origins trace back to a 2001 scientific american article by tim bernerslee, better known as the inventor of the world wide web, and coauthors james hendler and ora lassila. A software reference architecture for semanticaware big. Besides dealing with the metadata interoperability problem, the advantages of using semantic web. Semantic technology uses formal semantics to give meaning to the disparate and raw data that surrounds us. The video surveillance data comes from the different devices such as traffic cameras, hotel cameras and so on. This layer also precomputes batch views that are provided to the serving layer. To enable the encoding of semantics with the data, wellknown technologies are rdf resource description framework and owl web ontology language. The principal technologies of the semantic web fit into a set of layered specifications.
Semantic web vs xml 20121128 data representation model graph xsd and xpath schema defined with rdfs or owl uri identifiers data serialization syntax tree xsd and xpath dtd or xml schema no builtin identifiers 41 semantic web rdf xml introduction to. Such systems typically consist of integrated modules of different vendors to cope with the increasing demands on network and storage capacity, intelligent video analytics, picture quality, and enhanced visual interfaces. The aim of the course is to make the students familiar with the semantic web, with technologies used on the semantic web, and with applications using semantic web. This dissertation investigates the application of semantic web technologies to the automatic metadata generation and annotation process for multimedia data. Tim bernerslee on the semantic web the inventor of the world wide web explains how the semantic web works and how it will transform how we use and understand data. It provides customers with the ability to build logical data models upon a highly scalable data infrastructure leveraging technologies like hadoop, spark, and kafka.
Using semantic web technologies for the generation of domain. The approach proposed in this paper uses the apache jena library to create an environment where semantic web technologies can be used in the statistical environment r. With semantic technologies, adding, changing and implementing new relationships or interconnecting programs in a different way can be just as. Objectives after completing this lesson, you will know. In other words, the resolution has farreaching effects beyond semantic data integration. This enables machines as well as people to understand, share and reason with them at execution time.
Semantic web technologies for video surveillance metadata video surveillance systems are growing in size and complexity. And unlike in the uml world, the schemamodel is not just used to. The semantic web is not a separate entity from the world wide web. With this purpose, the mdm contains all the metadata artifacts, represented by means of rdf ontologies leveraging the benefits provided by semantic web technologies, needed to deal with data governance and assist data exploitation. The tools either expose a graphical user interface e. Iswc 2018 the 17th international semantic web conference. Monitoring continuously captured surveillance videos is a.
Event detection, query, and retrieval for video surveillance. Corporate semantic web listed as major technology by gartner in 2006. Jan 16, 20 semantic web vs xml 20121128 data representation model graph xsd and xpath schema defined with rdfs or owl uri identifiers data serialization syntax tree xsd and xpath dtd or xml schema no builtin identifiers 41 semantic web rdf xml introduction to the semantic web. The semantic web is an extension of the traditional web in the sense that the information implicitly contained in natural language text is complemented by explicit semantics based on formal knowledge representation. A few attempts have been made to collect more meta data about the. In this paper, we introduce the application of semantic web technologies to deal with the abovementioned problems. Metadata storage, search and retrieval in surveillance video databases. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Semantic web tools semantic web and linked data research. Ios press on the use of semantic technologies for video. In essence, it marks a shift in thinking from publishing data in human. Publishing data using semantic web technologies an introduction for software engineers nikolaos konstantinou, ph.
Use of semantic rdf standards to make the data selfdescribing. The semantic web is a project that aims to change that by presenting web page data in such a way that it is understood by computers, enabling machines to do the searching, aggregating and combining of the webs information without a human operator. Semantic based representing and organizing surveillance. May 04, 2010 the semantic web is an overhyped set of standards for linking data. Use intelligent scrapers or wrappers to extract a structure hence rdf from a web page using conventions in, e. The primary key issue and main innovation of vsd is the integration of video understanding and semantic web technologies.
Existing hardware and software by themselves may not be able to process. It supports both inmemory and persistent storage rdf models, rdf data query language rdql, integrated rdf parsers i. Semantic technology, together with linked data technology, as envisioned by the inventor of the world wide web, sir tim bernerslee, builds relationships between data in various formats and sources, from one string to another, helping build context and creating links out of. This knowledge model comprises an ontology and a set of semantic rules, and is built by a human ontology engineer. Cross document coreference organizations want to be able to identify variations of the same objects from different formats textual documents, web pages, database records, ontologies and more. The semantic technology conference series also attract lots of participants speakers in 2006. We list below the main artifacts and refer the interested reader to, for further details. Semantic web enabled software engineering presents some critical findings on opening a new direction of the research of software engineering, by exploiting semantic web technologies. Besides dealing with the metadata interoperability problem, the advantages of using semantic web technologies and the inherent rule support are shown. May 16, 2014 in this paper, a semantic based cloud environment is proposed to facilitate the analyzing and searching process of surveillance video data. Metadata storage, search and retrieval in surveillance video. Tutorial on semantic web technologies world wide web. Semantic technology, together with linked data technology, as envisioned by the inventor of the world wide web, sir tim bernerslee, builds relationships between data in various formats and sources, from one string to another, helping build context and creating links out of these.
In this way, globally interoperable metadata about abnormal crowd behaviours are generated. The term semantic web also known as the linked data web, web of data, or web 3. Jena is a functionally rich java api for processing rdf data. The current components are the resource description framework rdf. In this paper, we introduce the application of semantic web technologies to overcome such problems. Metadata is defined as the data providing information about one or more aspects of the data. We have also surveyed popular software tools for cnn in the recent years. Ontology driven architectures and potential uses of the semantic. In all of them, the video data set was processed using the wise eye software. Semantic based representing and organizing surveillance big. There are two sources in which video metadata is derived. Semantic enhanced cloud environment for surveillance data. Semantic web technology an overview sciencedirect topics. Although the meta prefix from the greek preposition and prefix.
Metadata and semantics for information search, integration and analysis. Most of these findings are from selected papers from the semantic web enabled software engineering swese series of workshops starting from 2005. Pdf use of semantic web technologies for meeting management. Semantic web technology stack the semantic web has been described the. Provides a comprehensive exposition of the stateofthe art in semantic web research and key technologies. Sir tims brilliant idea with the web was to create a single simple protocol for accessing a number of disparate kinds of data. The processing and analysing video surveillance data follow the 4 v feature of big data. Further chapters examine how semantic web technology is being applied in knowledge management semantic information access and in the next generation of web services. That semantic web technologies and semantic technologiesboth start with semantic is often a source of confusion. Biological data integration using semantic web technologies. It describes the architecture of a generic semantic problem solving platform that. Application of semantic web technologies for semiautomatic metadata generation for multimedia data ruben verborgh supervisors. On quora, gerald mccollum asked if big data and the semantic web were indifferent to each other, as there was little discussion of the semantic web topic at strata this february my answer in brief is. Of course, we already use software to accomplish things on the web, but the distinction lies in the words we use.
We present a semantic, layered metadata model and integrate it within a video surveillance system. A semantic autonomous video surveillance system for dense. The third common use of the term semantic web is to identify a set of technologies, tools and standards which form the basic building blocks of a system that could support the vision of a web. They use semantic web technologies to improve video retrieval for. Yet big data is poised to light the fire beneath the longheld dreams of the semantic web, and the semantic web will enable data scientists to describe, organize and reason about their results. Rdfs as an effort for the standardization of metadata, the resource.
The term semantic web was coined by tim bernerslee, the inventor of the world wide web and director of the world wide web consortium w3c, which oversees the development of proposed semantic web standards. Semantic search and the semantic web introduction while semantic web and semantic search are not the same thing, the two concepts are often confused. A web application that is based on the use of linked data resources to generate web pages, so it takes as input an article written by a journalist for example, and the output is a web page containing relevant information extracted from the original article and related content from the linked data cloud. This lesson will briefly define semantic web and semantic search and then explain how the two may be used together. Accessing biological data in r with semantic web technologies. With the help of vsd, the simple data acquisition mode of video surveillance system can be transferred to integration mode of data acquisition, content processing, and semantic information services. Use of semantic web technologies for meeting management software development. Software downloads from the largest open source applications and software directory.
Semantic technologies for data analysis in health care. Semantic data integration integrating heterogeneous. Nov 26, 2012 the term semantic web also known as the linked data web, web of data, or web 3. Semantic web enabled software engineering studies on the. Using semantic web technologies for the generation of. A software reference architecture for semanticaware big data.
Prospects for the semantic web pew research center. It is based on the jena semantic web toolkit, the arp rdf parser and the berkeleydb database management system. Therefore, support in the exchange of data, information, and knowledge is becoming. The site provides a list of metadata assessment tools, and a collection of application profiles. Sep 14, 2010 in this paper, we introduce the application of semantic web technologies to overcome such problems. The semantic analyzer module employs a semantic knowledge model which represents the considered surveillance domain. Semantic web technologies a set of technologies and frameworks that enable the web of data.
To enable the encoding of semantics with the data, technologies such as resource description framework rdf and web ontology language owl are used. The piece projected a futuristic web where a common. Semantic web technologies such as ontologies and metadata can support the search activity by. The what and why of semantic web technologies by lee. Lecture outline introduction to the semantic web semantic web languages publishing rdf using openlinks virtuoso linked open data and examplesnovember 9, 2011 national.
The software solution eccenca corporate memory offers knits through big data cataloging and semantic data integration serving as foundation for analytics and bi. The goal of the semantic web is to make internet data machinereadable. Introduction to the semantic web linkedin slideshare. Rdf can be used to integrate data from heterogeneous sources, ontologies can provide.
Chute1 1 department of health sciences research, mayo clinic college of medicine, rochester, mn jiang. The extension of both the static and the dynamic part of the current web is called the semantic web. Semantic web seminar report and ppt for cse students. The third common use of the term semantic web is to identify a set of technologies, tools and standards which form the basic building blocks of a system that could support the vision of. These semantic technologies have been developed to overcome the. In software, semantic technology encodes meanings separately from data and content files, and separately from application code. Semantic technologies compared the smart data company. Application of semantic web technologies for semiautomatic. Needed are standards to syntactically encode and represent semantic knowledge so. The semantic web is an extension of the world wide web through standards set by the world wide web consortium w3c. An architecture integrating ontology building, semantic annotation, and semantic search is proposed to leverage the semantic description of the video data to find them from conceptbased level. The best solution is to create a single data view where. A novel framework and conceptbased semantic search interface for. Semantic web technologies and data management li ma, jing mei, yue pan krishna kulkarni achille fokoue, anand ranganathan ibm china research laboratory ibm software group ibm watson research center bei jing 94, china san jose, ca 951411003, usa new york 10598, usa introduction.
Resource description framework rdf a variety of data interchange formats e. Iswc 2018 in monterey, ca usa will bring together researchers, practitioners and industry specialists to discuss, advance, and shape the future of semantic technologies. Aug 17, 2015 semantic web makes web content meaningful to computers and it intends to support machineprocessing capabilities. He defines the semantic web as a web of data that can be processed directly and indirectly by machines.
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