Publications | John Breslin. I have 149 peer-reviewed publications with 3491 citations. My top cited publications are: "Towards Semantically-Interlinked Online Communities" (cited by 238); "The Future of Social Networks on the Internet: The Need for Semantics" (cited by 215); "Optimizing the AC Resistance of Multilayer Transformer Windings with Arbitrary Current Waveforms" (cited by 201); "Optimized Transformer Design: Inclusive of High Frequency Effects" (cited by 171); "The Social Semantic Web" (cited by 159); "Online Social and Business Networking Communities" (cited by 154). According to my Google Scholar Citations page, my h-index is 30. Books (2) T. Omitola, S.A. Edited Books (1) , "Recent Trends and Developments in Social Software", J.G. Book Chapters (15) T.A. Journal Papers (22) O. Technical Magazines (5) J.G. Conference Papers (62) M. Workshop Papers (24) O. Poster Papers (12) L. Demonstration Papers (6) O.
Position Papers (5) A. Specifications (5) D. Technical Reports (5) J.G. Monographs (1) J.G. RDF Mapping API. Last updated March 13, 2011. Created on November 3, 2009.Edited by linclark, scor, Dave Reid. Log in to edit this page. The RDF Mapping API allows you to expose your site's data for easy re-use by mapping bundles to RDF types and fields to RDF predicates. This abstract mapping can then be used to publish the content contained in these bundles, enabling you to serialize the RDF into a number of different formats, such as RDFa, RDF/XML, or populate a SPARQL endpoint.
For an introduction to RDF, some use cases, and an overview of its use in Drupal, see the documentation in the Site Building section. Looking for support? Drupal + RDF | Semantic Drupal. Www.johnbreslin.org/files/publications/20080513_is__2008.pdf. Fulltext. Publications and Presentations. Enhancing documents with annotations and machine-readable structured information using Notate.
Summary Textensor Limited is developing tools for improving the communication and exploitation of text based information. Our main product, Notate, is a web based system that enables authors and readers to layer structured annotations on top of documents so that the resulting combination can be reliably processed automatically while maintaining the integrity of the original source and the provenance of all annotations.
The system has a wide variety of applications including attaching sticky notes and discussions to web pages, sharing documents and notes within a small group, on-line document review and sophisticated data curation tasks. It aims to bring the authoring of semantically rich structures within the capabilities of normal users, making it dramatically easier to produce well-structured content and opening up possibilities for further automated processes such as creating indexes to the research literature and curating more high-quality information into databases.
Origins 2. Semantify - Automate Your Semantic Web SEO in Five Minutes. The timing couldn't be better for the release of Semantify, a new service from Israel/San Francisco's Dapper.net. One week after Yahoo! Announced that it will begin indexing the semantic markup and meaning of content on the web, Semantify offers a remarkably simple way to get your website marked up semantically.
Automatically, forever. Once you learn how to use Dapper's basic interface, it can take less than five minutes to set up the Semantify service. Hello SEO, 3.0. Just a Few Steps Here's what it takes: 1. 2. 3. 4. And then you're done. Dapper GUI + Semantic Web vocab list + PHP embed code = automated Semantic Web markup for your site. It's The Early Days It's as simple as that, or at least it will be once all the little kinks are worked out.
You can go through those steps above today, I have, and whenever the Yahoo! Historical Context Many people have questioned the viability of the Semantic Web vision, asking who will do the markup. The Semantic Web could change the world. Web 3.0: When Web Sites Become Web Services. Today's Web has terabytes of information available to humans, but hidden from computers. It is a paradox that information is stuck inside HTML pages, formatted in esoteric ways that are difficult for machines to process. The so called Web 3.0, which is likely to be a pre-cursor of the real semantic web, is going to change this. What we mean by 'Web 3.0' is that major web sites are going to be transformed into web services - and will effectively expose their information to the world. The transformation will happen in one of two ways. Some web sites will follow the example of Amazon, del.icio.us and Flickr and will offer their information via a REST API.
Others will try to keep their information proprietary, but it will be opened via mashups created using services like Dapper, Teqlo and Yahoo! Pipes. The Amazon E-Commerce API - open access to Amazon's catalog We have written here before about Amazon's visionary WebOS strategy. Why has Amazon offered this service completely free? Conclusion. Semantic Web Patterns: A Guide to Semantic Technologies. In this article, we'll analyze the trends and technologies that power the Semantic Web. We'll identify patterns that are beginning to emerge, classify the different trends, and peak into what the future holds. In a recent interview Tim Berners-Lee pointed out that the infrastructure to power the Semantic Web is already here.
ReadWriteWeb's founder, Richard MacManus, even picked it to be the number one trend in 2008. And rightly so. Not only are the bits of infrastructure now in place, but we are also seeing startups and larger corporations working hard to deliver end user value on top of this sophisticated set of technologies. The Semantic Web means many things to different people, because there are a lot of pieces to it.
The disagreement is not accidental, because the technology and concepts are broad. 1. We have written a lot about the different approaches to the Semantic Web - the classic bottom-up approach and the new top-down one. 2. 3. 4. 5. 6. 7. Conclusion. Tools. This page gives an overview of software tools related to the Semantic Web or to semantic technologies in general. Due to the large amount of tools being created in the community, this site is always somewhat outdated.
Contributions and updates are welcomed. See also: Tool Chains Adding your own Adding your own tool is as easy as creating a page. The easiest way is to copy the page of some existing tool and modify it to fit your case. Do not forget to use a suitable category to classify the tool, otherwise it will not appear below. If your tool is an OWL 2 implementation or a RIF implementation not yet listed here, please consider to add it.
Current tools on semanticweb.org.edu The following tools are currently recorded in this wiki. RDF2Go (Version 4.8.3, 4 June 2013) Bigdata (Version 1.2.3, 31 May 2013) Semantic Measures Library (Version 0.0.5, 4 April 2013) HermiT (Version 1.3.7, 25 March 2013) Fluent Editor (Version 2.2.2, 20 March 2013) Facebook Open Graph: The Definitive Guide For Publishers, Users and Competitors. Facebook just shook the tech world by announcing several major initiatives that collectively constitute an aggressive move to weave the social net on top of the existing Web.The rumors were that the leading social network would launch a "Like" button for the entire Web. Instead, Zuckerberg & Co. unveiled a bold and visionary new platform that cannot be ignored.
The bits of this platform bring together the visions of a social, personalized and semantic Web that have been discussed since del.icio.us pioneered Web 2.0 back in 2004. Facebook's vision is both minimalistic and encompassing - but its ambition is to kill off its competition and use 500 million users to take over entire Web. Whether we like it (pun intended) or not, we have to understand what this move means. It impacts users, publishers, competitors and, of course, Facebook itself. In this post, we summarize what Facebook announced and ponder the impact this will have on everyone.
Facebook Open Graph: Publisher Plugins Checkmate? Facebook's Graph API: The Future Of Semantic Web? “There are two important themes behind everything we're delivering today.” says Bret Taylor, head of Facebook’s platform products in the facebook developer blog, about the recent announcements at the f8 conference in San Francisco. Facebook introduced Open Graph protocol, and the Graph API as the next evolution in the Facebook platform. First, the Web is moving to a model based on the connections between people and all the things they care about.
Second, this connections-based Web is well on its way to being built and providing value to both users and developers — the underlying graph of connections just needs to be mapped in a way that makes it easy to use and interoperable. Facebook introduced three new components of Facebook Platform two of which the Open Graph protocol, and the Graph API. Excerpted from the Graph API page are some examples of URI’s for accessing facebook obects (resources) using their identifiers. At a high level they demonstrate how one would use the API. Assets.en.oreilly.com/1/event/27/Learn to use Semantic Technologies using Open Source Tools Paper.pdf. Rdf - open source semantic web project. Home · semsol/arc2 Wiki. Semantic reasoner - eNotes.com Reference. Linked services. 越来越多的公司从 MyISAM 移植到 InnoDB. C ACL System. Abstract The HTTP protocol is a network resource access protocol that leaves user authentication and access validation entirely up to the server.
There is no guarantee that authentication realms are related to directory or even consistent over time. The World Wide Web Consortium site takes advantage of this flexibility with a dynamic, file-level access control system. This document describes the ACL storage and query mechanisms used by W3C, as well as the availability and use of this data on the semantic web. Status of this Document This document is a description of the W3C ACL system, but does not consitute an endorsement or recommendation of any sort.
The document will likely be subject to editorial and structural changes, though reasonable effort will be made to preserve anchor tags within the document. The exact revision of document may be identified by the CVS version $Revision: 1.30 $. Table Of Contents Goals Structure An access system may be divided into: Identity Management uris acls The ? Annotea project. RDF SQL HOWTO. This document describes how to set up a MySQL datastore as part of installing a W3C-Perllib Annotation server. 1. General The RDF persistent database uses an SQL store. The code has been tested with MySQL.
It is likely the code will work with other SQL databases. Please drop a line to the list if you set it up with another database. 2. MySQL is available via HTTP from MySQL.com. 3. The MySQL documentation describes the MySQL authentication scheme. Mysql -u root mysql INSERT INTO user (Host,User,Password,Select_priv,Insert_priv,Update_priv,Delete_priv,Create_priv,Drop_priv,Reload_priv,Shutdown_priv,Process_priv,File_priv,Grant_priv,References_priv,Index_priv,Alter_priv) VALUES ('%','AnnotateUser',password('AnnotatePassword'),'Y','Y','Y','Y','N','N','N','N','N','N','N','N','N','N'); 4.
The Perllib Rdf bin directory (W3C/Rdf/bin) contains a shell script to tell MySQL how to create the Rdf database. mysql <W3C/Rdf/bin/RdfObjects.mysql 5. 语义网. 1概念编辑 语义网的概念是由万维网联盟的蒂姆·伯纳斯-李（Tim Berners-Lee）在1998年提出的一个概念，实际上是基于很多现有技术的，也依赖于后来和text-and-markup与知识表现的综合。 其渊源甚至可以追溯到20世纪60年代末期的Collins、Quillian、Loftus等人的研究，还有之后70年代初R.F.Simon、R.C.Schamk、Minsky等人陆续提出的一些理论上的成果。 其中Simon在进行自然语言理解的应用研究时提出了语义网络Semantic Network（不是现在的Semantic Web）的概念。 当时人们甚至发明了以逻辑为基础的程序设计语言Prolog。 蒂姆·伯纳斯-李在2006年普林斯顿大学演讲和后期接受媒体采访时公开表示，他最初将这种智能网络命名为语义网或许不够贴切，也许更准确的名称应该是数据网（外语：Data Web）。 语义网就是能够根据语义进行判断的智能网络，实现人与电脑之间的无障碍沟通。 它好比一个巨型的大脑，智能化程度极高，协调能力非常强大。 语义网的建立极大地涉及了人工智能领域的部分，与web 3.0智能网络的理念不谋而合，因此语义网的初步实现也作为web 3.0的重要特征之一，但是想要实现成为网络上的超级大脑，需要长期的研究，这意味着语义网的相关实现会占据网络发展进程的重要部分，并且延续于数个网络时代，逐渐转化成“智能网”。 2基本特征编辑 类似于Web 2.0以AJAX概念为契机，如果说web 3.0以语义网概念为契机的话，同样会有近似于AJAX的一种技术，成为网络的标准、置标语言或者相关的处理工具，用来扩展万维网，开创语义网时代。
语义网不同于现在WWW，现有的WWW是面向文档而语义网则面向文档所表示的数据，而语义网更重视于计算机“理解与处理”，并且具有一定的判断、推理能力。 3区别编辑 如何理解与判断？ 语义网“不同于现存的万维网，其数据主要供人类使用，新一代WWW中将提供也能为计算机所处理的数据，这将使得大量的智能服务成为可能”；语义网研究活动的目标是“开发一系列计算机可理解和处理的表达语义信息的语言和技术，以支持网络环境下广泛有效的自动推理”。 目前我们所使用的万维网，实际上是一个存储和共享图像、文本的媒介，电脑所能看到的只是一堆文字或图像，对其内容无法进行识别。 一、面向的对象不同 二、信息组织方式不同 三、侧重点不同. 语义网研究进展1207. 语义网简介. Architecture is Destiny: Why the Revolution in Business Interaction... Semantic Web, e-commerce. Semantic Technology: The Basics. Semantic Technologies: Representing Semantic Data. A Semantic Data Model for Web Applications. Publishing data on the Semantic Web. Semantic Annotation for Process Models. Process. Knowledge Sharing, Coordinated Exception Handling, and Intelligent Problem Solving for Cross-Organizational Business Processes ZongWei Luo January 19, 2001 Major advisor: Committee members: Invited committee member: METEOR ORBWORK Workflow Management System Until several years ago, electronic trading was primarily involved with expensive and specialized processes.
{*style:<b> Business processes </b>*} The hyper-growth of Internet commerce affect businesses by making trading processes more efficient and less expensive. Figure 1.1 A Cross-organizational workflow: telecommunication bandwidth outsourcing The telecommunication business sector is one of the important fields for studying cross-organizational business processes. An example of such cross-organizational processes in telecommunication sector is shown in Figure 1.1. Figure 1.2 A cross-organization workflow: customer connection request process Targeted problems A contract cannot be fulfilled. A contract may be compromised. Problems Specification. Www.ibm.com/developerworks/library/wa-rdfalite/wa-rdfalite-pdf.pdf. C RDB2RDF Incubator Group Report. The RDB2RDF XG recommends that the W3C initiate a Working Group (WG) to standardize a language for mapping Relational Database schemas into RDF and OWL.
Such a standard will enable the vast amounts of data stored in Relational databases to be published easily and conveniently on the Web. It will also facilitate integrating data from separate Relational databases and adding semantics to Relational data. This recommendation is based on the a survey of the State Of the Art conducted by the XG [StateOfArt] as well as the usecases discussed below.
The mapping language defined by the WG would facilitate the development of several types of products. It could be used to translate Relational data into RDF which could be stored in a triple store. This is sometimes called Extract-Transform-Load (ETL). The mapping language should be complete regarding when compared to to the relational algebra.
It should be possible to subset the language for simple applications such as Web 2.0. 1.1 Usecases. Image Annotation on the Semantic Web. W3C Incubator Group Report 14 August 2007 This version: Latest version: Previous version: Editors: Raphaël Troncy, Center for Mathematics and Computer Science (CWI Amsterdam) Jacco van Ossenbruggen, Center for Mathematics and Computer Science (CWI Amsterdam) Jeff Z. Giorgos Stamou, IVML, National Technical University of Athens Contributors: Christian Halaschek-Wiener, University of Maryland Nikolaos Simou, IVML, National Technical University of Athens Vassilis Tzouvaras, IVML, National Technical University of Athens Also see Acknowledgements. Copyright © 2007 W3C® (MIT, ERCIM, Keio), All Rights Reserved.
Abstract Many applications that process multimedia assets make use of some form of metadata that describe the multimedia content. Status of this document Document Roadmap Target Audience Objectives 1. 1.1. 1.2. 1.3. Multimedia Vocabularies on the Semantic Web. Product Modelling using Semantic Web Technologies.