|
Personal Data Service
Personal data services or personal datastores (PDS) are services to let an individual store, manage and deploy their key personal data in a highly secure and structured way. They give the user a central point of control for their personal information (e.g. interests, contact information, affiliations, preferences, friends). The user's data attributes being managed by the service may be stored in a co-located repository, or they may be stored in multiple external distributed repositories, or a combination of both. Attributes from a PDS may be accessed via an API. Users of the same PDS instance may be allowed to selectively share sets of attributes with other users. A data ecosystem is developing where such sharing among projects or "operators" may become practicable. Open Source Projects Cloud-only Note: Cloud-based PDSes are sometimes called personal data clouds or personal clouds. (HAT) Hub-of-All-ThingsPersonium.io- open-source personal datastore SOLID Project- SOLID (Social Link ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
WebDav
WebDAV (Web Distributed Authoring and Versioning) is a set of extensions to the Hypertext Transfer Protocol (HTTP), which allows user agents to collaboratively author contents ''directly'' in an HTTP web server by providing facilities for concurrency control and namespace operations, thus allowing Web to be viewed as a ''writeable, collaborative medium'' and not just a read-only medium. WebDAV is defined in by a working group of the Internet Engineering Task Force (IETF). The WebDAV protocol provides a framework for users to create, change and move documents on a server. The most important features include the maintenance of properties about an author or modification date, namespace management, collections, and overwrite protection. Maintenance of properties includes such things as the creation, removal, and querying of file information. Namespace management deals with the ability to copy and move web pages within a server's namespace. Collections deal with the creation, remo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SPARQL
SPARQL (pronounced "sparkle" , a recursive acronym for SPARQL Protocol and RDF Query Language) is an RDF query language—that is, a semantic query language for databases—able to retrieve and manipulate data stored in Resource Description Framework (RDF) format. It was made a standard by the ''RDF Data Access Working Group'' (DAWG) of the World Wide Web Consortium, and is recognized as one of the key technologies of the semantic web. On 15 January 2008, SPARQL 1.0 was acknowledged by W3C as an official recommendation, and SPARQL 1.1 in March, 2013. SPARQL allows for a query to consist of triple patterns, conjunctions, disjunctions, and optional patterns. Implementations for multiple programming languages exist. There exist tools that allow one to connect and semi-automatically construct a SPARQL query for a SPARQL endpoint, for example ViziQuer. In addition, tools exist to translate SPARQL queries to other query languages, for example to SQL and to XQuery. Advantages ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Linked Data
In computing, linked data (often capitalized as Linked Data) is structured data which is interlinked with other data so it becomes more useful through semantic queries. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages only for human readers, it extends them to share information in a way that can be read automatically by computers. Part of the vision of linked data is for the Internet to become a global database. Tim Berners-Lee, director of the World Wide Web Consortium (W3C), coined the term in a 2006 design note about the Semantic Web project. Linked data may also be open data, in which case it is usually described as Linked Open Data. Principles In his 2006 "Linked Data" note, Tim Berners-Lee outlined four principles of linked data, paraphrased along the following lines: #Uniform Resource Identifiers (URIs) should be used to name and identify individual things. #HTTP URIs should be used to allow these thing ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
JSON
JSON (JavaScript Object Notation, pronounced ; also ) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pairs and arrays (or other serializable values). It is a common data format with diverse uses in electronic data interchange, including that of web applications with servers. JSON is a language-independent data format. It was derived from JavaScript, but many modern programming languages include code to generate and parse JSON-format data. JSON filenames use the extension .json. Any valid JSON file is a valid JavaScript (.js) file, even though it makes no changes to a web page on its own. Douglas Crockford originally specified the JSON format in the early 2000s. He and Chip Morningstar sent the first JSON message in April 2001. Naming and pronunciation The 2017 international standard (ECMA-404 and ISO/IEC 21778:2017) specifies "Pronounced , as in 'Jason and The ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Locker (software)
The Locker project was an open source software project for users to record that was called a "digital wake": the sites they visit, the purchases they make, and other activities. History A company called Singly was funding development of Locker, in the belief that third-party developers would build applications, such as recommender systems, using it. Singly was founded by Jeremie Miller, creator of XMPP, Jason Cavnar and Simon Murtha-Smith in 2010 in San Francisco. Matt Zimmerman, former CTO of Ubuntu, joined Singly in May 2011. In 2011 Singly joined a personal data ecosystem consortium, which existed through about 2013. Locker was free software under a BSD license on GitHub. It was intended that users would be able to control which parts of their locker they share with their social network and companies they interact with. Developers could write connectors to pipe data in from a website such as Flickr, or a local application such as a web browser. Alternatively, they can write Syn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
JavaScript
JavaScript (), often abbreviated as JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS. As of 2022, 98% of Website, websites use JavaScript on the Client (computing), client side for Web page, webpage behavior, often incorporating third-party Library (computing), libraries. All major Web browser, web browsers have a dedicated JavaScript engine to execute the Source code, code on User (computing), users' devices. JavaScript is a High-level programming language, high-level, often Just-in-time compilation, just-in-time compiled language that conforms to the ECMAScript standard. It has dynamic typing, Prototype-based programming, prototype-based object-oriented programming, object-orientation, and first-class functions. It is Programming paradigm, multi-paradigm, supporting Event-driven programming, event-driven, functional programming, functional, and imperative programming, imperative programming paradigm, programmin ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Vault Modeling
Data vault modeling is a database modeling method that is designed to provide long-term historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that deals with issues such as auditing, tracing of data, loading speed and resilience to change as well as emphasizing the need to trace where all the data in the database came from. This means that every Row (database), row in a data vault must be accompanied by record source and load date attributes, enabling an auditor to trace values back to the source. It was developed by Daniel Linstedt, Daniel (Dan) Linstedt in 2000. Data vault modeling makes no distinction between good and bad data ("bad" meaning not conforming to business rules). This is summarized in the statement that a data vault stores "a single version of the facts" (also expressed by Dan Linstedt as "all the data, all of the time") as opposed to the practice in other data warehouse methods of storing "a single ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Privacy By Design
Privacy by design is an approach to systems engineering initially developed by Ann Cavoukian and formalized in a joint report on privacy-enhancing technologies by a joint team of the Information and Privacy Commissioner of Ontario (Canada), the Dutch Data Protection Authority, and the Netherlands Organisation for Applied Scientific Research in 1995. The privacy by design framework was published in 2009 and adopted by the International Assembly of Privacy Commissioners and Data Protection Authorities in 2010. Privacy by design calls for privacy to be taken into account throughout the whole engineering process. The concept is an example of value sensitive design, i.e., taking human values into account in a well-defined manner throughout the process. Cavoukian's approach to privacy has been criticized as being vague, challenging to enforce its adoption, difficult to apply to certain disciplines, challenging to scale up to networked infrastructures, as well as prioritizing corporate i ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Vendor Relationship Management
Vendor relationship management (VRM) is a category of business activity made possible by software tools that aim to provide customers with both independence from vendors and better means for engaging with vendors. These same tools can also apply to individuals' relations with other institutions and organizations. The term appeared in Computerworld magazine in May 2000, albeit in the context of a business managing its IT vendors. The term was first used in the context here by Mike Vizard on a Gillmor Gang podcast on September 1, 2006, in a conversation with Doc Searls about the project Searls had recently started as a fellow at the Berkman Center for Internet & Society at Harvard University. Vizard saw VRM as a natural counterpart of customer relationship management. Searls' project then became named ProjectVRM, and has since worked to guide the development of VRM tools and services. VRM tools provide customers with the means to bear their share of the relationship burden with vendo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
