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Composeable software, under full local control of users, adapts shared communications data toward unlimited varieties of interactions and user experiences. Designing a unified information management platform starts with accepting that it is inherently impossible to create a consistent and unified view of the world. The real world is eventually-consistent and so is all real-world information. Truth exists at the edges of networks and propagates through available channels.
Ambiguities, falsehoods, and contradictions also arise and propagate. Social trust varies over time. Decisions must be made with incomplete and often conflicting information. The only plausible solution to this dilemma is to assume that information will be multi-sourced, but make it easily layerable.
This demands stability of reference, so that compositions and annotations can be built across even antagonisitic datasets. This is a primary motivation for our exclusive use of hash-based data referencing. One of the primary challenges of the Semantic Web effort has been the creation of useful ontologies. It is notoriously difficult to achieve global, cross-cultural standardization of even simple concepts, with parallels seen in natural language processing. If we expected perfect consistency, this would indeed be intractable.
Recent deep learning translation research successes may point the way, however. Instead of starting by gathering domain experts to manually design ontologies, machine-generated concept maps can be used to seed the process of collaborative ontology development. InfoCentral's proposal for stable hash-based references to concept nodes, along with layering and context discovery, make this feasible as a globally-scalable, evolvable solution.
Unlimited specialization of concepts via annotation alleviates the need for universal agreement on terms. If layered, a system can use whatever it understands and refine over time. There is no valid reason for personal and private business information to be scattered across dozens of isolated filesystems, databases, storage mediums, devices, public and private internet services, and web applications. This is simply an artifact of the past era of computing, where devices and softwares were largely designed as standalone "appliances" that didn't need to interact to one another -- forcing the user to do all the work in between.
We believe that all information should be integrated, all the time, without artificial boundaries. Users shouldn't have to worry about manually moving data around or wrestling it into different formats for different uses.
Information should never be trapped at service or application boundaries. And it should be trivial to ensure that all of one's information is stored redundantly. InfoCentral promotes users' control of their own information, with flexible control of data visibility through ubiquitous cryptography and reliable attribution through signing. InfoCentral promotes direct network service models over the user-surveillance and forced-advertising models relied upon by nearly all proprietary websites and apps.
Unlike other projects, however, InfoCentral does not propose that everyone should use the same network model. It has no dependencies on blockchains or DHTs. By standardizing information first, users are free to switch among networks and software at will. Because it is no longer embedded, any advertising must be re-imagined as an independently desirable commercial service rather than a form of manipulation. Users could actively choose to opt-in if they find a genuine benefit.
Interaction Patterns are declarative contracts for how shared graph data is used to accomplish things like sending a message, collaboratively editing a document, engaging in a threaded discussion, conducting a secret ballot, bidding on an auction, making a reservation, conducting any manner of business, or playing a game. Today, all of these sorts of interactions would need specialized software, like mobile apps. In the InfoCentral model, users can just grab a pattern, share it with participants, and start interacting.
Any user or system can operate over the global data graph. There is no need for custom web services as coordination points. Any sharable data repository will do. Services are simply automated participants in Interaction Patterns. They might be a local centralized trusted system.
They might be a Distributed Autonomous Organization living in a blockchain network. The data model is agnostic to these details.
One size never fits all. The InfoCentral model promotes diverse public and private networks that can be woven together seamlessly thanks to layerable data and reliable referencing. While it's hard to get people to agree, it's even harder today to get people to talk constructively. Layered, hash-referenced information allows many participants to engage one another without censorship on any side.
It ensures reliable conversation history and the ability to contextualize, cross-reference, annotate, and revise discussion points over time. With engaged communities, the best information and arguments can rise to the top, even amidst lack of true consensus. It almost goes without saying that such tools will also be a boon to communities already accustomed to civil discourse, like academic and scientific research.
The Internet of Things is a great idea without the proper infrastructure to support it. Current solutions are embarassingly clumsy, insecure, inflexible, and unreliable.
Consider the absurdity of a home thermostat or lighting appliance that must connect to a central web server just to set an integer value or an array of datetime-value tuples -- all through an opaque proprietary interface that can only talk to a special mobile app. Such solutions are nowhere close to the promise of universal interoperability that has defined Uniquitous Computing research. The semantic graph data standardization that InfoCentral proposes is the ideal universal interface for composing tomorrows Uniquitous Computing environments, bringing IoT devices into genuinely integrated meshes of personal and commercial functionality.
InfoCentral is a next-generation internet engineering project and proposal. It combines Information-Centric Networking, persistent graph data models, declarative programming, and the best elements of the Semantic Web into a new software and internet architecture -- one that is fundamentally decentralized and distribut able , while also easier to secure.
An information-centric internet and software ecosystem is fundamentally more composeable, contextual, and collaborative. Apps and sites are replaced by a fully integrated information environment and personalizable workspaces.
The user is free to layer and adapt information and software to their needs, whether that user is human or AI. InfoCentral has exciting practical applications for early adopters. However, it ultimately designs for a future driven by practical forms of artificial intelligence, more collaborative social and economic patterns, and an expectation of universal technology interoperability.
Current software and internet architectures no longer properly support our ambitions. The InfoCentral proposal comprises a vision and set of principles to create clean-slate, future-proof open standards for information management, software engineering, and Internet communication.
While InfoCentral builds upon academic research, it is a practical engineering project intent on real-world results. Within the InfoCentral data model, entities are exclusively referencable using cryptographically-secure hash values. They are mathematically linked to the data they reference, making them as reliable as the hash algorithm.
InfoCentral designs take into account the need to migrate to stronger algorithms over time, while also mitigating the impact of discovered weaknesses. Human-meaningful naming necessarily creates mutable pointers. These are strictly disallowed by the data model because they are inherently unstable and not conducive to decentralized collaborative information.
While arbitrary object name metadata is supported at the UI level, memorable identifiers comparable to DNS and file paths are a false requirement based on legacy designs.
There is no need to remember and input arbitrary names and addresses in a properly designed information environment. Likewise, AI has no use for human naming but does require the mathematical reliability that only hash-based identities can provide. Global, reliable dereferencing is historically unrealistic in practice, even before considering the need for permanent, flat data identity. Current approaches are costly and fragile. Going forward, the best approach is to support modularity.
Network innovation must be unhindered, so that economics and popularity can drive QoS. Many networks and contained information overlays will also be private. The InfoCentral proposal has no expectation of a single global DHT, blockchain, or similar structure, though such approaches may be useful to spread lightweight information about available networks and to serve as a bootstrapping mechanism. We wholesale reject hierarchical naming and resolution schemes ie.
However, for the internal management of data exchange, networks may use any suitable packet identification, routing and metadata schemes. These are invisible and orthogonal to the persistent data model, which is entirely portable between systems and networks. Information-centric networks make data directly addressable and routable, abstracting most or all aspects of physical networks and storage systems.
This causes data itself to become independent of the artifacts that support its physical existence, effectively removing the distinction between local and global resources. Users and high-level software are thus liberated from worrying about these artifacts and may treat all data as if it were local.
A request for a data entity by its hash ID returns its contents, without knowledge of where it came from or how it was retrieved. Unlike some related projects, InfoCentral intentionally does not specify a single, particular networking scheme. One-size-fits-all network designs are economically detrimental. Redundancy and performance needs vary greatly and often cannot be predicted. Many host-based and content-based networks can be used to transparently back InfoCentral-style repositories, each bringing their own unique economics and QoS parameters.
Meanwhile, information itself has permanence while the networks and software around it evolve. Networks of the future will be smarter, with content-awareness often driving replication. Constellations of linked, related, and adjacently-accessed information will tend to become clustered near locations where popularity is high.
Service of subscriptions and interest registrations will likewise play a large role in shaping data flows. In any system founded upon immutable data structures, an out-of-band mechanism must provide a means to aggregate or notify of new data over time.
Having rejected mutable pointers, InfoCentral instead uses reference metadata collections to discover new data around what is already known. Reference metadata pertains to what data entities reference a given entity and potentially why. For example, a new revision references a previous revision or revision collection root. Upon creation, knowledge of its existence can be propagated to interested users.
Any given reference metadata collection is inherently partial knowledge of globally existent references to an entity. All nodes have their own collections per entity. The means of management are left unspecified because there are many possible schemes of propagation across and between varied networking schemes.
Again, this allows for endless specialization without changing the data model -- from state-based CRDTs to even fully synchronous replication among federated repositories. Metadata collections allow for unlimited layering of information from unlimited sources. It is up to data consumers to decide which metadata is useful, for example based on type, timestamp, or signatures from trusted parties. Structuring information as a persistent graph is the only method that allows unlimited, global-scale, coordination-free composition and collaboration.
Persistent graphs are even more powerful for data than hyperlinks were for the web of HTML pages. They allow precise 3rd party references that cannot break later, so long as the referenced entity exists somewhere in the world.
The exclusive use of hash-based references means that data entities natively form a directed acyclic graph. Interactivity can change a static sign into something dynamic. It can add new, contextual, and helpful information across nearly any vertical. This increased engagement and functionality are just a few of the many reasons why digital signage is the right choice!
Touch screens and interactive displays are allowing for businesses to reach their target market in a highly evolved fashion. Having interactivity as a feature makes users feel that they are in command of the experience. It's giving them the impression that your marketing tool is customer-oriented.
We have developed a simple, colloquial method of adding interaction to any element in your App. User-friendly, cloud-based InfoCentral Content Management System allows and empowers you to manage and update the contents on your digital signage network from any place, on any device, using any standard web browser without the need of locally installed software, delivering digital media information to selected screens.
InfoCentral offers flexible, yet down to the minute scheduling capabilities for day-by-day content organization and planning. The contents of each playlist can be assigned by date range, days of the week and time of the day. Multiple schedules may be freely combined for each playlist, allowing for sophisticated scheduling of datasets. Create a playlist, upload your content or select one of our templates to design your own slides. Schedule the playlist and assign media players that will download and play the presentation you created.
Templates are offered in both interactive in non-interactive designs, and the interactivity has already been built in to the template, so your App will be functional right out of the gate. With Templates, it is now easier than ever to create rich content quickly - minutes instead of hours. Simply choose an orientation, and an ever-growing list of Templates appear for you to choose from. InfoCentral is there to support our partners every step of the way.