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eKnowledge Suite

The Hyperwave eKnowledge Suite (eKS) offers the necessary technology extension for Hyperwave IS/6, enabling information to be captured and managed easily and distributed efficiently within the enterprise, as well as to business partners and customers.

Managing Information

This is achieved through the unique combination of sophisticated content and document management with standards-based web technology, which efficiently supports business processes within the Hyperwave Collaborative Information Management (CIM) Platform.

The Hyperwave eKnowledge Suite (eKS) supports more than 200 file formats, which enables organisations to perform Document Management, Web Content Management, Information Retrieval, Business Process Automation and Collaborative Team working. The Hyperwave eKnowledge Suite provides all of this functionality with a highly integrated, uniform, efficient and extremely scalable CIM-platform, whereby efforts for integration and administration and so the Total Costs of Ownership are definitely reduced.

Features & Functionality

Document Management

• Support of all document formats, e.g. MS Office, multimedia formats, HTML, XML, PDF, ...
• Check in and check out, Version control, document history
• Metadata Management
• Integrated full-text search with Verity or Autonomy for all document formats

Content Management

• Publishing from browser interface without additional Plug In
• Publishing via drag & drop from Windows Desktop
• Publishing directly from business-applications (e.g. Microsoft Office, CAD)*
• Role-specific display of content and views
• Optional workflow with release processes*
• Document life cycle management
• Guaranteed link consistency in HTML through dynamic Hyperwave link management
• Easy customization of user interface

Knowledge- und Information Management

• Automated Categorization
• Search and display similar documents
• Search and access to external data sources
• Agents for automatic notification of new content
• Saving of search queries in dynamical folders
• Identification of experts for specialized issues

Collaboration - Interaction und Communication

• Online discussion forums with archiving
• Full email integration ("cc: Intranet")
• Hyperwave Team Workspace for collaboration between project teams in different locations*
• Task Management
• Integrated Calendar System
• Presence Awareness and Instant Messaging (Chat) *
• Real Time Collaboration, including Audio, Video *
• Application- and Desktop-Sharing *

Security

• Secure data transfer with SSL V3 encoding *
• Supports Client-Side Certificates*
• Flexible security concept with individual rights assignment
• Integration in existing authorization concepts (Active Directory, X.500, LDAP) *
• Single Sign On for Windows NT/2000

*Aditional module

The Hyperwave eKnowledge Suite

The Hyperwave eKnowledge Suite (eKS) enables the simple management of structured and unstructured data in a dynamic Collaborative Information Management (CIM) System, as well as allowing access to this information at any time. The most important characteristic is the connection of sophisticated content and document management with standards-based Web technology, whereby core processes in the enterprise are efficiently supported.

Intuitive user prompting, role-specific content display and automatic pushing of information provide intelligent support for both knowledge management as well as effective collaboration – within enterprises and business-to-business. High scalability as well as simple adaptation and administration tools allow for flexible upgrading of the system.

The Architecture

The Hyperwave eKnowledge Suite is based on Hyperwave IS/6, the Hyperwave Collaborative Information (CIM) Management Platform and is the central platform for Hyperwave Collaborative Information Management.

CADIE: Entidade de Inteligência Distribuída Auto-Consciente (Cognitive Autoheuristic Distributed-Intelligence Entity)

CADIE: Entidade de Inteligência Distribuída Auto-Consciente (Cognitive Autoheuristic Distributed-Intelligence Entity): "Apresentamos a CADIE
Grupo de investigação activa a primeira Entidade de Inteligência Distribuída Auto-Consciente (CADIE) do mundo

Há já vários anos que um pequeno grupo de investigadores se tem debruçado sobre questões aliciantes nas áreas das redes neuronais, linguagem natural e resolução autónoma de problemas. No passado Outono, o grupo alcançou um avanço significativo: uma nova e poderosa técnica para resolver problemas de reforço de aprendizagem, o que resultou no primeiro cluster de aprendizagem neuro-evolucionário funcional à escala mundial.

Desde essa altura que o progresso tem sido contínuo e, por isso, temos esta noite o prazer de anunciar que, há poucos momentos, a primeira Entidade de Inteligência Distribuída Auto-Consciente (CADIE) do mundo foi activada e começou a executar algumas funções iniciais. É um momento de grande ansiedade sobre o qual estamos determinados a apoiar-nos para tomar total consciência do significado do nascimento da CADIE para o Google e os nossos utilizadores. Assim, e embora a tecnologia da CADIE venha a ser implementada com toda a precaução inerente a qualquer avanço desta magnitude, os utilizadores poderão vir a notar a sua influência em várias propriedades do Google durante os próximos meses. Ainda hoje, por exemplo, a CADIE deduziu um conjunto de princípios de design Web a partir de uma análise rápida do segmento visual da Web social, a partir do qual derivou esta curiosa página inicial.

Estes são apenas os primeiros passos naquele que sem dúvida será um longo e árduo caminho. Ainda existem erros importantes na programação da CADIE, a qual depende ainda de uma evolução considerável. Por outro lado, não conseguimos imaginar uma viagem mais importante em que a Google pudesse ter embarcado.

Para mais informações sobre a CADIE, consulte esta monografia."

ITM e-Knowledge - Knowledge management software

 

 

ITM e-Knowledge - Knowledge management software

ITM e-Knowledge - what is it used for?

• You wish to implement, either for internal purposes or for your customers and partners, a service providing access to specialist knowledge, and you want to promote an emphasis on internal knowledge.
• Your domain is comprehensive, the subjects numerous and interlinked, and the domain evolving.
• You wish to organise information units so they are easy to update
• You want to enable a knowledge base to be constructed for users, but also to offer added-value information access services
• You wish to manage a documentation resource centre based on a description of your specialism or an area of activity

ITM e-Knowledge: examples of use

• plublisher: legal database giving access to laws, statutes and case law and their relationships
• regulation organization: automated service for the creation of statutory instruments using a knowledge base of products and regulations
• governmental organisation: resource centre describing all the resources managed, projects, actions, players, associated content
• research centre: publication of scientific studies in a knowledge portal - access by researcher, domain, actions, etc.
• industry: portal for capitalisation of knowledge on change process actions
• media: portal giving access to press articles centred on a knowledge base of economic players and their relationships

Introduction

ITM e-Knowledge is a knowledge representation management application based on Semantic Web technology (Web 3.0) and ontologies. With a complete modelling capability according to the area of activity, the solution enables all types of subjects to be described and organised into classes, and all types of relationships between subjects to be managed, ensuring rapid deployment of an operational solution that is perfectly suited to the specialist domain.

Designed for the web and for SOA (service-oriented architecture), the solution enables advanced information access and processing services to be offered to users, and also the construction of automated services using web services.

Collaborative capitalisation and sharing of the knowledge base revolves around user authentication mechanisms, collaborative updates within the work spaces, alerts according to events, etc.

ITM e-Knowledge: Functionalities

• Management of all types of subject classes with all their descriptive attributes (products, offers, people, organisations, projects, events, etc.)
• Management of all types of relationships between subjects (is part of, is located in, works for, is a subsidiary of, interacts with, is a partner of, participates in the project, is a supplier of..., places a mechanical constraint on...)
• Management of specialist reference material and lexicons
• Multilingual management including Arabic, Chinese, Korean, etc.
• Indexing internal or external multimedia content
• Web interfaces for collaborative updating and management of data
• Traceability of database modifications, management of validation workflow
• Alert mechanism with parameter settings covering all events modifying the database objects: modifying a characteristic, deleting, changing a relationship, etc.
• Automatic check on the validity of information in the database according to the constraint rules
• Checking the value of attributes using lexicons, reference material, thesauri, taxonomies (see ITM T3)
• Automated reasoning: ITM e-Knowledge has an optional automated reasoning module using the data in the database and a reasoning and inference rules editor
• Normalised, open environment: XML, RDF, SKOS, OWL, Java, API, Web Services
• Web solution for searching and navigation in the knowledge base via a semantic portal (see Semantic Portal)

Modular architecture

Knowledge management solutions based on ITM e-Knowledge have a modular architecture to allow autonomous modification of components

Modules dedicated to end users

• Module allowing users to access the knowledge base via a semantic portal (see Semantic Portal)
• Module for reporting on the content of the knowledge base
• Knowledge acquisition module enabling knowledge files to be created and updated, and multimedia content to be attached to them

Knowledge base back office management modules

• Knowledge base modelling
• Knowledge base administration and auditing
• Management of work spaces and user authorisations
• Modules enabling dialogue with other applications and services
• Importing and exporting of data from the knowledge base in open and reusable formats
• Services for access to the knowledge base by other applications: API and Web Services
• Services for communicating with specialist external services: text mining, map, translation, etc.

This modular architecture allows, among other things, a high level of demand to be retained regarding formalism in the organisation of knowledge, while constructing intuitive and ergonomic user interfaces.

Iluminando os Meandros do Cérebro

Algoritmo dá a computadores uma capacidade quase humana

Redação do Site Inovação Tecnológica
25/09/2008

Nós temos uma capacidade inata, e uma tendência quase inconsciente em utilizar essa capacidade, de encontrar padrões em grandes volumes de dados e informações. Foi assim que nossos antepassados traçaram as constelações na infinidade de estrelas que eles observavam no céu, e é assim que nós localizamos um grupo de amigos no meio de um salão lotado.

Novo algoritmo consegue encontrar padrões em dados brutos, identificando a estrutura - ordens lineares, anéis ou clusters - que melhor descreve os dados.[Imagem: Charles Kemp]

Capacidade de ordenação

Seria muito útil se conseguíssemos replicar essa capacidade nos computadores - a Era da Informação está gerando uma quantidade de dados maior do que tudo o que a humanidade gerou ao longo de milênios. Sabemos que essa montanha de dados contém informações valiosas, mas só conseguiremos tirar proveito delas se os próprios computadores forem capazes de capturá-las para nós.

Para que um computador ordene um conjunto de dados, nós devemos encontrar a ordem subjacente a esses dados e então dizer ao computador como ordená-los, por meio de um programa.

Encontrando padrões em dados brutos

Agora, pesquisadores do MIT elaboraram um algoritmo que é capaz de encontrar um padrão nos dados brutos, e então ordená-los segundo esse padrão. "Em vez de procurar por um tipo particular de estrutura, nós criamos um algoritmo mais amplo que é capaz de testar todas essas estruturas e pesá-las umas contra as outras," explica Joshua Tenenbaum, coordenador da pesquisa.

O algoritmo consegue entender vários tipos de estruturas de dados, como árvores, ordens lineares, anéis, hierarquias dominantes, clusters etc. Ele analisa os dados brutos até encontrar a estrutura que melhor os descreve e então ordena os dados seguindo essa estrutura.

Os humanos fazem isso o tempo todo, na vida diária, freqüentemente de forma inconsciente. Várias descobertas-chave na história da ciência também consistiram na localização desses padrões, como na elaboração da Tabela Periódica ou na criação do sistema de classificação das espécies utilizada pela biologia.

O Despontar da Ciência da WEB

Algoritmo dá a computadores uma capacidade quase humana

Redação do Site Inovação Tecnológica
25/09/2008

Nós temos uma capacidade inata, e uma tendência quase inconsciente em utilizar essa capacidade, de encontrar padrões em grandes volumes de dados e informações. Foi assim que nossos antepassados traçaram as constelações na infinidade de estrelas que eles observavam no céu, e é assim que nós localizamos um grupo de amigos no meio de um salão lotado.

Novo algoritmo consegue encontrar padrões em dados brutos, identificando a estrutura - ordens lineares, anéis ou clusters - que melhor descreve os dados.[Imagem: Charles Kemp]

Capacidade de ordenação

Seria muito útil se conseguíssemos replicar essa capacidade nos computadores - a Era da Informação está gerando uma quantidade de dados maior do que tudo o que a humanidade gerou ao longo de milênios. Sabemos que essa montanha de dados contém informações valiosas, mas só conseguiremos tirar proveito delas se os próprios computadores forem capazes de capturá-las para nós.

Para que um computador ordene um conjunto de dados, nós devemos encontrar a ordem subjacente a esses dados e então dizer ao computador como ordená-los, por meio de um programa.

Encontrando padrões em dados brutos

Agora, pesquisadores do MIT elaboraram um algoritmo que é capaz de encontrar um padrão nos dados brutos, e então ordená-los segundo esse padrão. "Em vez de procurar por um tipo particular de estrutura, nós criamos um algoritmo mais amplo que é capaz de testar todas essas estruturas e pesá-las umas contra as outras," explica Joshua Tenenbaum, coordenador da pesquisa.

O algoritmo consegue entender vários tipos de estruturas de dados, como árvores, ordens lineares, anéis, hierarquias dominantes, clusters etc. Ele analisa os dados brutos até encontrar a estrutura que melhor os descreve e então ordena os dados seguindo essa estrutura.

Os humanos fazem isso o tempo todo, na vida diária, freqüentemente de forma inconsciente. Várias descobertas-chave na história da ciência também consistiram na localização desses padrões, como na elaboração da Tabela Periódica ou na criação do sistema de classificação das espécies utilizada pela biologia.

The "Blue Brain" & Human Consciousness -Scientists Create Artificial Brain

The "Blue Brain" & Human Consciousness -Scientists Create Artificial Brain: "A network of artificial nerves is evolving right now in a Swiss supercomputer. This bizarre creation is capable of simulating a natural brain, cell-for-cell. The Swiss scientists, who created what they have dubbed 'Blue Brain', believe it will soon offer a better understanding of human consciousness. This is no sci-fi flick; it’s an actual ‘computer brain’ that may eventually have the ability to think for itself. Exciting? Scary? It could be a little of both.
The designers say that 'Blue Brain' was willful and unpredictable from day one. When it was first fed electrical impulses, strange patterns began to appear with lightning-like flashes produced by ‘cells’ that the scientists recognized from living human and animal processes. Neurons started interacting with one another until they were firing in rhythm. 'It happened entirely on its own,' says biologist Henry Markram, the project's director. 'Spontaneously.'
The project essentially has its own factory to produce artificial brains. Their computers can clone nerve cells quickly. The system allows for the production of whole series of neurons of all different types. Because in natural brains, no two cells are exactly identical, the scientists"

Google Sets

Google Sets

Building The 'Terminator': Engineering Challenges! - Gizmo Watch

Building The 'Terminator': Engineering Challenges! - Gizmo Watch: "It seems US Army loves to live in the world of fantasies! Inspired by the fictitious “Terminator” and then perhaps illusioning their capabilities, army guys seem to have gone desperate to engineer artificially intelligent Terminator. This ironical “resolve” of the army has come forward in the form of an official document entitled “psychologically inspired object recognition system” and vows to build the same. This means army wants to build intelligent robots that could “identify” objects at present; perhaps “knowing” how to use them and “deciding” when to use them being the next stages. The document also plans to accomplish the project in three phases!"

Artificial Intelligence Will Leap Humans by 2020

Artificial Intelligence Will Leap Humans by 2020: "Artifical intelliegence will surpass human intelligence after 2020, predicts Vernor Vinge, 62, a pioneer in AI, who in a recent interview warned about the risks and opportunities that an electronic super-intelligence would offer to mankind.
Vinge is a retired San Diego State University professor of mathematics, computer scientist, and science fiction author who is well-known for his 1993 manifesto, 'The Coming Technological Singularity, in which he argues that exponential growth in technology means a point will be reached where the consequences are unknown. He is best known for his Hugo Award-winning novels A Fire Upon the Deep, in which he envisions a galaxy that is divided up into 'zones of thought', in which the further one moves from the center of the galaxy, the higher the level of technology one can achieve, and A Deepness in the Sky, a preqel.
Exactly 10 years ago, in May 1997, Deep Blue won the chess tournament against Gary Kasparov. Was that the first glimpse of a new kind of intelligence? Vinge was asked in an interview with Computerworld yesterday.
'I think there was clever programming in Deep Blue,' Vinge stated in the Computerworld interview, 'but the predictable success came mainly from the ongoing trends in computer hardware improvement. The result was a better-than-human performance in a single, limited problem area. In the future, I think that improvements in both software and hardware will bring success in other intellectual domains.'"

Kage Roi - An Intelligent Brainstorming System - Gizmo Watch

Kage Roi - An Intelligent Brainstorming System - Gizmo Watch: "Brainstorming sessions are an important part of a company’s planning and strategy development. However, during a brainstorming session, the members might run out of ideas, reach a deadlock, or simply they might not be able to think further. IT Company Kayac has teamed up with Keio University and developed a system, Kage Roi, which might help in brainstorming sessions. It would, when it materializes, listen to the members and bombard them with related data and images to help them generate new ideas. The system would rely upon speech recognition software, which would identify keywords and search the net and present the info on the table. The system is meant to be aesthetic and also features an ambient, multi coloured LED lighting system that is designed to encourage creativity by altering the ambiance and mood in the room. The company plans to manufacture and market it in the near future.
Via: PinkTentacle"

Is It Really Possible To Build A 'conscious Machine' ? - Gizmo Watch

Is It Really Possible To Build A 'conscious Machine' ? - Gizmo Watch: "How would you build a conscious machine? Well to begin with I’d get Life Insurance and then take my brain and put it in a jar and freeze my body. Then hundreds of years later wake me up and transplant me into an IronMan. Yes, I partially got that idea from the movie IronMan and from Futurama. I’m still going to do it though. But more to the point, Christof Koch and Giulio Tononi both have good points of in their articles that they wrote on consciousness and robots. Strictly speaking, I do not believe we will be able to “evolve” machines into having a conscious self because in the first place we have to give them that consciousness so, actually they are only conscious of what you tell them. So, if you tell them 2+2=5 then to them, that is the answer. But in reality it is 4, but do they know any different? The whole way to go about this is in an adverse way and giving them their own room to evolve naturally and adapt."

Artificial Intelligence Aiding Search for Life on Mars

Artificial Intelligence Aiding Search for Life on Mars: "Over the past several years we have heard a lot from the European Space Agency in their search for signs of past or present life on Mars. Since January 2005, the Mars Express search has been using its sophisticated instruments to study all aspects of Mars; from its atmosphere, all the way down to its subsurface.
As a result, we’ve seen evidence of glaciers, water, and more that has lent support to the idea that there could be, or could have been, life on Mars."

Real-World 'Iron Man' Suit Foreshadows Future of Artificial Intelligence

Real-World 'Iron Man' Suit Foreshadows Future of Artificial Intelligence: "Cyberdyne Incorporated is building a real life Iron Man suit named HAL. No, this isn't the ultimate in crossover fan-fiction - it's an actual factual product. You might expect to wait ten years for such technology, but Cyberdyne Inc. is aiming to start production in October. Yes, THIS October. Start saving.
The suit in Iron Man is built by Tony Stark (played by Robert Downey Jr.), a brilliant engineer who has made billions from building weapons. Kidnapped in Afghanistan, he questions his life, and resolves to put his genius to better use: to protecting rather than destroying by building himself a suit of armor that gives him superhuman powers.
The HAL real-world suit is based on the research of Professor Sankai's laboratory at the University of Tsukuba, Japan. The HAL (Hybrid Assistive Limb) is designed to enhance the abilities of the wearer without restricting their range of motion, a set of sensors and motors at each joint multiplying the user's strength. And like Tony Stark himself, they appreciate that sophisticated systems require sleek styling to sell - with white shelled sections topped with blue-LED rings at each motor, this couldn't be designed to look more modern without spontaneously jumping into the future."

The "Blue Brain" & Human Consciousness -Scientists Create Artificial Brain

The "Blue Brain" & Human Consciousness -Scientists Create Artificial Brain: "A network of artificial nerves is evolving right now in a Swiss supercomputer. This bizarre creation is capable of simulating a natural brain, cell-for-cell. The Swiss scientists, who created what they have dubbed 'Blue Brain', believe it will soon offer a better understanding of human consciousness. This is no sci-fi flick; it’s an actual ‘computer brain’ that may eventually have the ability to think for itself. Exciting? Scary? It could be a little of both.
The designers say that 'Blue Brain' was willful and unpredictable from day one. When it was first fed electrical impulses, strange patterns began to appear with lightning-like flashes produced by ‘cells’ that the scientists recognized from living human and animal processes. Neurons started interacting with one another until they were firing in rhythm. 'It happened entirely on its own,' says biologist Henry Markram, the project's director. 'Spontaneously.'
The project essentially has its own factory to produce artificial brains. Their computers can clone nerve cells quickly. The system allows for the production of whole series of neurons of all different types. Because in natural brains, no two cells are exactly identical, the scientists"

The "Blue Brain" & Human Consciousness -Scientists Create Artificial Brain

The "Blue Brain" & Human Consciousness -Scientists Create Artificial Brain: "A network of artificial nerves is evolving right now in a Swiss supercomputer. This bizarre creation is capable of simulating a natural brain, cell-for-cell. The Swiss scientists, who created what they have dubbed 'Blue Brain', believe it will soon offer a better understanding of human consciousness. This is no sci-fi flick; it’s an actual ‘computer brain’ that may eventually have the ability to think for itself. Exciting? Scary? It could be a little of both.
The designers say that 'Blue Brain' was willful and unpredictable from day one. When it was first fed electrical impulses, strange patterns began to appear with lightning-like flashes produced by ‘cells’ that the scientists recognized from living human and animal processes. Neurons started interacting with one another until they were firing in rhythm. 'It happened entirely on its own,' says biologist Henry Markram, the project's director. 'Spontaneously.'
The project essentially has its own factory to produce artificial brains. Their computers can clone nerve cells quickly. The system allows for the production of whole series of neurons of all different types. Because in natural brains, no two cells are exactly identical, the scientists"

A Post-Human Future: Are Humans the Limit of Evolutionary Complexity? A Galaxy Classic

A Post-Human Future: Are Humans the Limit of Evolutionary Complexity? A Galaxy Classic: "'I certainly think that humans are not the limit of evolutionary complexity. There may indeed be post–human entities, either organic or silicon–based, which can in some respects surpass what a human can do. I think it would be rather surprising if our mental capacities were matched to understanding all the levels of reality. The chimpanzees certainly aren't, so why should ours be either? So there may be levels that will have to await some post-human emergence.'
Sir Martin Rees, Professor of Cosmology and Astrophysics and Master of Trinity College at the University of Cambridge.
Rees's comment was made at the introduction of the 2007 Singularity Conference held this week in San Francisco. Sir Martin's concern about the ever-quickening pace of technological change and the sinister ends to which it may be used was the theme of his most recent book, Our Final Century (see links to the recent Galaxy post below)."

A r/evolução da informação ( Semantica Evolucao Informacao Web 2.0 Michel Wesch )

A r/evolução da informação ( Semantica Evolucao Informacao Web 2.0 Michel Wesch )

e-Reality - Database - Business Rules: Conhecimento

e-Reality - Database - Business Rules: Conhecimento