Semantic Wikis for Information Management Working Group Conor Shankey CEO March 9, 2006 Visual Knowledge, Inc. 11/27/2018

CEO Conor Shankey Founder & CEO of Visual Knowledge, 15 years. Architected largest corporate wan/lan of it’s kind outside US in 1990 Architected enterprise transactional frame system to supplement/replace mission critical mainframe systems of large power utility CTO/co-founder of several spin out companies from Visual Knowledge Co-founder Clera Pharmaceuticals, small anti-psychotic drug discovery company NCOR technical committee, Chair of 2006 OWL workshop (Intl Semantic Web Conference) 11/27/2018

Visual Knowledge What is our technology? Large scale multi-agent software systems Agents that are rapidly modeled and evolved by different groups of people 11/27/2018

Visual Knowledge R&D through real-world implementations 11/27/2018

Visual Knowledge What is our technology? Systems of agents that can be federated and can create executable systems Agent systems that cope with conflicting ideas, causality and context 11/27/2018

Semantic Agent Like living Lego Pieces Atom of knowledge, content, and behavior. At the most granular level, everything in Visual Knowledge is made up of semantic agents. Semantic agents are declarative specifications for services. They are not algorithms. Their DNA is knowledge — knowledge about resources, content, media, language, processes, functions, and how to communicate with other agents. Semantic agents collaborate with other agents across platform(s) to provide services and capabilities. Semantic agents can be modeled, built, purchased, shared, acquired, and linked together 11/27/2018

Inference Agents Semantic Agents that execute inferencing primitives Can be assembled and re-used in more complex models Can be customized for different inferencing paradigms OWL Description Logic Lexical Analysis Higher order logic Numerical / Statistical modeling Apriori Reasoning Bayesian Reasoning Spatial inferencing 11/27/2018

Visual Knowledge Pluggable Packages of Semantic Agent Capability via Web Services Composite Apps OWL Engine MOF/ UML/ERD ISO11179 VK Upper Ontologies Meta Meta Semantic Microkernel 11/27/2018

Semantic Micro Kernel Very light weight / portable web service Designed to support 100M+ concepts, billions of triples Ontologies and Knowledge Base reside in Kernel All agents, attributes, relationships reside in pure form between disk and memory system Almost all inferencing primitives reside in kernel API generator creates common interface for Java, C#, Python, Ruby, Smalltalk and Lisp Ported to Windows, Linux, Mac, Super Computers, etc. 11/27/2018

Other Architectural Keys All agents are first class active objects Intelligent Semantic Change Management Pluggable, distributed semantic capability servers 100% compatibility with OWL/RDF 11/27/2018

The original wiki idea “A web site where anybody could create/edit a web page” Structure is not pre-determined invented & evolved by community neither top down or bottom up Quick collaborative writing Non-linear Hypertext 11/27/2018

Simplicity Additional Notions Very simple markup for authors Any page can be immediately revised assuming you have the right privileges All changes are audited and transparent to the community “Concepts” in text can immediately become active resources (pages/links) Simplicity 962 000+ articles 11/27/2018

Benefits of the wiki idea Distinct concepts or topics are built on the fly Discourse forms around or in the context of a topic Eliminates serialized document work flow Team or community members can immediately see commentary in the context of a topic Consensus Agility Cohesion Speed 11/27/2018

version? Compared To… Each person edits a copy of the document A poor soul merges the results Expensive file shares E-mailing bulky documents “Versions” of opaque documents everywhere “Organizing” documents in hierarchal file system version? 11/27/2018

Greatest Strength and Weakness Topics or concepts lack semantics A WikiWord is just a WikiWord A page with related formatted text and WikiWords Authored, versioned content Instance based security Arbitrary structure Quick and open architecture and adoption led to lack of standardization Security? 11/27/2018

Semantics to the rescue Phrases having different meanings in different contexts Water on mars? Food Space Exploration 11/27/2018

Semantics to the rescue Different concepts have different properties Spatial properties Unique Relationships Security is critical concern! Some information should be presented in views to different audiences (like your social security number) For mission critical systems, staging is essential, we need separate, federated Development servers Data Staging servers QA servers Simulation servers Production servers 11/27/2018

VK Semantic Wiki Wiki concepts are just elements of an ontology Now wiki concepts have formal properties Enables semantic searching Security becomes deeply integrated into wiki Customized Wiki Views Driven by ontology Driven by library of visual templates Integrated change management Federated semantic wikis 11/27/2018

VK Semantic Wiki Semantic Wikis are organized around Communities of Interest Versions of ontologies of interest drive capabilities in Wiki Protected worlds with controlled access to outside communities All contacts, concepts, layouts presented in W3C standards OWL RDF (FOAF, Dublin Core) HTML 11/27/2018

Demo Semantic Wiki OWL Driven App cshankey@visualknowledge.com If you would like to beta, please contact cshankey@visualknowledge.com 11/27/2018