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Terms and Definitions
Define terms here and link them to nodes which use them
RELATED ARTICLES
Explain
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OpenSherlock Project
OpenSherlock Project☜Fabricating possibly many open source variants along the lines of IBMs Watson. The projects name has changed from SolrDrWatson to SolrSherlock, with thanks to Tom Munnecke. Migrating to OpenSherlock concept where we generalize beyond Solr as the platform core.☜F1CEB7
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Terms and Definitions
Terms and Definitions☜Define terms here and link them to nodes which use them☜59C6EF
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Analysis, Harvesting
Analysis, Harvesting☜☜FFB597
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Emerging and Existing Standards and Specifications
Emerging and Existing Standards and Specifications☜☜FFB597
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Knowledge Organization
Knowledge Organization☜☜FFB597
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Knowledge Representation
Knowledge Representation☜☜FFB597
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Annotation
Annotation☜An annotation is a note that is made while reading any form of text. Here, we expand on that☜59C6EF
↳
Anticipation
Anticipation☜Anticipation, or being enthusiastic, is an emotion involving pleasure, excitement, and sometimes anxiety in considering some expected or longed-for good event.☜59C6EF
↳
Anticipatory Parsing
Anticipatory Parsing☜Term coined to describe a natural language parser which is inherently anticipatory☜59C6EF
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Anticipatory Systems
Anticipatory Systems☜In artificial intelligence (AI), anticipation is the concept of an agent making decisions based on predictions, expectations, or beliefs about the future. It is widely considered that anticipation is a vital component of complex natural cognitive systems. ☜59C6EF
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As If Semantic Primitives - AISP
As If Semantic Primitives - AISP☜Programming languages, data structures and markup syntaxes, treat some tokens as if semantic primitives. AISPs are created by design decision. An AISP does not mean a token is a semantic primitive, just that it is treated as one. Other authors may choose differently, for the same token.☜59C6EF
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Case-based Reasoning
Case-based Reasoning☜☜59C6EF
↳
Cognitive Computing
Cognitive Computing☜☜59C6EF
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Context Accumulation
Context Accumulation☜☜59C6EF
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Crowd sourcing
Crowd sourcing☜☜59C6EF
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Feedback
Feedback☜☜59C6EF
↳
Grammar Induction
Grammar Induction☜Grammatical induction, also known as grammatical inference or syntactic pattern recognition☜59C6EF
↳
IBM's Watson
IBM's Watson☜Cognitive systems like Watson may transform how organizations think, act, and operate in the future. Learning through interactions, they deliver evidence based responses driving better outcomes.☜59C6EF
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Infoglut
Infoglut☜☜59C6EF
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Information Extraction
Information Extraction☜Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents.☜59C6EF
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Learning
Learning☜☜59C6EF
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Link grammar
Link grammar☜A syntax which builds relations between pairs of words☜59C6EF
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Machine Reading
Machine Reading☜Can machines read the web?☜59C6EF
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Namespace
Namespace☜In general, a namespace is a container for a set of identifiers (names), and allows the disambiguation of homonym identifiers residing in different namespaces☜59C6EF
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Probabilistic Model
Probabilistic Model☜☜59C6EF
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Prolog
Prolog☜Prolog is a general purpose logic programming language associated with artificial intelligence and computational linguistics.☜59C6EF
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Question Answering
Question Answering☜☜59C6EF
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Semantic Primitives
Semantic Primitives☜☜59C6EF
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Software Agent
Software Agent☜☜59C6EF
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Topological data analysis
Topological data analysis☜Topological data analysis (TDA) is a relatively new area of research that spans many disciplines including topology (in particular, homology), statistics, machine learning and computation geometry.☜59C6EF
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User Experience (UX)
User Experience (UX)☜☜59C6EF
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Analogy
Analogy☜Analogy (from Greek ἀναλογία, analogia, proportion) is a cognitive process of transferring information or meaning from a particular subject (the analogue or source) to another particular subject (the target), or a linguistic expression corresponding to such a process. ☜9FDEF6
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Heuristic
Heuristic☜>☜9FDEF6
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Node
Node☜>☜9FDEF6
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How To ?
How To ?☜The overall HowTo section☜FFB597
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What Quests are entailed in this project?
What Quests are entailed in this project?☜Quests include solving software dev problems, but they can also include applications of the platform, e.g. studying climate change, inflammation, etc. The notion of a Quest helps define approaches to using the system☜FFB597
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Architecture Ideas
Architecture Ideas☜In which varieties of approaches to satisfying use cases are topics; these can include existing projects which can be adapted to SolrDrWatson☜59C6EF
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Curation Notes
Curation Notes☜☜59C6EF
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Github
Github☜☜59C6EF
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Goals
Goals☜Use cases, scenarios which explain how SolrDrWatson can be used; this drives architectural considerations: use cases should be cross-linked to architectural ideas☜59C6EF
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Project funding
Project funding☜☜59C6EF
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References
References☜Links to resources related to the SolrDrWatson project☜59C6EF
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Resources
Resources☜Links to projects with code which relate to this project☜59C6EF
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Software License
Software License☜In which we examine the options for an Open Source License for this project☜59C6EF
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SolrSherlock Project Summary
SolrSherlock Project Summary☜A narrative-based high-level view of this project from the perspective of Jack Park. Perspectives from others are encouraged.☜59C6EF
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Tags
Tags☜Nodes which serve as topic-centric tags☜59C6EF
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Tasks
Tasks☜In which we create a space for tasks which are of value to be contributed to the projects codebase through individual, say, Github repositories.☜59C6EF
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The project's name
The project's name☜Brief sketch of some name options☜59C6EF
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Graph of this discussion
Graph of this discussion☜Click this to see the whole debate, excluding comments, in graphical form☜dcdcdc
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Jack Park
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Entry date (GMT):
1/28/2013 5:12:00 PM
Last edit date (GMT):
2/28/2013 11:55:00 PM
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