WikiNizer™ Research (WikiNizeR) is a visual, Wiki-like knowledge organizer designed to construct Personal Knowledge Graphs by harvesting and contextualizing semantically structured information from Freebase as a linked data source. This tool enables users to visualize "meta" levels of reflection, facilitating sense-making and problem-solving processes. By integrating open web data within content-driven graph architectures of personal learning environments, WikiNizer supports the elaboration of dynamic graphs that articulate typed connections between 'Things' of interest, thereby enabling the emergence of novel concepts within complex content structures. It functions as a "self-curating" semantic knowledge management tool, supporting connectivist learning models and aiding in problem and project-based learning by helping define learning paths, workflows, and meta-level didactic structures. The system integrates web research, linked data, annotation, note-taking, and knowledge organization into a lifelong Personal Digital Archive of "born reproducible", ab initio re-purposable, and re-enactable Research Objects. The platform also supports collaborative knowledge work through a concept called Conceptipedia, a collaboration platform that allows users to compare, share, and merge their conceptualizations of a domain in the form of meta-knowledge graphs, turning semantic structures into visual Knowledge Architectures that consolidate ontological relations. This collaborative epistemology co-evolves meta-structures to the mutual benefit of users, making sense-making a social process of consensus building.

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Academia.edu
academia.edu › 39888201 › WikiNizer_Research_A_Personal_Knowledge_Graph_Builder_Harnessing_Freebase_Linked_Data
(PDF) WikiNizer™ Research: A Personal Knowledge Graph Builder Harnessing Freebase Linked Data
1 February 2025 - By enabling us to visualize "meta" levels of reflection, WikiNizeR facilitates our sense making and problem solving. Using Freebase as a linked data source it harvests and contextualizes semantically structured information, empowering us to curate a private Knowledge Graph of Things, which a view also to enhancing collaborative knowledge work.
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ResearchGate
researchgate.net › publication › 284177289_Augmenting_Knowing_with_WikiNizer_Research
(PDF) Augmenting Knowing with WikiNizer™ Research
1 April 2014 - By enabling us to visualize "meta" levels of reflection, WikiNizeR facilitates our sense making and problem solving. Using Freebase as a linked data source it harvests and contextualizes semantically structured information, empowering us to curate a private Knowledge Graph of Things, which a view also to enhancing collaborative knowledge work.
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ResearchGate
researchgate.net › home › gyuri lajos
Gyuri LAJOS | Freelance Web 3 Knowledge Architect | Doctor of Philosophy Computing | Founder | Research profile
The graphic features of WikiNizer, a wiki-like organizer implemented as a graph knowledge... ... Information technology helps us extend, deepen, and share our knowledge. We claim that visual tools not only enhance our capacity to formulate and share our explicit knowledge, they also help us to activate and transfer our tacit knowledge.
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ResearchGate
researchgate.net › publication › 284177571_VISUAL_SEMANTIC_CONCEPTUALIZATION_Conceptipedia_a_collaboration_platform_for_WikiNizers
(PDF) VISUAL SEMANTIC CONCEPTUALIZATION “Conceptipedia” a collaboration platform for “WikiNizers”
19 November 2015 - Using Freebase as a linked data source it harvests and contextualizes semantically structured information, empowering us to curate a private Knowledge Graph of Things, which a view also to enhancing collaborative knowledge work.
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ResearchGate
researchgate.net › publication › 318405134_BUILDING_WIKINIZER_A_PERSONAL_KNOWLEDGE_AUGMENTATION_ENGINE_FOR_NEXT-GEN_SEMANTIC_COLLABORATION_PLATFORMS
(PDF) BUILDING WIKINIZER, A PERSONAL KNOWLEDGE AUGMENTATION ENGINE FOR NEXT-GEN SEMANTIC COLLABORATION PLATFORMS
4 March 2013 - ... [48, 51?] Emergent "bottom up", evolutionary semantics, "refers to a set of principles and techniques analyzing the evolution of decentralized semantic structures in large scale distributed information systems" in which representation of semantics and the discovery of the proper interpretation go hand in hand. [53] In the case of augmented environments of conceptualization such as Codex [56], WikiNizer (regarding its collaborative reference model: Conceptipedia [54,64]), or OntoWiki [48], it is also a goal to built upon universal (in the sense of universal function) and "meta-designable" means of combinations with closure operations to create objects that are within the original domain of investigation, allowing recursive compositions, and "meta-reflective" "means of abstractions" for the generated contexts of application [36,
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ResearchGate
researchgate.net › publication › 280235986_BUILDING_AUGMENTED_KNOWLEDGE_ARCHITECTURES_REQUIREMENTS_FOR_COLLABORATION_PLATFORMS_OF_NEXT-_GEN_CONCEPT_ORGANIZATION_TOOLS
(PDF) BUILDING AUGMENTED KNOWLEDGE ARCHITECTURES: REQUIREMENTS FOR COLLABORATION PLATFORMS OF NEXT- GEN CONCEPT ORGANIZATION TOOLS
19 October 2012 - We illustrate the advantages of such a platform with the use cases of the already existing personal knowledge organization tool: WikiNizer, a Wiki like orgaNizer of one's Personal Knowledge Repository. We demonstrate that satisfying the proactive requirements it can also be used as a tool for visualizing the development of problem specific conceptual relations of the creative mind and one's related web research. The opening page of Google’s Knowledge Graph [30] ... Content may be subject to copyright. ... Content may be subject to copyright. ... contextualized, personalized, and reorganized.
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Semantic Scholar
semanticscholar.org › papers › visual semantic conceptualization. “conceptipedia” a collaboration platform for “wikinizers”
[PDF] Visual semantic conceptualization. “Conceptipedia” a ...
We illustrate, with use cases supplied by a new personal knowledge organization tool called WikiNizer (wikinizer.com), how visualizing information and its conceptual organization, can help learners…
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Semantic Scholar
semanticscholar.org › papers › wikinizer™ research: a personal knowledge graph builder harnessing freebase linked data
WikiNizer™ Research: A Personal Knowledge Graph Builder Harnessing Freebase Linked Data | Semantic Scholar
By enabling us to visualize “meta” levels of reflection, WikiNizeR facilitates our sense making and problem solving. Using Freebase as a linked data source it harvests and contextualizes semantically structured information, empowering us ...
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IATED Library
library.iated.org › view › LAJOS2013BUI
Abstract View
In this paper we report on early promising experiences with WikiNizer @ wikinizer.com, the Wiki like organizer of ideas, notes, web research forming Outlines and Structured Documents that incorporate a Semantic Web of non-linear links.
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Academia.edu
academia.edu › 36289703 › BUILDING_WIKINIZER_A_PERSONAL_KNOWLEDGE_AUGMENTATION_ENGINE_FOR_NEXT_GEN_SEMANTIC_COLLABORATION_PLATFORMS
(PDF) BUILDING WIKINIZER, A PERSONAL KNOWLEDGE AUGMENTATION ENGINE FOR NEXT-GEN SEMANTIC COLLABORATION PLATFORMS
22 July 2019 - In this paper we report on early promising experiences with WikiNizer @ wikinizer.com, the Wiki like organizer of ideas, notes, web research forming Outlines and Structured Documents that incorporate a Semantic Web of non-linear links.
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Academy's Library
real.mtak.hu › 71833
WikiNizer™ Research: A Personal Knowledge Graph Builder Harnessing Freebase Linked Data - Repository of the Academy's Library
Benedek, András, G. and Gyuri, Lajos (2014) WikiNizer™ Research: A Personal Knowledge Graph Builder Harnessing Freebase Linked Data. Linking Web Data for Education, D2.3.3. pp. 1-6. (Submitted) · WikiNizer™ Research (WikiNizeR) is a visual Wiki-like knowledge orgaNizer which constructs ...
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ACM Digital Library
dl.acm.org › doi › 10.1145 › 1458082.1458274
Searching the wikipedia with contextual information | Proceedings of the 17th ACM conference on Information and knowledge management
We propose a framework for searching the Wikipedia with contextual information. Our framework extends the typical keyword search, by considering queries of the type (q,p), where q is a set of terms (as in classical Web search), and p is a source ...
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Wikipedia
en.wikipedia.org › wiki › Contextualization_(computer_science)
Contextualization (computer science) - Wikipedia
17 October 2025 - Context or contextual information is any information about any entity that can be used to effectively reduce the amount of reasoning required (via filtering, aggregation, and inference) for decision making within the scope of a specific application. Contextualisation is then the process of identifying the data relevant to an entity based on the entity's contextual information.
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ScienceDirect
sciencedirect.com › science › article › pii › S2667305323000716
Context-enhanced concept disambiguation in Wikification - ScienceDirect
15 June 2023 - This work presents CACW (Context-Aware ... two algorithms; the first uses co-occurring mentions in consecutive windows to augment the available contextual information to find the correct sense....
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Wikipedia
en.wikipedia.org › wiki › Contextual_searching
Contextual searching - Wikipedia
6 November 2024 - Contextual search is a form of optimizing web-based search results based on context provided by the user and the computer being used to enter the query. Contextual search services differ from current search engines based on traditional information retrieval that return lists of documents based ...
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Wiktionary
en.wiktionary.org › wiki › contextualization
contextualization - Wiktionary, the free dictionary
From contextual +‎ -ization. ... The act or process of putting information into context; making sense of information from the situation or location in which the information was found.
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Geminidata
geminidata.com › data-contextualization
Data Contextualization 101 – Gemini Data
By definition, “contextualization” means adding related information to something to make it more useful. This can mean including background information, patterns, trends, outliers, and more to help a reader make sense of what the data is really saying.
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Liwc
liwc.app › help › contextualizer
LIWC — Contextualizer
Above, words from the “we” dictionary in LIWC-22 were being contextualized. If you would like to analyze your own custom word list, choose the “Analyze using Word List” option, then add in any words that you would like for the Contextualizer to capture.
information contextualized wikinizer - Brave Search