这里提供了模型知识能力的相对排名：领先所有当前开源模型，但仅落后于Gemini-3.1-Pro。这是一个相对定位而非绝对性能数据。这种表述暗示DeepSeek-V4-Pro在知识广度上达到了接近顶级闭源模型的水平，这对需要广泛知识的应用场景具有重要意义。然而，缺乏具体的评估指标和分数，难以准确量化这一差距。

设置

wiki 2

wiki学习 1

Inside the very specific realm of personal knowledge bases, TiddlyWiki is the killer app when it comes to using blocks and having structured, translatable data behind them.

Viewer. (n.d.). SciBeh. Retrieved February 26, 2021, from https://scibeh.org/viewer/

ReconfigBehSci. (2020, November 9). Now underway at SciBeh workshop are our 3 hackathons: 1. Combatting COVID-19 misinformation with lessons from climate change denial 2. Optimising research dissemination and curation 3. ReSearch Engine: Search Engine for SciBeh’s knowledge base & beyond [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1325796158887882752

r/BehSciAsk - Workshop hackathon: ReSearch Engine: Search Engine for SciBeh’s knowledge base & beyond. (n.d.). Reddit. Retrieved 5 March 2021, from https://www.reddit.com/r/BehSciAsk/comments/jkz7jx/workshop_hackathon_research_engine_search_engine/

Definition of an ontology

Open Scholarship Knowledge Base. (n.d.). OER Commons. Retrieved August 19, 2020, from https://www.oercommons.org/hubs/OSKB

SciBeh’s Hypothes.is Tool. (n.d.). Vimeo. Retrieved July 15, 2020, from https://vimeo.com/436845680

Herzog, S. (2020, May 21). Boosting COVID-19 related behavioral science by feeding and consulting an eclectic knowledge base. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/boosting-covid-19-related-behavioral-science-by-feeding-and-consulting-an-eclectic-knowledge-base/

AMELICA/REDALYC EPIDEMICS-RELATED CONTENT – AmeliCA. (n.d.). Retrieved May 5, 2020, from http://amelica.org/epidemics/

Static site - no server needed

Search: autocomplete via in-browser lunr

Summary: Simple and easy to get started. Uses Python-Markdown, which does not support fenced code blocks in lists at this time of writing.

Built on Drupal

Targetted as a helpdesk and ticketing system, although it says knowledge base

A knowledge base

Stack: node

Search: form-based. No autocomplete. String-based. Not NLP (accepting questions)

Adding: create a new file.

I think of myself as a Moffett guy, in that early on in my teaching I found the notion of "Teaching the Universe of Discourse" and exciting and clear map for building curriculum and for assessing my students' progress at any moment. I learned to focus on a balance of the different kinds of writing in the UNIVERSE of discourse. When I began to think about what it meant to teach digital writing, I returned to Moffett's notion of looking at the range of possibility. And as the words here, "ever-changing" and "landscape," suggest, we can constantly be thinking about what to include in our digital curriculum. Snapchat? Instagram? Is blogging still an important part of the landscape? What does it mean to have more characters available on Twitter? Do my students need more time in something like a Google community with short, interactive online conversation or do they need to slow down a bit and create a web page? It's exciting to be playing in this field, and it's even more exciting when youth recognize that they can choose where they want to play and make a difference digitally as well -- and what they need to learn to have an impact digitally.