Displaying how concepts within or between fields are related can demonstrate how concepts are used within and across fields. For example, a reader can follow how a concept is used in two or more fields. A taxonomy, which is limited, to hierarichal relationships could limit confusion caused by lateral or RT links across subjects. 

Taxonomy of Concepts

Displaying links between concepts can help readers see how concepts are related and the topical structure of a domain of information. This process usually requires interpreting relationships across sentences and paragraphs of linear text which can be easily misinterpreted. 

Linking topically related concepts

Indexes can state the relationship between cocnepts and can be structured in a variety of ways. Indexes do not typically display direct links between concepts. They are typically lists that use annotations to state a type of relationship. 

Displaying indexes of concepts

Making words or phrases as anchors, prominent in a knowledge entity to link to another knowledge entity.

Emphasizing Links Between Knowledge Entities

Organizing and categorizing pieces of information or knowledge entities (such as concepts, theories, or ideas) in a structured and systematic way. This process typically involves creating an index, which is essentially a searchable database of information that is organized according to specific criteria (such as subject, author, date, or relevance). By using indexes to catalog knowledge entities, it becomes easier to find and retrieve relevant information quickly, as well as to identify connections and relationships between different pieces of knowledge. This can be particularly useful for individuals or organizations that deal with large volumes of information, such as libraries, research institutions, or businesses, as it allows them to manage their knowledge more effectively and efficiently.

Using Indexes to Catalog Knowledge entities

Using a search engine to retrieve information and resources that are related to a specific topic or query. By entering relevant keywords or phrases into a search engine, users can generate a list of results that include web pages, articles, videos, and other types of content that are related to the query. Search engines use algorithms to analyze and rank content based on its relevance to the query, as well as other factors such as the quality of the content and the authority of the website. By exploring the search results and clicking on relevant links, users can discover new knowledge entities and deepen their understanding of a particular topic. Additionally, search engines can be used to refine and narrow down search results by using advanced search features, such as filtering by date or searching within a specific website.

Using Search Engine to Discover Related Knowledge Entities

Acknowledging and referencing the sources of information or knowledge that have been used in a particular work (such as an academic paper, article, or report). This process typically involves including a citation (usually in a specific format such as APA, MLA, or Chicago style) that provides details about the source (such as author, title, date, and publication) within the body of the work, as well as a list of references at the end of the work that provides more detailed information about each source. By citing sources in this way, the author of a work can provide readers with a mechanism to locate and access the sources themselves, as well as to evaluate the credibility and reliability of the information presented. In addition, citing sources also helps to establish a chain of knowledge and understanding, by linking the ideas and arguments presented in the work to those that have been developed by others in the same field or discipline.

Citing as a Mechanism to Link to References

- Emphasizing links
- Using indexes
- Citing references
- Search Engines

San Jose State University

University of Michigan - Ann Arbor

Connecting the knowledge acquired from courses, books, and other sources can be challenging as authors and instructors often focus on making their material coherent within the scope of their work, disregarding its coherence in relation to other courses, books, or resources that the reader may have encountered earlier.

Disconnected knowledge entities in Online Communities

Solutions to disconnected knowledge entities

In a knowledge dissemination environment, where knowledge entities are disconnected, it is more likely for contributors to create knowledge entities that were previously produced by other contributors. This is due to the disconnectedness of the knowledge entities, which makes it very difficult to identify the related entities that were previously added to the system.

Disconnected knowledge entities --> Duplicate knowledge entities

While crowdsourcing video content on YouTube, Vimeo, TikTok, … has significantly improved free knowledge sharing, the generated content is very disconnected, providing no learning pathways for learners to start their learning from any video and follow along pathways to achieve their objectives.

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