open knowledge maps
Open Knowledge Maps,AI literature review tool,literature search website
Official website of Open Knowledge Maps, AI literature review tool, literature search website
Introduction
Open Knowledge Maps (OKM) aims to map any type of knowledge through an easy-to-use and open platform. These maps are particularly useful for visualizing complex information, such as research papers or policy documents, making the information more accessible and understandable. It is a more powerful AI literature review and AI literature search tool than Connected Papers!Connected PapersMore powerful AI literature review and AI literature search tool!
Open Knowledge Maps official website:https://openknowledgemaps.org/
Open Knowledge Maps (OKM) is a non-profit organization committed to providing open access knowledge graph services to the global academic and research community. By integrating and visualizing knowledge in the academic field, it helps researchers and scholars better understand, discover, and utilize relevant research outcomes. OKM's goal is to break the limitations of traditional academic publishing models, promote knowledge sharing and information accessibility, and foster communication and collaboration in the academic field. It provides an open data-based knowledge graph platform that allows users to quickly and accurately access the latest research outcomes and key information in the academic fields of interest. At the same time, OKM encourages users to participate in the creation and updating of knowledge graphs, jointly building a more comprehensive and accurate academic knowledge network.
Features of Open Knowledge Maps:
Open licensing: Anyone can access, use, and build maps under certain Creative Commons or Open Data licenses. Standard compliance: The service uses open data and standards definitions developed by the Open Knowledge Foundation. Open data: The maps themselves are provided in open formats such as CSV, JSON, or XML, for others to use and reuse.
Open Knowledge Maps is particularly relevant in the context of the open science movement, as they provide researchers with a method to share and visualize data in an easily understandable and accessible way, thereby helping to improve the transparency, reproducibility, and collaboration of science.
Mainly applicable to English literature. The difference is that Connected Papers is based on a selected core paper to visualize other related papers. In contrast, Open Knowledge Maps retrieves results through keywords (e.g., climate change) and presents the current mainstream research directions and 100 highly cited and highly related papers under the retrieved keywords in the form of a visual map.
Main functions
The main functions of Open Knowledge Maps include:
1. Knowledge graph generation: Open Knowledge Maps uses machine learning and natural language processing technologies to extract key concepts and association relationships from a large number of academic literature and knowledge resources, generating structured and visual knowledge graphs.
2. Search and discovery: Users can search by keyword or field, and Open Knowledge Maps will return relevant academic literature, datasets, tools, and other information based on the user's query, helping users quickly find resources related to their research topics.
3. Open access resources: Open Knowledge Maps is committed to promoting open access academic research, allowing users to access and download relevant literature, datasets, and other resources for free, saving researchers' time and costs.
4. Expert recommendations: Based on the user's interests and search history, Open Knowledge Maps will recommend relevant experts and scholars in the field, helping users establish networks for cooperation and communication.
5. Community participation: Open Knowledge Maps encourages users to participate in the creation and updating of knowledge graphs, allowing users to submit their own research results and organize the knowledge structure of the academic field, jointly building a more comprehensive and accurate academic knowledge network.
6. Visual presentation: Open Knowledge Maps presents the knowledge in the academic field in the form of a graph, allowing users to intuitively understand the structure and association of related research fields, helping them better understand and master knowledge.
In summary, Open Knowledge Maps provides a comprehensive and convenient academic information platform for researchers and scholars through functions such as knowledge graph generation, search and discovery, open access resources, expert recommendations, community participation, and visual presentation, helping them quickly obtain, share, and utilize knowledge in the research process.
Latest literature search black technology✅Open Knowledge Maps
Open Knowledge Maps was founded by professors at the Graz University of Technology in Austria, providing non-profit services to scholars worldwide.
Open Knowledge Maps creates graphs based on keywords rather than core papers, and relies on text similarity and metadata to calculate the relevance of papers. This tool arranges 100 papers in similar subfields in bubble form, with their relative positions showing similarity; searching for articles related to "climate change" might produce a bubble related to "risk perception."
These bubble graphs can be generated in about 20 seconds, and users can adjust them to cover up to 100 recently published related papers or other resources. Open Knowledge Maps includes not only journal papers but also content such as datasets and research software. To date, its users have created over 400,000 graphs.
What is most commendable about this tool is that you can search for a very wide range of topics, such as 'language generation,' and it will gather papers on the topic. Some topics may not have occurred to you. For example, when searching for "speech brain area" (the region of the brain that processes sound and meaning), Open Knowledge Maps proposed a subfield of research on age-related differences in the processing process.
🟡Open Knowledge Maps operation process
First, open the browser, search for "Open Knowledge Maps," enter the official homepage after clicking, find the middle option, select Base, and then enter the keyword in the input bar below. After clicking the GO button, wait a moment.
After a brief wait, the search results will appear, and you can see various circles on the page, each representing a major category of literature. Clicking on any circle will show all the literature within it. This is a feature that other literature search tools cannot match. Additionally, it is particularly comfortable to organize literature and take literature notes based on this classification.
On the right is a summary of all the literature in the classification, including the publication date, author, journal, abstract, and other relevant information. If you are interested in a particular literature after viewing it, you can directly click the download button to download the literature.
Must-watch for PhD applications🔥Literature review treasure tool!
Tutorial:
1️⃣Google search and click "OpenKnowledgeMaps";
2️⃣Enter the general direction and field of the Literature you need, and you will get the classification results;
3️⃣After searching, many circles will appear on the left side of the page, each representing a different research direction category: you can judge the research status and popularity of the field by the number of circles. Clicking on one category will show all the related papers in that category.
Recommendation reasons:
1️⃣Batch acquisition of similar literature can avoid unnecessary filtering and improve efficiency!
2️⃣Supports precise search and fuzzy range search, which can narrow the search range.
3️⃣Convenient to view literature content, the interface can directly read PDF
✅Scopus
Tutorial:
Search by entering keywords (basic search, author search, institution search, and advanced search);
Recommendation reasons:
1️⃣Similar to EI and SCI, it is an abstract citation database, but it is the largest in scale!
2️⃣Covers a wide range of disciplines, even recommended by mentors, which can help you get more new ideas and perspectives.
3️⃣Provides Cite Score SJR, SNIP, and other journal evaluation indicators,
4️⃣And has developed various bibliometric tools to track and analyze retrieval tools and visualize them.