Sparql

Snorql — A Browser-Based UI for Exploring Multiple SPARQL Endpoints https://nakamura196.github.io/snorql/ Introduction Have you ever wanted a quick, easy way to try out SPARQL endpoints? SPARQL is the standard query language for searching Linked Open Data (LOD), but each endpoint often has a different UI — or none at all. To solve this, I published Snorql, a tool that lets you switch between multiple endpoints from a single, unified UI. ...

Introduction Odeuropa is a project that studies the history of scents in Europe, collecting and analyzing representations of scents depicted in paintings, literature, and other historical sources. This article introduces the implementation of a web application for visualizing scent data based on SKOS (Simple Knowledge Organization System) vocabulary systems, utilizing Odeuropa’s SPARQL endpoint. https://odeuropa-seven.vercel.app/ja/ Project Overview Technology Stack Frontend: Next.js 15 (App Router) UI: Material-UI v5 Internationalization: next-intl Data Retrieval: SPARQL queries (Odeuropa SPARQL endpoint) Language: TypeScript Hosting: Static Site Generation (SSG) Main Features 1. Scent Search (/odeuropa-sources) The core feature of the application, allowing users to search and browse smell perception events collected by the Odeuropa project. ...

Introduction Odeuropa is a unique project that extracts descriptions of “scent” from European historical documents and structures them as Linked Data. In this article, we explore the actual data through the SPARQL endpoint, revealing its structure and design philosophy. What is Odeuropa? Project name: Odeuropa (Odeurs d’Europe = European scents) Database URL: https://data.odeuropa.eu/ SPARQL endpoint: https://data.odeuropa.eu/repositories/odeuropa Web interface: https://explorer.odeuropa.eu/ Overall Data Model Odeuropa uses an extended ontology specialized for scent, based on CIDOC-CRM (Conceptual Reference Model for Cultural Heritage). ...

Overview The GitHub repository for grlc is as follows. https://github.com/CLARIAH/grlc It is described as follows. grlc, the git repository linked data API constructor, automatically builds Web APIs using shared SPARQL queries. I tried out this tool, so here are my notes. The API endpoint created targeting the Japan Search SPARQL Endpoint is as follows. https://grlc.io/api-git/nakamura196/grlc-jps Background While researching Odeuropa, I found this tool mentioned on the following page. https://odeuropa.eu/nosebooks/ ...

Overview I had the opportunity to try AllegroGraph, so this is a memo of my experience. https://allegrograph.com/ Usage There appear to be several setup methods, but I will try the following cloud version. https://allegrograph.cloud/ After setup, the following screen is displayed. After logging in, multiple repositories are displayed. Enabling Anonymous Access For example, the SPARQL endpoint for the “actors” repository is: https://ag1edt2www58hzzy.allegrograph.cloud/repositories/actors/sparql By default, Basic authentication is required. ...

Overview I had an opportunity to count co-occurrence frequencies for RDF triples, so this is a memo of the process. Following the article below, I will again use the Japan Search RDF store as an example. Example 1 The following counts the number of triples that share a common creator (schema:creator) among instances of the sword type. The filter avoids identical instances and prevents duplicate counting. s } e l ? ? F e e e I c n n L t t t T i i E ( t t R c y y ( o 1 2 ? u e n a a n t t ( t s t s i * y c y c t ) p h p h y e e e e 1 a : m : m s 刀 a 刀 a ! 剣 : 剣 : = ? ; c ; c c r r ? o e e e u a a n n t t t t o o i ) r r t y w ? ? 2 h v v e a a & r l l & e u u e e ? { e . . n t i t y 1 < ? e n t i t y 2 ) https://jpsearch.go.jp/rdf/sparql/easy/?query=select+(count(*)+as+%3Fcount)+where+{ ++%3Fentity1+a+type%3A刀剣%3B +++++++++++++schema%3Acreator+%3Fvalue+. ++%3Fentity2+a+type%3A刀剣%3B +++++++++++++schema%3Acreator+%3Fvalue+. ++FILTER(%3Fentity1+!%3D+%3Fentity2+%26%26+%3Fentity1+<+%3Fentity2) } ...

Overview This is a memo on how to count the number of triples in an RDF store. This time, we will use the Japan Search RDF store as an example. https://jpsearch.go.jp/rdf/sparql/easy/ Number of Triples You can count the number of triples with the following query. S W } E H L E ? E R s C E T ? { p ( C ? O o U N T ( * ) A S ? N u m b e r O f T r i p l e s ) The result is as follows. ...

Overview The Course of Study LOD is described as follows. The Course of Study LOD publishes the content, codes, and related information of the Course of Study and Education Guidelines published by the Ministry of Education, Culture, Sports, Science and Technology as Linked Open Data (LOD). The target for LOD conversion is the latest version of the code tables for all school types of current and former Courses of Study and Education Guidelines (including partial revisions) that are currently published. ...

Overview The Media Arts Database was officially released on 2024/1/31. https://mediaarts-db.artmuseums.go.jp/ This article introduces usage examples of the Media Arts Database SPARQL endpoint with Yasgui. I hope the following article about Yasgui is also helpful. Usage Examples Time-series changes in the number of published manga tankoubon (collected volumes) https://api.triplydb.com/s/AqIH1InmC Time-series changes in the number of published game packages https://api.triplydb.com/s/L2REuOshZ Time-series changes in the number of published manga tankoubon containing “isekai” (another world) or “tensei” (reincarnation) https://api.triplydb.com/s/4ciTNJGb2 ...

This is a memo about visualizing item counts by latest update year for the Japan Search utilization schema. https://api.triplydb.com/s/bfcE2qF65 It is based on the following query. https://zenn.dev/nakamura196/books/a4534e306de7e7/viewer/e38587 We hope this is helpful.

Overview The Cultural Japan RDF store contains information about exhibitions. You can retrieve a list using a query like the following, specifying type:展覧会 (Exhibition) for rdf:type. P P s } R R e ? E E l s F F e I I c r X X t d f t r d : r y d i t d p f s y f e s t p s : : i e : n l < < c t a h h t y b t t p e t t e l p p : s : w 展 ? : h 覧 l e 会 a w r ; b j w e e p w l s . { e w . a 3 r . c o h r . g g 2 . 0 j 0 p 0 / / t 0 e 1 r / m r / d t f y - p s e c / h > e m a # > https://ld.cultural.jp/snorql/?query=select+distinct+*+where+{ %3Fs+rdf%3Atype+type%3A展覧会%3B +++++++rdfs%3Alabel+%3Flabel+.+ } ++ ...

Overview I created the following page for publishing RDF data. https://sukilam-educational-metadata.github.io/ In particular, from the following page, you can search RDF data using SPARQL and Snorql. For Snorql, I am using “Snorql for Japan Search”. Please try the query examples at the bottom of the page. https://sukilam-educational-metadata.github.io/snorql/ When publishing this page, I obtained persistent identifiers using w3id.org and set up redirects to Snorql, so this is a personal note for future reference. ...

Overview This is the result of investigating how to customize “Snorql for Japan Search,” which is used by Japan Search. I plan to update this article as needed. Please note that it may contain errors. Menu Changing the Page Title _ p o w e r e d B y L a b e l : " C u l t u r a l J a p a n " , " J a p a n S e a r c h " , Changing the Query Endpoint _ e n d p o i n t : " h t t p s : / / l d . c u l t u r a l . j p / s p a r q l / " , / " h t t p s : / / j p s e a r c h . g o . j p / r d f / s p a r q l / " , Changing the poweredByLink URL ...

Overview Yasgui (Yet Another Sparql GUI) provides various advanced features for creating, sharing, and visualizing SPARQL queries and their results. https://github.com/TriplyDB/Yasgui This time, I attempt various visualizations using the Japan Search SPARQL endpoint with Yasgui. Results Table Display I visualize the number of items per dataset. First, here is a standard table display. Result Filtering and sorting of results is also possible. Chart Using the “Chart” tab, I attempt a chart display of the same results. ...

I created a notebook demonstrating examples of running SPARQL queries against the Japan Search RDF store using Google Colab. I hope it serves as a useful reference when using RDF stores with Python. https://colab.research.google.com/github/nakamura196/ndl_ocr/blob/main/ジャパンサーチのRDFストアを対象したSPARQLチュートリアル.ipynb Other reference sites and tutorials include the following. https://www.kanzaki.com/works/ld/jpsearch/ https://lab.ndl.go.jp/data_set/tutorial/