semantic-web-search-engine | Linked Data Person Search Engine | JSON Processing library
kandi X-RAY | semantic-web-search-engine Summary
kandi X-RAY | semantic-web-search-engine Summary
The World Wide Web is a large collection of documents and other resources identified through Uniform Resource Locators (URL) accessed through the Internet. Humans can read the information contained in web documents, but this is difficult for machines to do. This is because of noise in natural language and the complexity of the document structure of these web documents. To make machines understand the information contained within web documents and aid them in extracting the information accordingly, explicit instructions must be added to the web documents to instruct the machine what the information denotes. Addressing this problem of adding semantics to information within web documents, the Semantic Web movement provides technologies for publishing machine-readable data on the web. The core technology is Resource Description Framework (RDF). RDF uses Uniform Resources Identifiers (URI) to identify information and entities within documents as well as relationships between these entities [1]. These entities and the relationships between them are defined in statements comprising of a subject, predicate and an object. This subject-predicate-object statement is called a triple. A collection of RDF statements is called a RDF document. RDF can be embedded into web documents using RDFa [1][2], such that the data can be linked, shared and reused across applications and enterprise boundaries. There has been a rise in the number of RDF data on the web due to the availability of tools and standards like RDF and OWL (Web Ontology Language) for publishing these semantic data [1][3]. A popular example is DBpedia, which is a collection of RDF documents extracted from Wikipedia. DBpedia uses RDF to describe the entities in Wikipedia articles and their properties. The RDF data can be accessed through SPARQL queries which is a SQL-like language for querying RDF documents. In line with the vision of the Semantic Web of sharing data across applications, DBpedia is linked with external RDF datasets like GeoNames and US Census data. Given this increase in the amount of RDF datasets on the web, it is imperative to provide a way to find and discover this data through a semantic web search engine. Following the linked data approach that all items should be identified using URI references, the search engine would crawl the Semantic Web, following resource URIs and indexing the found resources [2]. This repo contains code for a linked data person search engine that crawls the Semantic Web, finding resources of type ’Person’, indexing these found resources. It indexes these found resources on resource URIs, human-readable labels of the resources and in line with linked data approach of linking semantic data, it keeps a list of resources that are linked to the found Person resource. It also provides a web-based user interface through which human users can find these resources.
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Top functions reviewed by kandi - BETA
- Return the highest scoring document
- Run an elasticsearch query
- Render the result
semantic-web-search-engine Key Features
semantic-web-search-engine Examples and Code Snippets
Community Discussions
Trending Discussions on JSON Processing
QUESTION
Usually when st_read is used you put path in dsn, but in case of shiny if you put a full path inside dsn it will give an error as that file path does not exist on the server. So, now I put the shapefile in the www folder, but I don't know what path to put in dsn so that the app picks up the shapefile.
How can I fix this?
Current function code in the app:
...ANSWER
Answered 2021-Oct-03 at 00:33Thanks to Guillaumme for his comment, so I was able to fix the problem by first moving the shiny app to a R project. Then in the app code write st_read as follows, and the app is able to pick up the shapefile when its published on shinyapps.io.
QUESTION
This is my query and it works. I store the list of dictionaries inside my jsonb column.
ANSWER
Answered 2021-Aug-17 at 05:22The evaluation of the JSON path is a bit different between the jsonb_path_xxx() functions and the equivalent operator. Most importantly you do not need the ? (...) condition as that is implied when using the operator.
The following should be equivalent:
QUESTION
I have data stored in a JSON - and one of the fields is an index that determines the order in which the other data is done. Imagine
...ANSWER
Answered 2021-Jun-30 at 15:27Use any programing language, With java script, use Array.splice
QUESTION
I am new to JSON processing by NewtonSoft on C#. I have the following JSON and trying to get all orderIds and orderNumbers. I tried the following code. But in both cases, I am getting can't access child items error. I also tried using JObject.Parse(json) and tried to get the two values, but got similar errors.
...ANSWER
Answered 2021-Jun-23 at 19:49The for loop statement seems to be wrong since dynJson is an object and not an array. You need to loop through the dynJson.orders, like below.
QUESTION
I have a C# code embedded in a script task in SSIS, and I installed NewtonSoft.Json for some json processing. When I run the package, below error shows up:
Could not load file or assembly 'Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKeyToken=30ad4fe6b2a6aeed' or one of its dependencies. The system cannot find the file specified.
Despite trying all solutions and recommendations (uninstall & re-install the package, both from NuGet manager and through console, or adding the reference manually, etc.. ), whenever I run the SSIS package I still get the same error and the script task component fails.
I am using Visual Studio 2017 (SSDT).
How to solve the issue permanently?
...ANSWER
Answered 2021-Jan-26 at 17:24With SSIS, you can only reference assemblies installed on the GAC. Use gacutil, from Windows SDK to install the required assembly to the GAC
QUESTION
So I have a PostgreSQL (TimescaleDB) table that looks like this:
...ANSWER
Answered 2020-Sep-07 at 16:54There is no way to make this dynamic. The number (and types) of all columns of a query must be known to the database when parsing the statement, long before it's actually executed.
If you always have the same structure you can create a type:
QUESTION
I am running my Fat Jar in Flink Cluster which reads Kafka and saves in Cassandra, the code is,
...ANSWER
Answered 2020-Aug-23 at 22:02I solved the problem, there was LocalDateTime which was emitting from and when i was converting with same type, there was above error. I changed the type into java.util Date type then it worked.
QUESTION
I am looking for a simple way to parse an XML structure with a repeated element using Jackson. Here is a simplified example:
...ANSWER
Answered 2020-Aug-23 at 14:42The problem mentioned here is described in this Github issue: https://github.com/FasterXML/jackson-dataformat-xml/issues/187
Basically what is happening is that Jackson is translating XML tree structure in JsonNode data model and this will not work as it's not supported.
There is 2 options described in that Github issue:
- Fully transform this XML to JSON (answer from @cawena on Github)
- Or if you know your data structure to just use answer from p0sitron which is:
Code:
QUESTION
I was trying to create an interactive map with the Shiny web application, however, after I published it to my shiny.io account, clicking the URL will only yield: shiny.io application page
...ANSWER
Answered 2020-Jul-28 at 21:15I am thinking you mean shinyapps.io. To get to the logs:
- Click on the dashboard view (the left-side panel).
- Click on the name of your app (a hyperlink)
- Click on the logs button at the top of the screen
QUESTION
This is a follow-on question from closing the loop on passing the app and data to a Shiny deployment function:
How to use shiny app as a target in drake
I would like to deploy a Shiny app directly from a drake plan as below.
...ANSWER
Answered 2020-Jul-16 at 18:20Now that I see how you are deploying the app, I can say that this is expected behavior. Yes, your custom_shiny_deployment() has access to the data, but the deployed app does not because rsconnect::deployApp() does not ship objects from the calling environment. If you want the data to be available to the app, I recommend saving it (and tracking it with file_in() and file_out()) then passing it to the appFiles argument of deployApp() via custom_shiny_deployment().
Your app.R can stay like it is.
app.R is the same as what you wrote.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install semantic-web-search-engine
Clone the repository and change directory git clone https://github.com/allenakinkunle/semantic-web-search-engine cd semantic-web-search-engine
Create an isolated Python environment in the cloned directory to install the project dependencies virtualenv env source env/bin/activate The project dependencies are: Python Elasticsearch SPARQLWrapper: A wrapper for a remote SPARQL endpoint Flask
Install the dependencies pip install elasticsearch sparqlwrapper Flask
Make sure Elasticsearch is installed and running on your machine. Elasticsearch runs on port 9200 by default. Change the settings in the config.json file provided if you run it on a different host and port number.
Run the Crawler component of the code to crawl and index the found resources. (Make sure Elasticsearch is installed and running) cd Crawler python main.py
Run the web search interface cd Interface export FLASK_APP=web.py flask run
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