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Creates work concept by joining bibliographic resources with work clusters

Removes obsolete person and organisation documents in Elasticsearch index for linked-swissbib

Comprises configurations and docker-compose files for running microservices on our hosts

A set of commands extending the core functionalities of Metafacture

Kafka streams application which extracts different entities out of bibliographic resources (in MARC-XML) and transforms them to JSON-LD documents

Consumer to read messages from kafka topics and bulk indexing, updating or deleting in elasticsearch.

Manages the different workflows for transforming, enriching and indexing the bibliographic metadata in linked-swissbib

Library to extract specific datafields from MARCXML records

Volumes record enrichment workflow based on Apache Flink

2 hours presentation about docker container technolgy In the end they will see a running docker-compose environment which includes the components:

php-apache mysql solr with three nodes zookeeper ensemble with three nodes

Presentation "Microservices based on the Kafka Event Hub" held at ELAG 2019, on May 10th, 2019 https://swissbib.gitlab.io/presentations/microservices-and-kafka

Mirco service to filter unused wikidata messages.

merges dbpedia cluster uris into dbpedia resources.

Downloads and saves the latest wikidata dump. Will check once a day for a new dump.

Micro Service to enrich metadata for swissbib persons with existing links to Wikidata, VIAF, GND or DBpedia.

An application which searches or creates links between swissbib data and various data sources (viaf, gnd, wikidata, dbpedia).

A micro service to read the change stream from the wikimedia API for wikidata. Publishes each change to a kafka topic.

A simple micro service which downloads the GND Datasets needed for enrichment / linking.

Micro service to transform wikidata items from n-triples into json-ld including some data cleaning. The json-ld dataset is then indexed in elasticsearch.

A micro service to import the data from lobid GND into our elasticsearch data hub.