Hello, I would like to contribute to DBpedia. I have experience working on Knowledge Engineering. My work involved creating Ontologies along with developing full stack project using these Ontologies. My technical skills include Java, J2EE, Protege, Top Braid Composer, Python, RDF, Android. let me know, what project in DBpedia I can contribute to.
Hey @shreelakshmi,
nice to meet you. We are currently performing FlexiFusion [1] of different library datasets.
For this we need to map the ontologies of GND [2], Geonames [3] and Musicbrainz [4] to the DBpedia Ontology [5]. We already have some mappings for tests [6].
However, we want to establish or deploy a mapping management platform on DBpedia Databus. First step is our prototypical owl:equivalent Property Service [7] (calculating connected components (same property clusters) using at the moment the data from spreadsheet - but this was inserted manually. So we would like to do this in a more systematic, automatic and holistic way (still following pareto efficiency for now).
We imagine at the moment the following components for the databus mapping platform:
A) A databus mod [8] analyzing the schema / ontologies of datasets (void stats number of used classes, used properties, and maybe a schema summarization graph for the entire group
B) a way to represent metadata of mappings on the Databus and associate it with files/artifacts/groups (need to be defined by us actually but maybe you know vocabularies to describe mappings we have a prototype so far here https://github.com/dbpedia/format-mappings/blob/master/tarql/1.ttl )
C) another mod which looks for mappings based on A) and B) and computes how well the dataset is mapped
D) a mappings dashboard where users can define/maintain mappings with the help of A) and B) and C)
If you find this as exciting as I do let me know.
I think a perfect start would be possible with part A) to dive into databus, dataid, databus-mod vocabulary etc. Important is that this scales up to very large files (so rdf needs to be streamed e.g.).
Just let me know.
Cheers
Johannes
[1] https://svn.aksw.org/papers/2019/ISWC_FlexiFusion/public.pdf
[2] https://databus.dbpedia.org/jj-author/dnb/authorities/
[3] https://databus.dbpedia.org/kurzum/cleaned-data/geonames/
[4] https://databus.dbpedia.org/vehnem/musicbrainz/linkedbrainz/
[5] https://databus.dbpedia.org/denis/ontology/dbo-snapshots/
[6] https://docs.google.com/spreadsheets/d/1qqBZzseMJKHaf_OwAYDlomojNbWqwURz0_rUhASxhoA/edit#gid=0
[7] https://global.dbpedia.org/same-prop/lookup/?uri=http://dbpedia.org/ontology/mother
[8] https://github.com/dbpedia/databus-mods
1 Like
Hello @jfrey,
Thanks for the reply. I am interested in working on the components that are mentioned by you.
As suggested I can start with part A). Let me know how can I proceed.
Thanks,
Shreelakshmi
Hello @jfrey,
To begin with, I understand we need Scala. Trying to run [8]. Am I in the correct path. Let me know, what all I need to proceed further.
Thanks,
Shreelakshmi
Hey @shreelakshmi,
scala is not required. The example (prototypical!) online mod code is written in scala. So if you want to reuse that scala can be used. But I am fine with Java as well. So we have another mod which is not super complex which can deal as an example. I am on business travel at the moment. We can have a call tomorrow if you like. I 'll send you a PM.
Ok, I can build using Java. Sure. I can take call today or Friday. I live in India. Let me know your time zone as well. I work in my free time.
Hi @jfrey,
I’m interested in connecting dbpedia lexical properties to BabelNet which has a rich lexical connections with support of WordNet. It would help dbpedia data to be more comprehensible by computers. How does it sound?
Regards.
hey @cuneyt_tyler by lexical you mean not the ones from the ontology but the ones from {language-code}.dbpedia.org/properties/ namespace, right? yeah sounds worth a try. I recommend to check previous work though, I would assume that someone might have done sth. similar already.
particularly useful would be to have this applied for (various/all) languages. then wordnet concepts could be used as unified “ontology” to query unmapped data or even as candidates to be mapped in the future