Pular para o conteúdo principal

Competency Quesitons from Ontologies to CKG

Elisa F. Kendall and Deborah L. McGuinness. Ontology Engineering. Morgan and Claypool, 2019.

Definition 12.1: A competency question is a (usually application-related) question towards the KG that is formalised in a query language, together with a formal specification of how an acceptable answer may look.

Competency questions focus on functional metrics:
• coverage/completeness (but cannot check all cases)
• correctness
• accessibility (using query answering software)


They can be used in several situations:
• To define the initial scope (requirements) of a new KG project
• To formalise data modelling decisions (how should knowledge be encoded to be accessible)
• For regression testing (ensure that KG does not break in the future)

Competency questions take a content-oriented view (application- and domain-specific), but the approach can be generalised to set up unit testing:
• Define a test suite of queries + (constraints on) expected answers
• Automatically run queries to detect problems

Fonte: https://iccl.inf.tu-dresden.de/w/images/e/eb/KG2021-Lecture-12-overlay.pdf

KNOWLEDGE GRAPHS
Lecture 12: Knowledge Graph Quality
Markus Krotzsch
Knowledge-Based Systems
TU Dresden, 11th Jan 2022


Competency questions (CQs) are questions in natural language that outline the knowledge and specify the constraints for knowledge representation.

Marcadores:

Comentários

Postar um comentário

Sinta-se a vontade para comentar. Críticas construtivas são sempre bem vindas.

Postagens mais visitadas deste blog

Connected Papers: Uma abordagem alternativa para revisão da literatura

Durante um projeto de pesquisa podemos encontrar um artigo que nos identificamos em termos de problema de pesquisa e também de solução. Então surge a vontade de saber como essa área de pesquisa se desenvolveu até chegar a esse ponto ou quais desdobramentos ocorreram a partir dessa solução proposta para identificar o estado da arte nesse tema. Podemos seguir duas abordagens:  realizar uma revisão sistemática usando palavras chaves que melhor caracterizam o tema em bibliotecas digitais de referência para encontrar artigos relacionados ou realizar snowballing ancorado nesse artigo que identificamos previamente, explorando os artigos citados (backward) ou os artigos que o citam (forward)  Mas a ferramenta Connected Papers propõe uma abordagem alternativa para essa busca. O problema inicial é dado um artigo de interesse, precisamos encontrar outros artigos relacionados de "certa forma". Find different methods and approaches to the same subject Track down the state of the art rese...
3 comentários
Leia mais

Knowledge Graph Embedding with Triple Context - Leitura de Abstract

  Jun Shi, Huan Gao, Guilin Qi, and Zhangquan Zhou. 2017. Knowledge Graph Embedding with Triple Context. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM '17). Association for Computing Machinery, New York, NY, USA, 2299–2302. https://doi.org/10.1145/3132847.3133119 ABSTRACT Knowledge graph embedding, which aims to represent entities and relations in vector spaces, has shown outstanding performance on a few knowledge graph completion tasks. Most existing methods are based on the assumption that a knowledge graph is a set of separate triples, ignoring rich graph features, i.e., structural information in the graph. In this paper, we take advantages of structures in knowledge graphs, especially local structures around a triple, which we refer to as triple context. We then propose a Triple-Context-based knowledge Embedding model (TCE). For each triple, two kinds of structure information are considered as its context in the graph; one is the out...
Postar um comentário
Leia mais

KnOD 2021

Beyond Facts: Online Discourse and Knowledge Graphs A preface to the proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Analysis (KnOD 2021, co-located with TheWebConf’21) https://ceur-ws.org/Vol-2877/preface.pdf https://knod2021.wordpress.com/   ABSTRACT Expressing opinions and interacting with others on the Web has led to the production of an abundance of online discourse data, such as claims and viewpoints on controversial topics, their sources and contexts . This data constitutes a valuable source of insights for studies into misinformation spread, bias reinforcement, echo chambers or political agenda setting. While knowledge graphs promise to provide the key to a Web of structured information, they are mainly focused on facts without keeping track of the diversity, connection or temporal evolution of online discourse data. As opposed to facts, claims are inherently more complex. Their interpretation strongly depends on the context and a vari...
2 comentários
Leia mais