Chronor: Rotation based temporal knowledge graph embedding
Despite the importance and abundance of temporal knowledge graphs, most of the current
research has been focused on reasoning on static graphs. In this paper, we study the …
research has been focused on reasoning on static graphs. In this paper, we study the …
[HTML][HTML] Estimation-based optimizations for the semantic compression of RDF knowledge bases
Structured knowledge bases are critical for the interpretability of AI techniques. RDF KBs,
which are the dominant representation of structured knowledge, are expanding extremely …
which are the dominant representation of structured knowledge, are expanding extremely …
Unifying knowledge base completion with PU learning to mitigate the observation bias
Abstract Methods for Knowledge Base Completion (KBC) reason about a knowledge base
(KB) in order to derive new facts that should be included in the KB. This is challenging for …
(KB) in order to derive new facts that should be included in the KB. This is challenging for …
Statistical Relational Learning on Knowledge Graphs
A Sadeghian - 2021 - search.proquest.com
A vast amount of information is inherently graph structured, for example, human
relationships, chemical structures, or knowledge graphs; this type of data, are necessary in …
relationships, chemical structures, or knowledge graphs; this type of data, are necessary in …
Reasoning over Multi-Source and Dynamic Knowledge Graphs
MER Rodríguez - 2019 - search.proquest.com
Abstract Innovative approaches to Information Extraction (IE) have enabled the creation of
large Knowledge Graphs (KGs)(eg, YAGO, NELL, DBPedia, Wikidata) and Dynamic …
large Knowledge Graphs (KGs)(eg, YAGO, NELL, DBPedia, Wikidata) and Dynamic …
[引用][C] 거대지식베이스로부터의규칙마이닝방법조사
서인， 안종민， 한욱신 - 한국정보과학회학술발표논문집, 2019 - dbpia.co.kr
요 약거대한 지식베이스를 구축하고 이를 활용하는 것은 최근 정보검색 기술의 주요한
경향이다. 지식베이스는 현실에 존재하는 모든 사실들을 가지고 있지 못하는 불완전함 …
경향이다. 지식베이스는 현실에 존재하는 모든 사실들을 가지고 있지 못하는 불완전함 …