Explaining and querying knowledge graphs by relatedness
نویسندگان
چکیده
منابع مشابه
Explaining and Querying Knowledge Graphs by Relatedness
We demonstrate RECAP, a tool that explains relatedness between entities in Knowledge Graphs (KGs) and implements a query by relatedness paradigm that allows to retrieve entities related to those in input. One of the peculiarities of RECAP is that it does not require any data preprocessing and can combine knowledge from multiple KGs. The underlying algorithmic techniques are reduced to the execu...
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Abstract. Knowledge graphs (KGs) are a key ingredient for searching, browsing and knowledge discovery activities. Motivated by the need to harness knowledge available in a variety of KGs, we face the following two problems. First, given a pair of entities defined in some KG, find an explanation of their relatedness. We formalize the notion of relatedness explanation and introduce different crit...
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Knowledge graphs (KGs) are important assets for search, analytics, and recommendations. However, querying a KG to explore entities and discover facts is difficult and tedious, even for users with skills in SPARQL. First, users are not familiar with the structure and labels of entities, classes and relations. Second, KGs are bound to be incomplete, as they capture only major facts about entities...
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With the increase in structured Linked Data sources, Knowledge Graphs(KG) are becoming indispensable in areas like Question Answering, Web Search and Data Analytics. Given the richness present in the KG schema definitions, more expressive user querying is possible. However, accessing KGs is still challenging, because the rich schema is not exposed in a more intuitive way to the naive user. This...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2017
ISSN: 2150-8097
DOI: 10.14778/3137765.3137807