158,339 research outputs found
A Semantic Web of Know-How: Linked Data for Community-Centric Tasks
This paper proposes a novel framework for representing community know-how on
the Semantic Web. Procedural knowledge generated by web communities typically
takes the form of natural language instructions or videos and is largely
unstructured. The absence of semantic structure impedes the deployment of many
useful applications, in particular the ability to discover and integrate
know-how automatically. We discuss the characteristics of community know-how
and argue that existing knowledge representation frameworks fail to represent
it adequately. We present a novel framework for representing the semantic
structure of community know-how and demonstrate the feasibility of our approach
by providing a concrete implementation which includes a method for
automatically acquiring procedural knowledge for real-world tasks.Comment: 6th International Workshop on Web Intelligence & Communities (WIC14),
Proceedings of the companion publication of the 23rd International Conference
on World Wide Web (WWW 2014
NOUS: Construction and Querying of Dynamic Knowledge Graphs
The ability to construct domain specific knowledge graphs (KG) and perform
question-answering or hypothesis generation is a transformative capability.
Despite their value, automated construction of knowledge graphs remains an
expensive technical challenge that is beyond the reach for most enterprises and
academic institutions. We propose an end-to-end framework for developing custom
knowledge graph driven analytics for arbitrary application domains. The
uniqueness of our system lies A) in its combination of curated KGs along with
knowledge extracted from unstructured text, B) support for advanced trending
and explanatory questions on a dynamic KG, and C) the ability to answer queries
where the answer is embedded across multiple data sources.Comment: Codebase: https://github.com/streaming-graphs/NOU
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