Text Analysis for Knowledge Graphs
نویسندگان
چکیده
منابع مشابه
Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images
We present a baseline approach for cross-modal knowledge fusion. Different basic fusion methods are evaluated on existing embedding approaches to show the potential of joining knowledge about certain concepts across modalities in a fused concept representation.
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Providing means for effectively accessing and exploring large textual data sets is a problem attracting the attention of text mining and information visualization experts alike. The rapid growth of the data volume and heterogeneity, as well as the richness of metadata and the dynamic nature of text repositories, add to the complexity of the task. This chapter provides an overview of data visual...
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Taxonomy-based representations are widely used to model compactly large amounts of textual data. While current methods allow organizing knowledge at the lexical level (keywords/concepts/topics), there is an increasing demand to move towards more informative representations, which express properties of concepts and relations among them. This demand triggered our research on statement entailment ...
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Large text databases potentially contain a great wealth of knowledge. However, text represents factual information (and information about the author’s communicative intentions) in a complex, rich, and opaque manner. Consequently, unlike numerical and fixed field data, it cannot be analyzed by standard statistical data mining methods. Relying on human analysis results in either huge workloads or...
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ژورنال
عنوان ژورنال: Quality & Quantity
سال: 2006
ISSN: 0033-5177,1573-7845
DOI: 10.1007/s11135-006-9020-z