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Article
Open AccessA corpus of Persian literary text
Persian poetry has profoundly affected all periods of Persian literature and the literature of other countries as well. It is a fundamental vehicle for expressing Persian culture and political opinion. This pa...
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Article
Commonsense based text mining on urban policy
Local laws on urban policy, i.e., ordinances directly affect our daily life in various ways (health, business etc.), yet in practice, for many citizens they remain impervious and complex. This article focuses on ...
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Chapter
Refinement
Beyond assessing the quality of a knowledge graph, there exist techniques to refine the knowledge graph, in particular to (semi-)automatically complete and correct the knowledge graph [Paul-heim, 2017], aka knowl...
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Chapter and Conference Paper
Temporal Event Reasoning Using Multi-source Auxiliary Learning Objectives
Temporal event reasoning is vital in modern information-driven applications operating on news articles, social media, financial reports, etc. Recent works train deep neural nets to infer temporal events and re...
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Chapter
Conclusions
We have provided a comprehensive introduction to knowledge graphs, which have been receiving more and more attention in recent years. Under the definition of a knowledge graph as a graph ofdata intended to accumu...
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Chapter
Introduction
Though the phrase “knowledge graph” has been used in the literature since at least 1972 [Schneider, 1973], the modern incarnation of the phrase stems from the 2012 announcement of the Google Knowledge Graph [S...
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Chapter
Quality Assessment
Independent of the (kinds of) source(s) from which a knowledge graph is created, the resulting initial knowledge graph will usually be incomplete, and will often contain duplicate, contradictory or even incorr...
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Chapter
Knowledge Graphs in Practice
In this chapter, we discuss some of the most prominent knowledge graphs that have emerged in the past years. We begin by discussing open knowledge graphs, most of which have been published on the Web per the g...
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Chapter
Creation and Enrichment
In this chapter, we discuss the principal techniques by which knowledge graphs can be created and subsequently enriched from diverse sources of legacy data that range from plain text to structured formats (and...
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Book
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Chapter
Schema, Identity, and Context
In this chapter we describe extensions of the data graph–relating to schema, identity, and context–that provide additional structures for accumulating knowledge. Henceforth, we refer to a data graph as a collecti...
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Chapter
Inductive Knowledge
While deductive knowledge is characterized by precise logical consequences, inductively acquiring knowledge involves generalizing patterns from a given set of input observations, which can then be used to gene...
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Chapter
Publication
While it may not always be desirable to publish knowledge graphs (for example, those that offer a competitive advantage to a company [Noy et al., 2019]), it maybe desirable or even required to publish other kn...
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Chapter and Conference Paper
Frozen CLIP Models are Efficient Video Learners
Video recognition has been dominated by the end-to-end learning paradigm – first initializing a video recognition model with weights of a pretrained image model and then conducting end-to-end training on video...
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Chapter
Data Graphs
At the foundation of any knowledge graph is the principle of first applying a graph abstraction to data, resulting in an initial data graph. We now discuss a selection of graph-structured data models that are ...
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Chapter
Deductive Knowledge
As humans, we can deduce more from the data graph of Figure 2.1 than what the edges explicitly indicate. We may deduce, for example, that the $${\rm{\...
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Article
Semantics-aware typographical choices via affective associations
With the tens of thousands of fonts that are now readily available, it is non-trivial to select the most suitable font for a given use case. Considering the impact of the choice of font on human perception of ...
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Article
Knowledge Fusion via Joint Tensor and Matrix Factorization
We consider the task of knowledge fusion, an important aspect of cognitive intelligence, with the goal of combining part-of knowledge drawn from different sources. For this, entities and relations are cast into m...
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Article
Multi-document semantic relation extraction for news analytics
Given the overwhelming amounts of information in our current 24/7 stream of new incoming articles, new techniques are needed to enable users to focus on just the key entities and concepts along with their rela...
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Chapter and Conference Paper
MR Environments Constructed for a Large Indoor Physical Space
To resolve the problem that existing mixed reality (MR) apparatus are unable to scan and model a large and complex indoor scene at once, we present a powerful toolkit for constructing MR environment easily. Ou...
