The expansive globalization of the semiconductor supply chain has introduced numerous
untrusted entities into different stages of a device's lifecycle, enabling them to compromise …

The expansive globalization of the semiconductor supply chain has introduced numerous
untrusted entities into different stages of a device's lifecycle. To make matters worse, the …

Joint inference is a fundamental issue in the field of artificial intelligence. The greatest
advantage of the joint inference is demonstrated by its capability of avoiding errors from …

To meet customers' pressing demands, enterprise database vendors have been pushing
advanced analytical techniques into databases. Most major DBMSes use user-defined …

This paper proposes the method of Ontology Based Concept Hierarchy Extraction of Web
Data. This helps to extract Concept Hierarchy efficient way for ontology construction. It is …

In recent years, the Markov Logic Network (MLN) has emerged as a powerful tool for
knowledge-based inference due to its ability to combine first-order logic inference and …

Ontologies play an important role in knowledge Management like annotating web resources,
web mining and other internet related applications. Since the manual construction of a high …

Typically, inference algorithms for big data address non-relational data. However, clearly, a
lot of real-world data such as social network data, healthcare data, etc. are relational in …

The Défi fouille de textes (DEFT) 2013 focuses on the automatic processing of cooking
recipes in French, a topic that has already been the subject of an evaluation campaign …

Markov Logic is an expressive and widely used knowledge representation formalism that
combines logic and probabilities, providing a powerful framework for inference and learning …