Over the past decade, e-Commerce has rapidly grown enabling customers to purchase products with the click of a button. But to be able to do so, one has to understand the semantics of a user query and identify that in digital lifestyle tv, digital lifestyle is a brand and tv is a product. In this paper, we develop a series of structured prediction algorithms for semantic tagging of shopping quer...

Understanding natural language questions and converting them into structured queries have been considered as a crucial way to help users access large scale structured knowledge bases. However, the task usually involves two main challenges: recognizing users’ query intention and mapping the involved semantic items against a given knowledge base (KB). In this paper, we propose an efficient pipeli...

The DBpedia project extracts structured information from Wikipedia editions in 97 different languages and combines this information into a large multi-lingual knowledge base covering many specific domains and general world knowledge. The knowledge base contains textual descriptions (titles and abstracts) of concepts in up to 97 languages. It also contains structured knowledge that has been extr...

A couple of semantic wikis have been proposed to serve as collaborative knowledge engineering environments – however, the knowledge of almost all systems is currently based on the expressiveness of OWL (Lite/DL). In this paper we present the concept of a semantic knowledge wiki that extends the capabilities of semantic wikis by strong problem-solving methods. We show how problem-solving knowled...

The paper starts with a discussion of the roles an organizational memory (OM) should play and what kind of knowledge should go into it. We then identify two kinds of integration problems. The rst one is concerned with integrating the knowledge bases of diierent knowledge-based systems employed in an organization into one physically or virtually uniied knowledge base which is to be considered as...

This paper examines the problem of extracting structured knowledge from unstructured free text. The extraction process is modeled after construction grammars, essentially providing a means of putting together form and meaning. The knowledge base is not simply treated as a destination, but also an important partner in the extraction process. In particular, the ideas are implemented as a module c...

Knowledge bases are in widespread use for aiding tasks such as information extraction and information retrieval, for example in Web search. However, knowledge bases are known to be inherently incomplete, where in particular tail entities and properties are under-represented. As a complimentary data source, embedded entity markup based on Microdata, RDFa, and Microformats have become prevalent o...