Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

We have been exploring the use of Web-derived knowledge bases through the development of Wikitology a hybrid knowledge base of structured and unstructured information extracted from Wikipedia augmented by RDF data from DBpedia and other Linked Open Data resources. In this paper, we describe approaches that aid in enriching Wikipedia and thus the resources that derive from Wikipedia such as the ...

Present kl-one-like knowledge base management systems (KBMS), whilst ooer-ing highly structured description languages aside eecient concepts classiication, have limited capability to manage large amounts of individuals. Data base management systems (DBMS) can, instead, manage large amounts of data eeciently, but give scarce formalism to organize them in a structured way, and to reason with them...

Knowledge base is the way to store structured and unstructured data throughout the web. Since the size of the web is increasing rapidly, there are huge needs to structure the knowledge in a fully automated way. However fully-automated knowledge-base evolution on the Semantic Web is a major challenges, although there are many ontology evolution techniques available. Therefore learning ontology a...

The paper describes an application of indexing—the technology currently widely used for processing and comparing textual information—to multi-dimensional entities of knowledge domains. We propose a model for building a frame-based ontology, which contains a domain conceptual model as well as a controlled vocabulary of “base terms” used for indexing. Further, the ontology constitutes the structu...

ed grammar 1 old grammar assumption markup abstracted grammar 2 parser documented grammar 2 parser document new grammar structured document example knowledge base example selection

Question answering requires access to a knowledge base to check facts and reason about information. Knowledge in the form of natural language text is easy to acquire, but difficult for automated reasoning. Highly-structured knowledge bases can facilitate reasoning, but are difficult to acquire. In this paper we explore tables as a semi-structured formalism that provides a balanced compromise to...

This paper presents an approach to Concept Analysis of structured, multivalued and incomplete data currently present in life science knowledge bases. We are concerned with tree structured objects, whose size may be variable. We focus on the composition relations between attributes in the learning process. The interest of the method is the ability to take into account both structural and value p...

Knowledge can often be represented using entities connected by relations. For example, the fact that tennis ball is round can be represented as “TennisBall HasShape Round”, where a “TennisBall” is one entity, “HasShape” is a relation and “Round” is another entity. A knowledge base is a way to store such structured information, a knowledge base stores triples of the “an entity-relation-an entity...

Many knowledge-based systems feature general machinery that operates on externally supplied information, These systems must solve the acquisition problem: how to represent the external knowledge, determine if it is adequate, and incorporate it into the knowledge base. As a mediator between users and interactive services, the Consul system must understand the intent and behavior of programs that...