In recent years, many private corporations and government organizations have digitized corpuses of legacy paper documents. Often, these organizations hope to take advantage of digital representations to transform costly manual tasks associated with paper archives into less-costly computer-assisted tasks. The most common approach toward automated information extraction is through inverted indexi...

The paper proposes an approach to building semantic knowledge for home energy saving, which appears to be main Internet of Things application. Description logic is used to formalize knowledge base representation. Service modelling is considered as a kind of knowledge management which allows reasoning and resolving service interaction. Keywords— Internet of Things, Home automation, Semantic Info...

This paper examines the differences between author generated keywords and automatically generated keywords in one area of scientific and technical literature. Using inverse frequency, keywords produced using both methods are examined using a maximum likelihood algorithm. By reducing the scope and size of the corpus of literature examined, this study more closely emulates the information gatheri...

The problem of generating headlines for documents using purely statistical approach has been long standing. We describe here an improved extractive approach based on keywords. The insight here is that if one tries to summarize a document, one will invariably use keywords from the document itself. There are two aspects to the problem namely, finding the relevant set of keywords and finding the p...

This paper discusses the important process of knowledge and its management, and differences between tacit and explicit knowledge and understanding the culture as a key issue for the successful implementation of knowledge management, in addition to, this paper is concerned with the four-stage model for the evolution of information technology (IT) support for knowledge management in law firms. Ke...

In recent years, knowledge graphs such as Freebase that capture facts about entities and relationships between them have been used actively for answering factoid questions. In this paper, we explore the problem of automatically generating question answer pairs from a given knowledge graph. The generated question answer (QA) pairs can be used in several downstream applications. For example, they...

Data mining systems semi-automatically discover knowledge by mining a large volume of data, but discovered knowledge is not always novel to users. We discuss a discovered rule filtering method to filter rules discovered by a data mining system into ones that are novel to the user by using information retrieval results from the Internet. We have two methods; the micro view and the macro view met...

The process of text categorization involves some understanding of the content of the documents and/or some previous knowledge of the categories. For the content of the documents, we use a filtering measure for feature selection in our Chinese text categorization system. We modify the formula of Term Frequency-Inverse Document Frequency (TF-IDF) to strengthen important keywords’ weights and weak...