Tree-structured data are abundant today, ranging from Bioinformatics suffix-tree alignments, to multi-resolution video, to directory-file hierarchies, to XML. The storage techniques employed by systems that manage tree-structured data greatly affect their performance. Current approaches either map the tree data to an underlying relational database system, or use the abstraction provided by a ge...

We propose using the human body for “storing” data used in devices for the imminent ubiquitous computing era. In the future, people will use information appliances as powerful creativity tools, using them for taking pictures, recording ideas, and recording voices. Removable medium are now widely used with such devices to record the data. However, data stored on a physical medium is troublesome ...

An accurate retrieval system is essential to the performance of any case-based reasoning (CBR) system. This paper describes a new retrieval method in which both feature similarity and adaptation knowledge are used to guide retrieval. A system can only improve its performance by learning and CBR systems learn mainly by storing newly adapted cases. The system has better opportunities to learn use...

Summary Biological Expression Language (BEL) assembles knowledge networks from biological relations across multiple modes and scales. Here, we present PyBEL; a software package for parsing, validating, converting, storing, querying, and visualizing networks encoded in BEL. Availability and implementation PyBEL is implemented in platform-independent, universal Python code. Its source is distri...

This paper proposes an ontology which enables fuzzy data to be defined in order to conceptualize them and to represent another type of information. The Fuzzy Knowledge Representation Ontology described is based on the fuzzy data theoretical model, and a method for classifying both classical and fuzzy data is proposed. This ontology defines a framework for storing fuzzy information in fuzzy data...

Virtual learning communities encourage members to learn and contribute knowledge. However, knowledge sharing requires mutual-trust collaboration between learners and the contribution of quality knowledge. This task cannot be accomplished by simply storing learning content in repositories. It requires a mechanism to help learners find relevant learning content as well as knowledgeable collaborat...

This paper tries to provide a new view on the currently vastly discussed and successfully employed concept of a Data Warehouse. This view presents it in the light of Knowledge Management, i.e. a Data Warehouse can serve as a storage medium for keeping the corporate memory, or at least concerning certain types of data. It helps gaining new knowledge by delivering well integrated data to analysis...

The integration of databases and knowledge bases has become the purpose of many new AI technologies such as Intelligent Databases, Knowledge Base Management Systems, and Expert Database Systems. Object orientation has long been recognized as an appropriate approach for achieving the integration of data and knowledge management. This paper presents an objectoriented model for representing, stori...

Scientific domains are characterized by substantial amounts of complex data, many unknowns, lack of complete theories, and rapid evolution. In many areas of decision making, much of the reasoning process is based on experience rather than on general knowledge. Experts remember positive cases for possible reuse of solutions, but negative cases are also useful for avoiding potentially unsuccessfu...

Both food-storing behaviour and the hippocampus change annually in food-storing birds. Food storing increases substantially in autumn and winter in chickadees and tits, jays and nutcrackers and nuthatches. The total size of the chickadee hippocampus increases in autumn and winter as does the rate of hippocampal neurogenesis. The hippocampus is necessary for accurate cache retrieval in food-stor...