Meta Data Services

About: Meta Data Services is a research topic. Over the lifetime, 2564 publications have been published within this topic receiving 40102 citations.

A match‐making system for learners and learning objects

Abstract: We have proposed and implemented AgentMatcher, an architecture for match‐making in e‐Business applications. It uses arc‐labeled and arc‐weighted trees to match buyers and sellers via our novel similarity algorithm. This paper adapts the architecture for match‐making between learners and learning objects (LOs). It uses the Canadian Learning Object Metadata (CanLOM) repository of the eduSource e‐Learning project. Through AgentMatcher’s new indexing component, known as Learning Object Metadata Generator (LOMGen), metadata is extracted from HTML LOs for use in CanLOM. LOMGen semi‐automatically generates the LO metadata by combining a word frequency count and dictionary lookup. A subset of these metadata terms can be selected from a query interface, which permits adjustment of weights that express user preferences. Web‐based pre‐filtering is then performed over the CanLOM metadata kept in a relational database. Using an XSLT (Extensible Stylesheet Language Transformations) translator, the pre‐filtered result is transformed into an XML representation, called Weighted Object‐Oriented (WOO) RuleML (Rule Markup Language). This is compared to the WOO RuleML representation obtained from the query interface by AgentMatcher’s core Similarity Engine. The final result is presented as a ranked LO list with a user‐specified threshold.

Method and system for creating a document having metadata

Abstract: The present application describes systems and methods for creating a document having metadata using a pointing device such as a digital pen. In one configuration, a digital pen captures pen stroke data and processes that data to determine metadata that the pen then writes to metadata storage located on the document.

System and method for managing metadata and data search method using metadata

Abstract: Information management system on the WWW for improving the compatibility of metadata on the WWW, locally managing metadata, which is dispersed, in a manner facilitating search, and thus improving efficiency and precision in search. Domain administration servers are included for acquiring metadata, which is dispersedly saved in servers interconnected over a computer network, from associated managing domains. Each domain administration server includes a metadata management database in which acquired data is recorded, and a search engine that searches the database. The search engine searches the database in response to a query that specifies as known data an identifier, that is, a URI of a resource and an attribute name of the resource, and returns an attribute value as the result of search.

Metadata driven customization of a software-implemented business process

Abstract: A method of facilitating customization of a software-implemented business process includes storing, within a mobile computing device, a subscription list of entities. The subscription list being defined by subscription metadata. Customized data is received. The customized data corresponds to the entities identified in the subscription list. The received customized metadata is stored on the mobile computing device.

Metadata Traces and Workload Models for Evaluating Big Storage Systems

Abstract: Efficient namespace metadata management is increasingly important as next-generation file systems are designed for peta and exascales. New schemes have been proposed, however, their evaluation has been insufficient due to a lack of appropriate namespace metadata traces. Specifically, no Big Data storage system metadata trace is publicly available and existing ones are a poor replacement. We studied publicly available traces and one Big Data trace from Yahoo! and note some of the differences and their implications to metadata management studies. We discuss the insufficiency of existing evaluation approaches and present a first step towards a statistical metadata workload model that can capture the relevant characteristics of a workload and is suitable for synthetic workload generation. We describe Mimesis, a synthetic workload generator, and evaluate its usefulness through a case study in a least recently used metadata cache for the Hadoop Distributed File System. Simulation results show that the traces generated by Mimesis mimic the original workload and can be used in place of the real trace providing accurate results.