Finding Educational Resources on the Web: Exploiting Automatic Extraction of Metadata
نویسندگان
چکیده
Searching for educational resources on the web would be greatly facilitated by the availability of classificatory metadata, but most web educational resources put up by faculty members provide no such metadata. We explore using text classification and information extraction techniques to automatically gather such metadata. Text classifications orthogonal to topic matter appear possible with high (> 90%) accuracy, and exact-match information extraction has an F measure around 50%.
منابع مشابه
Metadata Extraction and Harvesting: A Comparison of Two Automatic Metadata Generation Applications
This research explores the capabilities of two Dublin Core automatic metadata generation applications, Klarity and DC.dot. The top level Web page for each resource, from a sample of 29 resources obtained from National Institute of Environmental Health Sciences (NIEHS), was submitted to both generators. Results indicate that extraction processing algorithms can contribute to useful automatic met...
متن کاملExploring the Value of Folksonomies for Creating Semantic Metadata
Finding good keywords to describe resources is an on-going problem. Typically, we select such words manually from a thesaurus of terms, or they are created using automatic keyword extraction techniques. Folksonomies are an increasingly well-populated source of unstructured tags describing Web resources. This article explores the value of the folksonomy tags as a potential source of keyword meta...
متن کاملMetadata Enrichment for Automatic Data Entry Based on Relational Data Models
The idea of automatic generation of data entry forms based on data relational models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods in software development accompanying development of programming tools. One of the requirements of the automation methods, whether in commercial products or the relevant research projects, ...
متن کاملInvestigating the Effect of Users’ Tagging Motivation on the Digital Educational Resources Metadata Descriptions
Over the past years, several Open Educational Resources (OERs) initiatives have been emerged worldwide aiming to create, share and reuse digital educational resources among educational communities. As a result, organizing, offering and accessing these resources over the web have been key issues for both the research and the educational community. Traditionally, a popular way for characterizing ...
متن کاملMetadata Extraction from Bibliographies Using Bigram HMM
In recent years, we have seen huge volumes of research papers available on the World Wide Web. Metadata provides a good approach for organizing and retrieving these useful resources. Accordingly, automatic extraction of metadata from these papers and their bibliographies is meaningful and has been widely studied. In this paper, we utilize a bigram HMM (Hidden Markov Model) for automatic extract...
متن کامل