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Several approaches to educational web-based content enrichment have been devised. Annotations in form of comments and other types of remarks obviously supply these approaches. Annotations allow enriching the educational materials mainly by retaining key information or comments; they can support visual search and also collaboration. In this paper we present a method for an acquisition of new educational...
This paper presents a new method to acquire domain-ontology relations from semi-structured data sources. First, obtain Web documents according to the co-occurrence of concept instance and attribute value. Further, define formats of relation patterns, and extract pattern instances from Web documents, including pattern clustering and pattern combining in each cluster. Finally, relation pattern instances...
We present LAIR: A domain-specific language that enables users to specify actions to be taken upon meeting specific semantic frames in a text, in particular to rephrase and redact the textual content. While LAIR presupposes superficial knowledge of frames and frame semantics, it requires only limited prior programming experience. It neither contain scripting or I/O primitives, nor does it contain...
With Internet growing exponentially, data mining in the web becomes the main method to find relevant information. With the amount of web sites and documents growing even faster and site contents getting updated more and more often, focused web crawler is becoming more and more popular. In the literature, how to order the unvisited URLs was studied deeply, they calculate the prediction score is based...
Link context is a beneficial complement to the anchor text when we predict the topic of the target Web page. In this paper, we have defined the link context of the anchor text as a word set in which each word has dependency relationship with it. We have proposed an effective method for the extraction of the link context. Firstly, we have decomposed the whole sentence into some sub-clauses through...
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