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One of the most crucial problems in any Natural Language Processing (NLP) task is the representation of time. This includes applications such as Information Retrieval techniques (IR), Information Extraction (IE) and Question/answering systems (QA). This paper deals with temporal information involving several forms of inference in Arabic language.
In today's world, the amount of stored information has been enormously increasing day by day which is generally in the unstructured form and cannot be used for any processing to extract useful information, so several techniques such as summarization, classification, clustering, information extraction and visualization are available for the same which comes under the category of text mining. Text Mining...
Knowledge discovery from the Web is a cyclic process. In this paper we focus on the important part of transforming unstructured information from Web pages into structured relations. Relation extraction systems capture information from natural language text on Web pages, called Web text. However, extraction is quite costly and time consuming. Worse, many Web pages may not contain a textual representation...
With the rapid use of the internet into users' daily lives, it is imperative to capture location-specific information from local database to satisfy the user's local information needs [context]. This is especially true in the increasingly local search environments. There are a number of local Web search engines enabling users to find information which is location specific Web content. In this aspect...
The following topics are dealt with : computer architecture; data intensive and I/O computing; algorithm and application; P2P computing; service-oriented architecture; cluster computing; grid computing; cloud computing; performance evaluation; compilers and language; information retrieval; knowledge discovery; OS/resource management; wireless networks; and pervasive computing.
Collaborative tagging has emerged as a popular and effective method for organizing and describing pages on the Web. We present Treelicious, a system that allows hierarchical navigation of tagged web pages. Our system enriches the navigational capabilities of standard tagging systems, which typically exploit only popularity and co-occurrence data. We describe a prototype that leverages the Wikipedia...
Mining web access sequences can discover very useful knowledge from web logs with broad applications. By considering non-binary occurrences of web pages as internal utilities in web access sequences, e.g., time spent by each user in a web page, more realistic information can be extracted. However, the existing utility-based approach has many limitations such as considering only forward references...
As the number of online students has been growing significantly for the last couple of years, generic Web Information Retrieval methods have either maintained an emphasis on serving the general population, or have been lagging in integrating the power of adaptive semantics and personalization via knowledge discovery into real-life working E-learning applications. This paper is devoted to the implementation...
Blogs-Online digital diary like application on web 2.0 has opened new and easy way to voice opinion, thoughts, and like-dislike of every Internet user to the World. Blogosphere has no doubt the largest user-generated content repository full of knowledge. The potential of this knowledge is still to be explored. Knowledge discovery from this new genre is quite difficult and challenging as it is totally...
With the rapid growth in business size, todaypsilas businesses orient towards electronic technologies. Unfortunately the enormous size and hugely unstructured data on the Web. Extracting valuable information from such an ever-increasing data is an extremely tedious task towards the success of businesses. Web content mining can play a major role in solving these issues and application of Web content...
This article has provided a brief overview of how the marriage of speech and language technologies with the Web is changing the way people communicate and access information. Advances are happening at a rapid pace through improved algorithms, wider penetration of the Web, availability of data, and faster computing. As the Web continues to evolve, research initiatives need to continue to address difficult...
Data mining and knowledge discovery in databases are important research areas that investigate the automatic extraction of previously unknown patterns from large amounts of data. The field connects the three worlds of databases, artificial intelligence and statistics. However, the usefulness of this data is negligible if meaningful information or knowledge cannot be extracted from it. Data mining...
The large size and the dynamic nature of the Web highlight the need for continuous support and updating of Web based information retrieval systems. Crawlers facilitate the process by following the hyperlinks in Web pages to automatically download a partial snapshot of the Web. This paper describes some details about the architecture of a fully implemented a multiagent Web search system I-Spider for...
The following topics are dealt with: intelligent agents and ontologies; data mining, knowledge discovery and decision making; intelligent systems; Web technologies and Web services; virtual reality and games; image processing and image understanding techniques; adaptive control and automation; modelling, prediction and control; multi-agent systems and computational intelligence; agent systems, personal...
The following topics are dealt with: distributed systems; Web services; data security; fault tolerance; multimedia system; grid computing; mobile computing; peer-to-peer computing; query processing; knowledge representation; knowledge acquisition; knowledge discovery; data mining; information retrieval; business process monitoring; database mobility
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