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Word Sense Disambiguation (WSD) is main task in the area of natural language processing (NLP). Supervised WSD methods are shown to be more effective than other WSD methods with the limitation of the size of manual annotated learning set. On the other hand, Concept graph is a weighted graph with each of its edges representing the relationships between concepts (relevancy of each pair of concepts)....
Semantic Web applications meet a serious problem in practice: the shortage of semantic data (ontologies). Since the vast majority of data are still stored in relational databases, they are unavailable for the most next generation Web applications, such as Semantic Digital Libraries. Therefore, it becomes one of core challenges of Semantic Web whether applications can automatically retrieve semantic...
This paper presents a soft information fusion framework for creating a propositional graph from natural language messages with an emphasis on producing these graphs for fusion with other messages. The framework utilizes artificial intelligence techniques from natural language understanding, knowledge representation, and information retrieval.
The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents. As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining. In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between...
Focused Web crawler collects relevant Web pages of interested topics from the Internet. Most searchers have studied strategy based on an initial model to gather as many relevant Web pages as possible in the focused Web crawling. However, Web information continually change over time, the initial model representing outdated information canpsilat reflect userpsilas interested topics rightly. In this...
Term weighting is a core idea behind any information retrieval technique which has crucial importance in document ranking. In graph based ranking algorithm, terms within a document are represented as a graph of that document. Term weights for information retrieval are estimated using termpsilas co-occurrence as a measure of term dependency between them. The weight of vertex in the document graph is...
When searching information a first and crucial step is query formulation. However it is a difficult task for users. This paper introduces a new approach to help users formulating their queries. It proposes to benefit from past search experiences to help users when formulating queries. The user can incrementally construct his query visualizing how other users have carried out searches with the terms...
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