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Health related Question Answering (QA) systems have proven to be useful to patients. However, most of the QA systems focus on improving system performance against a standard set of questions, but neglect the problem of designing effective user interfaces. We build a health QA with enhanced user interface which includes three formats – single answer, list of fragments and combination of fragments....
Semantic web technology can influence the next generation of eLearning systems and applications. Ontology as a major component of semantic web can be used in creating metadata for eLearning resources to improve adaptive eLearning systems. This paper presents an approach to automatically enrich eLearning domain ontology based on the integration of graph clustering techniques and external knowledge...
Choice-based future Internet architectures, in which choice is offered for fine-grained network services to different traffic flows, have been proposed in the literature. Such choice-based architectures have been envisioned in literature as realizing an economy of networking services that can give rise to a beneficial ecosystem of providers and consumers over time. Such an architecture would use an...
Filling the gap between natural language expressions and ontology concepts or properties is the new trend in Semantic Web. Ontology lexicalization introduces a new layer of lexical information for ontology properties and concepts. We propose a method based on unsupervised learning for the extraction of the potential lexical expressions of DBpedia propertiesfrom Wikipedia text corpus. It is a resource-driven...
Social Information Retrieval can be interpreted as querying the private information spaces of others within one's social network. One of the crucial steps in such a search approach is to identify the set of potential information providers to route the query to. In this experiment, we compare various routing mechanisms based on topic models (Latent Dirichlet Allocation, LDA), Explicit Semantic Analysis...
We evaluate the suitability of latent and explicit semantic spaces of documents for Information Retrieval (IR) tasks using a dataset obtained from the Q&A community Stackexchange. In addition, the ability of the latent semantic spaces to reconstruct human relevance judgments is explored. The latent semantic spaces are generated with Latent Dirichlet Allocation (LDA), while explicit semantic spaces...
Zero shot learning (ZSL) provides a solution to recognising unseen classes without class labelled data for model learning. Most ZSL methods aim to learn a mapping from a visual feature space to a semantic embedding space, e.g. attribute or word vector spaces. The use of word vector space is particularly attractive as compared to attribute, it offers vast auxiliary classes with free parts embedding...
With the rise of the three course provider including Coursera, Udacity and edX in US in 2012, massive open online courses(MOOC), as a new mode of education, boomed a wave of online higher education and swept quickly across the world. MOOC platforms, with a wide range of audience, high quality of curriculum, flexible teaching methods and rich teaching resources, are more and more popular in students...
With the development of science, people's demand for the technique of query is gradually increased. Especially, the emergency of new terms proposed more demand for query techniques. Therefore, the accuracy of semantic similarity calculation is more important in searching of terms. Now, the hybrid semantic similarity calculation method has been more popular. However, when the expert calculates the...
Quantifying the semantic relation between words is a key element in several applications including the treatments at the meaning level. A great variety of approaches are proposed in order to quantify the semantic proximity between concepts or words. These approaches exploit computational models including the hierarchical and textual information of the semantic resources. Among these models, the distributional...
This paper mainly introduces the basic functions of DNS, and its usage for mapping service in the Identifier Locator Split (ILS) schemes, as one transitionally functional component in future network architecture. As well known, the overloaded semantics of IP address, being used for both endpoint identifier and routing locator in traditional internet, has hindered the smooth support for mobility of...
GSM is a mobile technology that allows people to communicate with one another. The technology enables people to call others over the phone with a GSM number and a certain tariff for communication. An interpersonal GSM network is established by means of calls and text messages. This paper proposes an approach to recommend optimal tariffs to GSM users to maximize the total utility of individuals in...
Semantic relation plays an important role in knowledge acquisition research. This paper proposes a method of semantic relation acquisition and automatic synthesis based on Wikipedia. First of all, we obtain the three kinds of basic semantic relations from Wikipedia and extend the semantic of concept aiming at the problem of semantic fuzziness in the semantic relation. Then, an automatic synthesis...
Today, E-Commerce has become the largest revenue generation industry, letting seller sell everything from a pen to plane to the customers across the globe. Over an E-commerce platform where user and vendor merely interact with each other, the trust is undeniably the most important factor for users to perform transactions online. But at the same time it can't be assessed directly using some pre-defined...
User-contributed content on the Internet has been growing at an extraordinary pace. Ranking vast amounts of such content, such as digital photographs, is handled well through user-driven ranking. It helps speeding up the ranking process while reflecting the opinions of the community. However, user-driven ranking can be often subjective and difficult to compare. We solve this using a well-known mathematical...
Online Public Opinion Systems (OPOS) target at collecting, analyzing, summarizing and monitoring massive public opinions on the Internet in real time. Meanwhile, OPOS often have the ability to identify the key or sudden events, and thus notify related people immediately for rapid responses to these events. As part of this endeavor, this paper introduces the architecture and techniques of an OPOS that...
This paper proposes an approach to finding answers within single text for a given question through extracting a network of categories from Wikipedia as background knowledge to support matching between question and answer. Experiments show that the approach is effective for keyword-based QA.
People's attitude towards specific events is usually contained in their Internet speech. When monitoring public opinions on the Internet, the sentiments of social media users should be analyzed in real time. For example, the expression of target user should be analyzed to get his/her emotional changing trend. However, present literatures on text sentiment analysis are limited to specific domains and...
The lasting popularity of many social Q&A websites, such as Yahoo! Answers and ResearchGate, has become valuable knowledge repositories for people to search for answers to questions in various aspects in life. Finding the most relevant questions is often a non-trivial task, and a fine-grained classification system of questions will be an important aid. Existing work mainly focused on classifying...
The characteristic of poor information of short text often makes the effect of traditional keywords extraction not as good as expected. In this paper, we propose a graph-based ranking algorithm by exploiting Wikipedia as an external knowledge base for short text keywords extraction. To overcome the shortcoming of poor information of short text, we introduce the Wikipedia to enrich the short text....
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