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As more and more learners are opting for onlinelearning, e-learning industry is working on improving learningexperience of online user by providing relevant content and lotof additional references. Since online learners mostly prefervideo tutorials, identifying major topics and subtopics coveredin video tutorial is a big challenge. Recently, for efficientknowledge sharing and interoperability over...
Many web resources require an accurate representation of family relationships. However, available ontologies describing this kind of relationships provide only simple and rudimentary representations. In addition, the transition from one culture/language to another cannot be solved with simple translation solutions, specifically when concepts do not intersect in different cultures. In this paper, we...
WioNA (Wikipedia Ontology NAo) is proposed to build much better HRI by integrating four elements: Japanese speech interface, semantic interpretation, Japanese Wikipedia Ontology and Robot Action Ontology. WioNA is implemented on a humanoid robot “Nao”. In WioNA, we developed two ontologies: Japanese Wikipedia Ontology and Robot Action Ontology. Japanese Wikipedia Ontology has a large size of concept...
Term suggestion techniques recommend query terms to a user based on his initial query. Providing adequate term suggestions is a challenging task. Most existing commercial search engines suggest search terms based on the frequency of prior used terms that match the first few letters typed by the user. We present a novel mechanism to construct semantic term-relation graphs to suggest semantically relevant...
Social bookmarking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures aka folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics...
The emergence of an ever increasing number of documents makes it more and more difficult to locate them when desired. An approach for improving search results is to make use of user-generated tags. This approach has led to improvements. However, they are limited because tags are (1) free from context and form, (2) user generated, (3) used for purposes other than description, and (4) often ambiguous...
The use of folksonomies involves several problems due to its lack of semantics associated with them. The nature of these structures makes difficult the process to enrich them semantically by the association of meaningful terms of the Semantic Web. This task implies a phase of disambiguation and another of expansion of the initial tagset, returning an increased contextualised set where synonyms, hyperonyms,...
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...
Ontologies are an important part of the Semantic Web as well as of many intelligent systems. However, the traditional expert-driven development of ontologies is time-consuming and often results in incomplete and inappropriate ontologies. In addition, since ontology evolution is not controlled by end users, it may take too long for a conceptual change in the domain to be reflected in the ontology....
We present an interactive, exoteric semantic knowledge base, which integrates HowNet and the online encyclopedia Wikipedia. The semantic knowledge base mainly builds on items, categories, attributes and relation between. In the constructing process, a mapping relationship is established from HowNet, Wikipedia to the new knowledge base. Different from other online encyclopedias or knowledge dictionaries,...
Relation annotation (RA) is a process of marking up relations among a set of entities identified from a plain text. RA is important to enterprise applications due to its capability of revealing semantics in business environments. However, RA in business environment is different from that in news domain because the entities involved in the relations in business domain often not just refer to entities...
We present a methodology for extraction of semantic indexes related to a given geo-referenced place. These lists of words correspond to the concepts that should be semantically related to that place, according to a number of perspectives. Each perspective is provided by a different online resource, namely upcoming.org, Flickr, Wikipedia or open Web search (using Yahoo! search engine). We describe...
Knowledge Management (KM) is one of the hottest Internet challenges influencing the design and the architecture of the infrastructures that will be accessed by the future generation. In this paper, we bridge KM to philosophical theories to quest a theoretical foundation for the discussion, today utterly exciting, about Web's semantics. The man has always tried to organise the knowledge he gained,...
A major component in any Web personalization system is its user model. Recently a number of researches have been done to incorporate semantics of a Web site in representation of its users. All of these efforts use either a specific manually constructed taxonomy or ontology or a general purpose one like WordNet to map page views into semantic elements. However, building a hierarchy of concepts manually...
In recent years automatic ontology population (OP) from texts has emerged as a new field of application for knowledge acquisition techniques. In OP, the instances of an ontology classes will be extracted from text and added under the ontology concepts. On the other hand, semantic annotation which is a key task in moving toward semantic Web tries to tag instance data in a text by their corresponding...
News@hand is a news recommender system that makes use of semantic technologies to provide several on-line news recommendation services. News contents and user preferences are described in terms of concepts appearing in a set of domain ontologies. Based on the similarities between item descriptions and user profiles, and the se-mantic relations between concepts, content-based and collaborative recommendation...
The Linking Open Data community project is extending the Web by encouraging the creation of interlinks (RDF links between data items from different datasets identified using dereferenceable URIs). This emerging Web of linked data is closely intertwined with the existing Web, since structured data items can be embedded into Web documents (e.g., RDFa or microformat encoded data), and RDF links can reference...
Wikipedia is nowadays one of the most valuable information resources; nevertheless, its current structure, which has no formal organization, does not allow to always have a useful browsing among topics. Moreover, even though most Wikipedia pages include a "See Also" section for navigating through those articles' related Wikipedia pages, the only references included here are those which authors...
This paper describes a way of improving search engine results conceptual reorganization that uses formal concept analysis. This is done by using redirections to solve conceptual redundancies and by adding preliminary disambiguation and expanding the concept lattice with extra navigation nodes based on Wikipediapsilas ontology and strong conceptual links.
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