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Dramatic growth of e-book sales revenue in recent years makes book recommendations essential to readers. Traditional bag-of-words models have difficulty of capturing the spatial information of terms over books. In this paper, a three-layer tree structure is used for representing each book. A framework, Tree2Vector, is designed for transforming tree-based book data into vectorial space. First, in order...
In the context of globalization and mass customization, product configurations are differentiated according to market requirements. This paper focuses on the primary challenge of developing a semantically rich product configuration representation that is amenable to automatic reasoning. We propose a Configuration Semantics Representation (CSR), a rule-based ontological formalism that is consistent...
In the biomedicine domain, a large number of papers are published every day, which is crucial to search for the relevant answers for the user's query. However, documents are not exactly what the users want. Instead, snippets, small segments from the documents, are more proper to meet the requirement of the users. Hence, this paper proposes a biomedical snippet retrieval framework to exactly locate...
To build a simple picture of M2M communication under service-oriented M2M architecture, a key innovation underlines the enablement of M2M device abstraction and semantics support. However, state of the art structures of M2M devices/software lack common M2M Service Layer for interoperability. Devices/software rely heavily on specific API implementation-oriented data services and the data definition...
In recent years, the E-commercial plays an important role in people's daily life. When on the Internet, people often buy commodities from Taobao, Tmall and make comments on them, the comments of the goods may have closely connections with commercial value, which often reflect what's the consumers really care when they choose one piece of good among thousands of other similar ones. How to mining these...
Semantic web service technologies have been proposed to enable automatic web service discovery and composition. But such approaches are suffered from significant effort to construct domain ontologies and to annotate web services with semantics by third parties. Hence social and collaborative tagging systems have been gaining the popularity on the web. Folksonomy-based web service annotating is emerging,...
With the rapid development of data collection methods and the digital Yellow River Project, the data resources of the Yellow River has been constantly accumulated. The data resources of Yellow River areautonomous, heterogeneous and dynamic. The problems encountered by the Yellow River Water Conservancy Commission is becoming increasingly prominent, such as resource sharing and exchange of the Yellow...
The aim of term semantic orientation analysis is to mine the sentiment polarity of words and phrases from their contexts. This paper presents a novel algorithm called Affinity Propagation to analyze semantic orientations of terms. Specifically, we build an informative graph from text corpus using an efficient Word Activation Force model and regard each term as a node in the graph. Then we propagate...
When the exploration scope of the robot is expanded to large regions, the problem becomes more prominent. In this paper, artificial labels are used to provide semantic concepts and relations of the surrounding, which can solve the complexity and limitations of semantic recognition and scene understanding only with robot's vision. Imitating spatial cognizing mechanism of human, the robot constantly...
At present, there are vast amounts of information and applications available in distributed environment with heterogeneous databases, how to find them is a crucial task. An ontology-driven approach is put forward to overcome semantic heterogeneity caused by synonyms and homonyms during keyword-based search in catalogues. An ontology has a key role to play in the development of a spatially aware search...
Sentence has a very prominent position in the research field of Natural Language Understanding. The task of sentence understanding includes two stages, sentence parsing and semantic processing. Sentence parsing resides in the fundamental level, while semantic understanding involves lexcial and higher discourse analysis. As sentence understanding has compact connections with human cognition, this paper...
Automated composition of web services is a crucial aspect of web services technology, which gives us the opportunity for selecting new services and best suits our needs at the moment. Doing this automatically would require us to compute our criteria for composing candidate services. In addition, there are challenging issues of correctness and optimality. A framework is designed in this paper represent...
With the increasing demand for dynamic web service composition, traditional web service registries are no longer adequate in providing precise service selection. To address this problem, the paper proposes a fine-grain structural concept for traditional service registries, called web service community. Efficient semantic-level service enquiry and community management depend on context information...
Collaborative filtering techniques are currently being successfully used in personalized recommendation system, in order to obtain more accurate information for users, this paper constructs domain ontology, utilizing the mapping of domain ontology and the concept in user interest ontology, constructs users interest ontology, explores user interest model, and then produce recommendation based on the...
This paper presents the research on semantics construction for virtual assembly. The reason is that the existing assembly systems are short of understanding of the user's intents and cannot well support 3-dimensional direct manipulations. The method of discretizing and temporalizing the virtual assembly space and behaviors are put forward, and the semantic elements are analyzed. The practices shows...
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