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In this paper, we present ICN-FC, which is an Information-Centric Networking (ICN) based framework for efficient functional chaining (FC). The key enabling techniques for ICN-FC includes naming semantics, Interest & Data processing and an efficient FC forwarding strategy. By using the proposed solutions, a functional chaining request, which consists of the name of raw data and an ordered set of...
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...
With the incredibly growing amount of image data uploaded and shared via the internet, recommender systems have become an important necessity to ease users' burden on the information overload. Existing image recommendation systems are designed for discovering the most relevant images with a given query image or short query composed by a few words. However, none of them considers deal with long query,...
E-commerce applications is a typical scale collaborative application, which includes many complex trading processes and small applications, such as portals of buyers and sellers, product management, online payment and billing, logistics system, and so on. But it is a challenge to develop such large-scale collaborative application using traditional method starting from scratch, since many application...
Analyzing and researching microblog text and microblog context, we propose a Chinese microblog's semantic expansion model based on specific context. Firstly, on the basis of analysis of microblog type, microblogs are classified into six categories: information-publish microblogs, journaling microblogs, sharing microblogs, forwarding microblogs, commentary microblogs and interactive microblogs. For...
Semantic relations acquisition is a crucial work in the field of knowledge acquisition. This paper presents a method that acquires semantic relation patterns from large microblog text. It initially analyzes the characteristic of microblog text, and give an algorithm of acquire patterns semi-automatically. Semantic relations are extracted from microblog corpus based on concept recognition and pattern...
Qualitative geographic information retrieval (QGIR) is proposed in this paper. It is semantic matching oriented and based on the qualitative representation. Qualitative reasoning is used to get the relevance between documents and queries. Compared to the traditional geographic information retrieval (GIR), QGIR uses qualitative representation for both themes and place names. Semantic spatial relationships...
Sentence similarity computing based on the “HowNet” usually treats the optimal matches between the primitives or words as the basic computing unit, and the final results can be got through the weighted sum model. However, this approach often results in the information duplication and the irrational construction. For such problems, this paper calculates the similarity of sets through the statistics...
In service-oriented environments (e.g. Cloud Computing or Utility Computing), automated service discovery is crucial to enable self-organizing technical components that are able to discover and consume services autonomously. To this end, precise and robust service discovery algorithms are desirable. In this paper, we propose an approach combining both syntactic and semantic search to increase accuracy...
The calculation of semantic similarity is a key point in Chinese information processing. This paper presents a new method for calculating semantic similarity between two words. Different from previous methods, this paper focuses on the perspective of connotations, trying to highlight the essential attributes of words by which we can get the similarity value in words' conceptual level. Firstly, we...
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