In this paper, we introduce a mobile services environment, namely SMOP, in which semantic web based service capability matching and locationaware information gathering are both used to develop mobile applications. Domain independency and support on semantic matching in mobile service capabilities are the innovative features of the proposed environment. Built-in semantic matching engine of the e...

We view matching as an operation that takes two graph-like structures (e.g., lightweight ontologies) and produces an alignment between the nodes of these graphs that correspond semantically to each other. Semantic matching is based on two ideas: (i) we discover an alignment by computing semantic relations (e.g., equivalence, more general); (ii) we determine semantic relations by analyzing the m...

We present in this paper the systems we participated with in the Semantic Textual Similarity task at SEM 2013. The Semantic Textual Similarity Core task (STS) computes the degree of semantic equivalence between two sentences where the participant systems will be compared to the manual scores, which range from 5 (semantic equivalence) to 0 (no relation). We combined multiple text similarity meas...

Interoperability has gained in importance and become an essential issue within the Semantic Web community. The more standardized and widespread the data manipulation tools are, the easier and more attractive using the Semantic Web approach has become. Though Semantic Web technologies can support the unambiguous identification of concepts and formally describe relationships between concepts, the...

This chapter studies ontology matching : the problem of finding the semantic mappings between two given ontologies. This problem lies at the heart of numerous information processing applications. Virtually any application that involves multiple ontologies must establish semantic mappings among them, to ensure interoperability. Examples of such applications arise in myriad domains, including e-c...

As the Internet Web services increased, how to find a web service which can meet user's requirements quickly and accurately has become a problem to be solved .Now many kinds of web service methods based on semantic are based IO matching .They used other ways to supplement while semantic matching is failed. However the accuracy of semantic web service discovery based on IO matching purely is not...

This paper presents the alignment results of Lily for the ontology alignment contest OAEI 2008. Lily is an ontology mapping system, and it has four main features: generic ontology matching, large scale ontology matching, semantic ontology matching and mapping debugging. In the past year, Lily has been improved greatly for both function and performance. In OAEI 2008, Lily submited the results fo...

The lack of semantics in WS-SecurityPolicy (WS-SP) hampers the effectiveness of matching the compatibility between WS-SP assertions. To resolve this problem, we present in this paper a semantic approach for specifying and matching the security assertions. The approach consists in the transformation of WS-SP into an OWL-DL ontology and the definition of a set of semantic relations that can exist...

Geo-spatial applications need to provide powerful search capabilities to support users in their daily activities. However, discovery services are often limited by only syntactically matching user terminology to metadata describing geographical resources. We report our work on the implementation of a geographical catalogue, and corresponding semantic extension, for the spatial data infrastructur...

An FAQ (frequently-asked question) pattern consists of a question and a text document that answers the question and contains some additional remarks. As a query is similar to the FAQ’s question, the FAQ’s answer gives a possible answer or parts of the answer of the query. On the other hand, an FAQ’s answer may also contain information not concerning with the corresponding FAQ’s question but emb...