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In this paper, we categorize "semantics" into "taxonomical semantics", "syntactical semantics" and "formal semantics". We propose a declarative meta-language SCDL-NL as the foundation of a general annotation language in which "taxonomical and syntactical semantic" information of a sentence can be clearly defined. Since pure natural language is too...
In this paper an approach based on Wikipedia link structure for sense disambiguation is presented and evaluated. Wikipedia is used as a reference to obtain lexicographic relationships and in combination with statistical information extraction it is possible to deduce concepts related to the terms extracted from a corpus. In addition, since the corpus covers a representation of a part of the real world...
The paper surveys some relevant issues related to data management in pervasive environments. Particularly, it focuses on the compression of semantic annotations for building so called Semantic Web of Things. An approach is proposed to achieve good compression ratios, to maintain compression effectiveness and finally to query compressed data without requiring expensive decompression phases. Experimental...
In this paper, we present a pattern-based approach to support Web service compositions. The concept of service patterns is designed to overcome the challenges posed by the lack of systematic ways of reusing previous experience in service interactions. A service pattern represents a class of concrete services or a generalized workflow. Hence, service patterns form an abstraction layer over concrete...
The process of writing a resume is a task where the notion of background knowledge plays an important role. A typical resume contains several interrelated and implicit information. The use of domain ontologies and semantic technologies provides a valuable help to point out such interrelations and to make explicit the implicit knowledge. We present a system to automatically produce a semantically annotated...
Data integration is the problem of combining data residing at distributed heterogeneous sources, including multimedia sources, and providing the user with a unified view of these data. Ontology based Data Integration involves the use of ontology(s) to effectively combine data and information from multiple heterogeneous sources. Ontologies, with respect to the integration of data sources, can be used...
Functional dependency (FD) is one of the integrity constraints for any data model. In relational data model, FDs are well studied and are widely used in normalization theory and in key algorithm. In recent years, XML has emerged as an widely used data representation and storage format over the world wide web. The growing use of XML has necessitated the XML document semantically stronger. XML functional...
Intelligent vehicles are one of the enlightening ideas that will shape our future by providing enhanced safety and improved mobility. Apparently, among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. However, lane detection is a challenging task because of the varying road conditions that one can encounter while driving. In this paper,...
Future multimedia applications in complex domains such as cultural heritage management demand the ongoing semantization of multimedia artifacts in communities of practice. These semantization tasks will be realized as web services. In this paper, we present an XMPP-based communication and web service architecture which is able (a) to create, store, annotate, adapt, share, and consume multimedia materials...
The widespread deployment of Resource Description Framework has resulted in the emergence of a new data storage paradigm, the RDF Graph Model, which, in turn, requires a rich suite of modeling and visualization tools to aid with data management. This paper presents R2D (RDF-to-Database), an effort whose goal is to enable reusability of relational tools on RDF data. R2D aims to transform RDF data,...
In this paper, we present a domain specific information extraction approach. We use manually formed templates to extract information from unstructured documents where grammatical and syntactical errors occur frequently. We applied our approach to primarily Turkish unstructured soccer Web-casting texts. Compared to automated approaches we achieve high precision-recall rates (97% - 85%). In addition...
We propose and clarify the manner in which a distributed information retrieval (IR) is conducted using a Peer-to-Peer (P2P) technology that has approximately the same accuracy as a current index-integrated search engine with the statistical information calculated from the contents We need to solve the following problems to develop distributed IR services for distributed objects in peers without indices...
In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actions to define a new language - CAL (Constraint with Action Language), which gives users the ability to evaluate objects change a-priori. We have added a data type, directed acyclic graph (DAG) to CAL to automate model evolution...
Ordinary users are finding it increasingly difficult to explore the large volumes of diverse data they encounter in their everyday lives. Techniques based on data mining algorithms are useful but they tend to be too complex for casual users to work with effectively. Furthermore, these techniques don't allow the user to engage with the information using semantics meaningful to them. Semantically enriched...
Evolution of knowledge-based industry should accelerate the research for improving human interoperability across collaborating individuals and organizational domains. These human-centric environments are critically dependent on individuals' ability and integrity of the information and the quality of decisions. Human interoperability plays an important role in these areas, while supporting semantic...
Effective information retrieval in digital libraries requires semantic alignments of documents with taxonomy. The alignments provide the semantic description of documents. The proposed methodology aligns documents using the hierarchical structure of taxonomy. It refines the results of the existing semantic key phrase extraction algorithm. The evaluation shows promising results.
Semantic integration in the hidden Web is an emerging area of research where traditional assumptions do not always hold. Frequent changes, conflicts and the sheer size of the hidden Web demand vastly different integration techniques that rely on autonomous detection and heterogeneity resolution, correspondence establishment, and information extraction strategies. In this paper, we present an algebraic...
The capability to support plethora of new diverse applications has placed wireless sensor network (WSN) technology at threshold of an era of significant potential growth. In this regard, pattern recognition especially in real-time applications plays a paramount role in securing the network against malicious activity. In this paper, an attempt is made to introduce a novel method using a highly scalable...
This paper introduces a novel approach to solving a certain type of Web search problem. The concept of process-based Web search is proposed and a prototype process-based search engine has been developed and evaluated to help users solve problems more effectively. Unlike traditional Web search engines showing a list of ranked hyperlinks as results, the proposed system searches and displays results...
CSML is a semantic markup language created for the publishing and sharing of conceptual spaces, which are geometric structures that represent semantics at the conceptual level. CSML can be used to describe semantics that are not captured well by the ontology languages commonly used in the Semantic Web. Measurement of the semantic similarity of concepts as well as the combination of concepts without...
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