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Integrating Natural Language Processing Compone...
53,32 € *
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This book describes novel software architectures for the integration of deep and shallow natural language processing (NLP) components in language technology. The generic markup language XML and the XML transformation language XSLT are used for flexible combination of linguistic markup produced by multiple NLP components. Shallow NLP components such as tokenizers, part-of-speech taggers, named entity recognizers and shallow parsers are combined with a deep parser, operating grammars written in the spirit of the Head-Driven Phrase Structure Grammar (HPSG) theory. The integration paradigm enables synergy leading to more robust deep parsing with increased coverage. It also constitutes a division of labor: the deep grammar models general, correct language use, while shallow systems are responsible for domain-specific extensions. Applications are presented in question answering, information extraction, natural language understanding, ontologies and the Semantic Web. The book addresses to software engineers, computational linguists and language technology engineers.

Anbieter: buecher
Stand: 28.09.2020
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Data Integration with XML and Semantic Web Tech...
59,00 € *
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Data integration is the process of facilitating the access to data residing at multiple heterogeneous data sources, and providing users and applications with a unified view of these data. Data integration is crucial in enterprises that store and exchange data in disparate and incompatible formats, and is one of the big challenges of the World Wide Web, where millions of heterogeneous data sources are available. This book contributes to different aspects of the design of modern data integration systems in the context of the Web. On one hand, the work contributes to the Semantic Integration research trend, which refers to the problem of reconciling data from autonomous sources using ontologies and other semantic-based tools. The work suggests a novel solution to XML-RDF semantic integration and also contributes to the problem of Ontology Alignment, defining a rigorous and scalable semantic similarity measure for RDF labelled directed graphs. On the other hand, the book suggests a novel solution to the problem of translating a user query (targeting a logical mediated schema), into queries over a set of autonomous data sources provided with restricted web interfaces.

Anbieter: Dodax
Stand: 28.09.2020
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Semantic Translation
34,00 € *
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High Quality Content by WIKIPEDIA articles! Semantic translation is the process of using semantic information to aid in the translation of data in one representation or data model to another representation or data model. Semantic translation takes advantage of semantics that associate meaning with individual data elements in one dictionary to create an equivalent meaning in a second system. An example of semantic translation is the conversion of XML data from one data model to a second data model using formal ontologies for each system such as the Web Ontology Language (owl). This is frequently required by intelligent agents that wish to perform searches on remote computer systems that use different data models to store their data elements. The process of allowing a single user to search multiple systems with a single search request is also known as federated search.

Anbieter: Dodax
Stand: 28.09.2020
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Web Ontology Language
29,00 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online.The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. This family of languages is based on two (largely, but not entirely, compatible) semantics: OWL DL and OWL Lite semantics are based on Description Logic, which have attractive and well-understood computational properties, while OWL Full uses a semantic model intended to provide compatibility with RDF Schema. OWL ontologies are most commonly serialized using RDF/XML syntax. OWL is considered one of the fundamental technologies underpinning the Semantic Web, and has attracted both academic and commercial interest.

Anbieter: Dodax
Stand: 28.09.2020
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Integrating Natural Language Processing Compone...
79,00 € *
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This book describes novel software architectures for the integration of deep and shallow natural language processing (NLP) components in language technology. The generic markup language XML and the XML transformation language XSLT are used for flexible combination of linguistic markup produced by multiple NLP components. Shallow NLP components such as tokenizers, part-of-speech taggers, named entity recognizers and shallow parsers are combined with a deep parser, operating grammars written in the spirit of the Head-Driven Phrase Structure Grammar (HPSG) theory. The integration paradigm enables synergy leading to more robust deep parsing with increased coverage. It also constitutes a division of labor: the deep grammar models general, correct language use, while shallow systems are responsible for domain-specific extensions. Applications are presented in question answering, information extraction, natural language understanding, ontologies and the Semantic Web. The book addresses to software engineers, computational linguists and language technology engineers.

Anbieter: Dodax
Stand: 28.09.2020
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Faceted Lightweight Ontologies: A Formalization...
68,00 € *
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A lightweight ontology is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones, the lack of background knowledge needed for the formal lightweight ontologies, and the limitation of ontology reuse. This book describes a solution to these problems in formal lightweight ontologies, namely, faceted lightweight ontology (FLO). A detailed description -- of some experiments conducted in building an FLO on geographical domain, and of an XML like language called C-XML developed for representing FLO, is provided.

Anbieter: Dodax
Stand: 28.09.2020
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Semantic Matching
39,00 € *
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Semantic matching is a technique used in Computer Science to identify information which is semantically related. Given any two graph-like structures, e.g. classifications, database or XML schemas and ontologies, matching is an operator which identifies those nodes in the two structures which semantically correspond to one another. For example, applied to file systems it can identify that a folder labeled car is semantically equivalent to another folder automobile because they are synonyms in English. This information can be taken from a linguistic resource like WordNet.

Anbieter: Dodax
Stand: 28.09.2020
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Schema Matching and Mapping-based Data Integration
68,00 € *
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Revision with unchanged content. The book focuses on Schema Matching, the task of (semi-)automatically identifying semantic correspondences between elements of metadata structures, such as, database schemas, ontologies, and XML message formats. It is of key importance for interoperability and data integration in numerous applications, such as data warehousing, integration of web-sources, message mapping in E-business, and ontology alignment on the Semantic Web. However, in today's systems, schema matching is still manual, a time-consuming, tedious, and error-prone process, which becomes increasingly impractical considering the high complexity and number of schemas and data sources to be dealt with. In this book, the author Do Hong Hai describes the architecture, functionality, and evaluation of the schema matching system COMA++ (Combining Matchers), which was developed by himself in his Ph.d thesis. COMA++ represents a generic and customizable system for semi-automatic schema matching, which can combine different match algorithms in a flexible way. In comprehensive evaluations using large real-world schemas and ontologies, COMA++ has shown high quality as compared to the state of the art, proving its practicability for different domains. In addition, the book describes a new data integration approach, GenMapper (Generic Mapper), which utilizes instance-level correspondences between objects of data sources.

Anbieter: Dodax
Stand: 28.09.2020
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Developing Conceptual Models for Disaster Manag...
49,00 € *
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A disaster is the impact of natural or man-made hazard and all the disasters require mitigation measures. Current Disaster Management Systems are dependent upon manual data entry, analysis, and decision making. Semantic Web technologies have actively been used for the development of intelligent and self governed web based system. These systems include the use of XML, RDF and ontologies for formulation and semantic interpretation of data. The ontology defines rules essential to search the data from unstructured world i.e., World Wide Web, which are later used for information extraction and reasoning purpose. Various disasters related ontologies have been considered but none conceptualizes the domain completely. Most of the ontologies are designed for the specific purpose in the domain like the disaster plans, the task ontology for the emergency operation center. We have developed disaster ontology which almost covers every important aspect of disasters like disaster type, disaster date, losses including human loss as well as infrastructure loss, services, service providers, disaster location, and relief items etc.

Anbieter: Dodax
Stand: 28.09.2020
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