Semantic search

This book combines in an exemplary manner the theoretical aspects of a combination of intelligent conceptual and spatio-temporal queries of heterogeneous information systems. Throughout the book, examples are provided using GIS functionality. However, the theoretical concept and the prototypical system are more general. The ideas can be applied to other application domains and have been demonstrated and tested, e.g., in the electronics and tourist domains.

165p haojiubujain08 01-11-2023 4 2   Download

Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs.

8p visteverogers 24-06-2023 3 2   Download

There are many applications related to semantic web, information retrieval, information extraction, and question answering applying ontologies in recent years. To avoid the conceptual and terminological confusion, an ontology is built as a taxonomy ontology which identifies and distinguishes concepts as well as terminology.

8p vivelvet2711 06-09-2021 9 1   Download

The thesis researches and builds an entity search technique based on implicit semantic relations using clustering methods to improve search efficiency. Apply context-aware techniques, build an vertical search engine that applies context-aware in its own knowledge base domain (aviation data). Propose to measure combinatorial similarity in the contextual query suggestion problem to improve the quality of suggestion.

27p capheviahe27 23-02-2021 17 3   Download

Biologists may need to know the set of genes that are semantically related to a given set of genes. For instance, a biologist may need to know the set of genes related to another set of genes known to be involved in a specific disease. Some works use the concept of gene clustering in order to identify semantically related genes.

15p viwyoming2711 16-12-2020 12 1   Download

The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) systems have made important strides in recent decades, the problem of accurate knowledge extraction from the biomedical literature is far from solved.

14p vikentucky2711 26-11-2020 14 1   Download

Consumers increasingly use online resources for their health information needs. While current search engines can address these needs to some extent, they generally do not take into account that most health information needs are complex and can only fully be expressed in natural language.

28p viconnecticut2711 28-10-2020 13 0   Download

Cloud computing is a pattern for delivering ubiquitous and on demand computing resources based on pay-as-you-use financial model. Typically, cloud providers advertise cloud service descriptions in various formats on the Internet. On the other hand, cloud consumers use available search engines (Google and Yahoo) to explore cloud service descriptions and find the adequate service. Unfortunately, general purpose search engines are not designed to provide a small and complete set of results, which makes the process a big challenge.

8p trinhthamhodang1 14-11-2019 20 2   Download

Social media networks have evolved as a large repository of short documents and gives the greater challenges to effectively retrieve the content out of it. Many factors were involved in this process such as restricted length of a content, informal use of language (i.e., slangs, abbreviations, styles, etc.) and low contextualization of the user generated content. To meet out the above stated problems, latest studies on context-based information searching have been developed and built on adding semantics to the user generated content into the existing knowledge base.

20p kequaidan1 05-11-2019 19 2   Download

The paper presents extracting, clustering, ranking techniques and a model of search for entity based on implicit semantic relation on Vietnamese language domain.

16p viconandoyle2711 29-08-2019 21 0   Download

A regular user of a semantic search system frequently posses no knowledge about the SPARQL language nor about the ontology of a given knowledge base, especially when it provides domain-unspecific data obtained from heterogeneous sources. Nevertheless, he/she should be provided with tools enabling both intuitive and effective exploration of RDF-compliant knowledge bases.

9p vititan2711 13-08-2019 22 1   Download

This approach is based on text snippets and page counts. These two measures are taken from the results of a search engine like Google. To achieve the aim of this paper, lexical patterns are extracted from text snippets and word co-occurrence measures are defined using page counts. The results of these two are combined.

6p byphasse043256 24-03-2019 17 0   Download

Substantial efforts have been made in order to cope with disjunctions in constraint based grammar formalisms (e.g. [Kasper, 1987; Maxwell and Kaplan, 1991; DSrre and Eisele, 1990].). This paper describes the roles of disjunctions and inheritance in the use of feature structures and their formal semantics. With the notion of contexts we abstract from the graph structure of feature structures and properly define the search space of alternatives.

7p buncha_1 08-05-2013 48 1   Download

This article describes GALATEAS LangLog, a system performing Search Log Analysis. LangLog illustrates how NLP technologies can be a powerful support tool for market research even when the source of information is a collection of queries each one consisting of few words. We push the standard Search Log Analysis forward taking into account the semantics of the queries. The main innovation of LangLog is the implementation of two highly customizable components that cluster and classify the queries in the log. ...

5p bunthai_1 06-05-2013 42 2   Download

GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search engine returning a set of true predicates regarding the query instead of the usual ranked list of relevant documents. Our approach relies on two basic assumptions: (i) paradigmatic relations can be established only among terms in the same Semantic Domain an (ii) they can be inferred from texts by analyzing the Subject-Verb-Object patterns where two domain specific terms co-occur. ...

4p bunthai_1 06-05-2013 51 1   Download

We propose a syntactic falter for identifying non-coreferential pronoun-NP pairs within a sentence. The filter applies to the output of a Slot Grammar parser and is formulated m terms of the head-argument structures which the parser generates. It liandles control and unbounded dependency constructions without empty categories or binding chains, by virtue of the uniticational nature of the parser. The filter provides constraints for a discourse semantics system, reducing the search domain to which the inference rules of the system's anaphora resolution component apply. ...

8p bungio_1 03-05-2013 48 2   Download

We argue for the usefulness of an active chart as the basis of a system that searches for the globally most plausible explanation of failure to syntactically parse a given input. We suggest semantics-free, grammarindependent techniques for parsing inputs displaying simple kinds of ill-formedness and discuss the search issues involved.

8p bungio_1 03-05-2013 37 2   Download

The resulting graph is a nucleus for constructing models of possible worlds in which the sentence is true. • Laws of the world behave like demons or triggers thai monitor the models and block illegal extensions. • If a surface model could be extended infinitely deep, the result would be a complete standard model. This approach leads to an infinite sequence of algorithms ranging from plausible inference to exact deduction; they are analogous to the varying levels of search in game playing programs. ...

6p bungio_1 03-05-2013 35 2   Download

We describe an efficient bottom-up parser that interleaves syntactic and semantic structure building. Two techniques are presented for reducing search by reducing local ambiguity: Limited leftcontext constraints are used to reduce local syntactic ambiguity, and deferred sortal-constraint application is used to reduce local semantic ambiguity. We experimentally evaluate these techniques, and show dramatic reductions in both number of chart edges and total parsing time.

7p bunmoc_1 20-04-2013 40 4   Download

1 Efficient natural language generation has been successfully demonstrated using highly compiled knowledge about speech acts and their related social actions. A design and prototype implementation of a parser which utilizes this same pragmatic knowledge to efficiently guide parsing is presented. Such guidance is shown to prune the search space and thus avoid needless processing of pragmatically unlikely constituent structures.

3p bunmoc_1 20-04-2013 47 2   Download