Matches in ScholarlyData for { ?s ?p ?o. }
- 15 keyword "Feature Vector Construction".
- 15 keyword "Information Retrieval".
- 15 keyword "Ontology,".
- 15 keyword "Web Search".
- 15 title "Web Search With Document Space Adapted Ontologies".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent stein-l-tomassen.
- 16 creator jagannathan-srinivasan.
- 16 creator james-hendler.
- 16 creator medha-atre.
- 16 type InProceedings.
- 16 label "BitMat: A Main-memory Bit Matrix of RDF Triples for Conjunctive Triple Pattern Queries".
- 16 sameAs 16.
- 16 abstract "This poster proposes BitMat, a bit matrix structure for representing a large number of RDF triples in memory and processing conjunctive triple pattern (multi-join) queries using it. The compact in-memory storage and use of bitwise operations, can lead to a faster processing of join queries when compared to the conventional RDF triple stores. Unlike conventional RDF triple stores, where the size of the intermediate join results can grow very large, our BitMat based multi-join algorithm ensures that the intermediate result set remains small across any number of join operations (provided there are no Cartesian joins). We present the key concepts of BitMat structure, its use in processing join queries, describe the preliminary experimental results with UniProt and LUBM datasets, and discuss the possible use case scenarios.".
- 16 hasAuthorList authorList.
- 16 isPartOf poster_demo_proceedings.
- 16 keyword "bitmaps".
- 16 keyword "main-memory RDF stores".
- 16 keyword "multi-joins".
- 16 title "BitMat: A Main-memory Bit Matrix of RDF Triples for Conjunctive Triple Pattern Queries".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent medha-atre.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent jagannathan-srinivasan.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent james-hendler.
- item-3 previous item-2.
- 17 creator gianni-vercelli.
- 17 creator marta-gonzalez.
- 17 creator stefano-bianchi.
- 17 type InProceedings.
- 17 label "Semantic framework for complex knowledge domains".
- 17 sameAs 17.
- 17 abstract "Large amounts of scientific digital contents, potentially available for public sharing and reuse, are nowadays held by scientific and cultural institutions which institutionally collect, produce and store information valuable for dissemination, work, study and research. Semantic technology offers to these stakeholders the possibility to integrate dispersed heterogeneous yet related resources and to build value-added sharing services (overcoming barriers such as knowledge domain complexity, different classification, languages, data formats and localization) by exploiting knowledge formalisation and semantic annotation. Applications in real cases are anyway often hampered by difficulties related to the proper formalization of scientific knowledge domains (ontology engineering) and the description of contents (semantic annotation). Difficulties that become even more relevant when dealing with complex knowledge domains (vast domain + certain level of dynamicity) that formalize heterogeneous resources coming from scattered sources. This paper illustrates the lessons learnt in applying the Semantic Web specifications to support content management and sharing in scientific complex knowledge domains using mixed - formal/informal - annotation and ontology learning approaches to overcome the difficulties posed by dealing with complex knowledge domains such as the aquatic domain.".
- 17 hasAuthorList authorList.
- 17 isPartOf poster_demo_proceedings.
- 17 keyword "Hierarchical free tags".
- 17 keyword "Mixed annotation".
- 17 keyword "Ontology learning".
- 17 keyword "Ontology merging".
- 17 keyword "Semantic services".
- 17 title "Semantic framework for complex knowledge domains".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent marta-gonzalez.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent stefano-bianchi.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent gianni-vercelli.
- item-3 previous item-2.
- 18 creator xia-wang.
- 18 type InProceedings.
- 18 label "oWSD: A Tool for Word Sense Disambiguation in Its Ontology Context".
- 18 sameAs 18.
- 18 abstract "Word sense disambiguation (WSD) technology is very important to Semantic web/web 2.0 and Ontology as well. There still has no easy-to-use WSD tool available. This paper demonstrates a simple and very efficient tooL. It does WSD in an Ontology context and get the right word senses from WordNet\cite{WordNet}. This tool is very useful to natural language process and Ontology related applications.".
- 18 hasAuthorList authorList.
- 18 isPartOf poster_demo_proceedings.
- 18 keyword "ontology".
- 18 keyword "web 2.0".
- 18 keyword "word sesen disambiguation".
- 18 title "oWSD: A Tool for Word Sense Disambiguation in Its Ontology Context".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent xia-wang.
- 19 creator enrico-motta.
- 19 creator marta-sabou.
- 19 creator mathieu-daquin.
- 19 type InProceedings.
- 19 label "Relation Discovery from the Semantic Web".
- 19 sameAs 19.
- 19 abstract "Several Semantic Web specific tasks such as ontology learning/extension or ontology matching rely on identifying relations between two given concepts. Scarlet is a technique for discovering relations between two given concepts by exploring ontologies available on the Semantic Web as a source of background knowledge. By relying on semantic web search engines such as Watson, Scarlet automatically identifies and combines relevant information from multiple and heterogeneous online ontologies. Scarlet has already been used successfully to support a variety of tasks, but is also available as a stand alone component that can be reused in various other applications. This poster will be accompanied by a demo of Scarlet's functionality available through its Web based user interface.".
- 19 hasAuthorList authorList.
- 19 isPartOf poster_demo_proceedings.
- 19 keyword "Scarlet".
- 19 keyword "relation discovery".
- 19 keyword "semantic web".