A semantic-based Web mining is mentioned by many people in order to improve Web service levels and address the existing Web services which is supported by the lack of semantic problem. Semantic-based Web data mining is a combination of the semantic Web and Web mining. Web mining results help to build the semantic Web. The knowledge of Semantic Web makes Web mining easier to achieve, but also can improve the effectiveness of Web mining. This paper firstly introduces the related knowledge of...
Research on semantic Web mining
The Semantic Web Initiative envisions a Web wherein information is offered free of presentation, allowing more effective exchange and mixing across web sites and across web pages. But without substantial Semantic Web content, few tools will be written to consume it; without many such tools, there is little appeal to publish Semantic Web content. To break this chicken-and-egg problem, thus enabling more flexible information access, we have created a web browser extension called Piggy Bank...
piggy bank experience the semantic web inside your web browser
This paper proposes a searching mechanism to discover semantic Web services satisfying user requirements. The increase in Web services and lack of semantic base in search mechanisms of UDDI make it difficult for users to find a required Web service. It is proposed to develop a semantic search agent (SSA) to discover required Web services from Web. The system uses OWL-S for describing semantics of Web services and discovers suitable semantic Web services through these semantic descriptions....
A semantic search agent approach: finding appropriate semantic Web services based on user request term(s)
A semantic-based Web mining is mentioned by many people in order to improve Web service levels and address the existing Web services which is supported by the lack of semantic problem. Semantic-based Web data mining is a combination of the semantic Web and Web mining. Web mining results help to build the semantic Web. The knowledge of Semantic Web makes Web mining easier to achieve, but also can improve the effectiveness of Web mining. This paper firstly introduces the related knowledge of...
research on semantic web mining
In the article, entitled “Semantic Web, RDF, and Portals”, it is mentioned that a Semantic Web Portal (SWP) has the generic features of a Web portal but is built on semantic Web technologies. This article provides an introduction to two types of Web ontology languages (RDF Schema and OWL), semantic query, Web services, and the architecture of a Semantic Web Portal.
ontology web services and semantic web portals
The semantic Web is, without a doubt, gaining momentum in both industry and academia. The recent International Semantic Web Conference (ISWC) attracted more than 500 researchers; major vendors including IBM, Oracle, and Software AG have released or announced products; and the forthcoming Semantic Technology Conference in San Jose, California, is poised to be an impressive showcase for executives and venture capitalists on the business potential of semantic technologies. Unfortunately,...
Semantic Web and semantic Web services: father and son or indivisible twins?
With the Semantic Web services technology research work continued to deepen, the number of semantic Web services on the Internet has dramatically increased how to locate available semantic Web services quickly and easily has become an urgent and key issue. Among semantic Web service matchmaking technology study, one of the important research themes is the semantic Web service matchmaking result ranking mechanism. In this paper, a novel semantic Web service ranking mechanism based on semantic...
Semantic Web Service Similarity Ranking Proposal Based on Semantic Space Vector Model
We present our experiment in integrating semantic web services in the existing semantic web server architecture used by the ACACIA team to implement corporate memories. We rely on CORESE, a semantic web search engine, to provide web applications based on the semantic web services it can identify. Thus, CORESE is used as a semantic UDDI registry and allows us to automatically discover and invoke corporate applications wrapped into semantically annotated web services. Using rules and an...
Integrating dynamic resources in corporate semantic web: an approach to enterprise application integration using semantic web services
Abstract The vision of semantic Web is to have a Web of things instead of Web of documents in a form that can be processed by machines. This vision could be achieved on the existing Web using semantic annotation based on common and public ontologies. Due to exponential growth and huge size of the Web sources, there is a need to have fast and automatic semantic annotation services of Web documents. Since Arabic language received less attention in semantic Web research as compared to Latin...
semantic annotation of arabic web resources using semantic web services
New forms of conceiving the web such as web 2.0 and the semantic web have emerged for numerous purposes ranging from professional activities to leisure. The semantic web is based on associating concepts with web pages, rather than only identifying hyperlinks and repeated literals. ITACA is a project whose aim is to add semantic annotations to web pages, where semantic annotations are Wikipedia URLs. Therefore, users can write, read and vote on semantic annotations of a webpage. Semantic...
A Transparent, Reputation-Based Architecture for Semantic Web Annotation
There has been recently a growth of interest in developing the current machine-readable Web towards the next generation of machine-understandable Web - Semantic Web. The development of the Web to a global business was reasonably fast, whereas Semantic Web development has taken time from a plan to be used as the mainstream Web. It is also important to note that the use of Semantic Web would only be successful in small technologies. However, the goal of Semantic Web is to be used in big...
towards semantic web challenges and needs
Extracting useful information from the web is the most significant issue of concern for the realization of semantic web. This may be achieved by several ways among which Web Usage Mining, Web Scrapping and Semantic Annotation plays an important role. Web mining enables to find out the relevant results from the web and is used to extract meaningful information from the discovery patterns kept back in the servers. Web usage mining is a type of web mining which mines the information of access...
Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation
Semantic Web Service technology provides a strong support for automation software development based on Web service. By analyzing the existing description models and methods of semantic Web service, a Semantic Web Service Description Model (WSDM4S) and its formal description based on SHOIN+(D) are proposed, which attempt to offer an effective model for description, publication, discovery, composition, and execution of Web services based on semantic description. And a Semantic Web Service...
A Semantic Web Service Description Language
Context awareness in Web services is gaining momentum. Since it is not a trivial task, it suffers from lack of a general solution. In this paper, we introduce a novel approach for context-aware semantic Web services which is applicable for any environment. It is established based on composition of context provider Web services and other context-aware semantic Web services. In addition, an extended version of the semantic Web service ontology language for semantic Web services is introduced,...
An Architecture for Context-Aware Semantic Web Services
SUMMARY This article explores the applicability of primary library functions (collection development, cataloging, reference, and circulation) to the Semantic Web. The article defines the Semantic Web, identifies similarities between the library institution and the Semantic Web, and presents research questions guiding the inquiry. The article addresses each library function and demonstrates the applicability of each function's policies to Semantic Web development. Results indicate that...
advancing the semantic web via library functions
Web search engines are designed to retrieve and extract the information in the web databases and to return dynamic web pages. The Semantic Web is an extension of the current web in which it includes semantic content in web pages. The main goal of semantic web is to promote the quality of the current web by changing its contents into machine understandable form. Therefore, the milestone of semantic web is to have semantic level information in the web. Nowadays, people use different keyword-...
Categorizing Search Result Records using Word Sense Disambiguation
Web 2.0 and the Semantic Web are approaches that target the improvement of the Web through the optimization of mechanisms for sharing information and resources. This document argues that Web 2.0 is not an immature stage of the Semantic Web but an orthogonal dimension of another Web aspect, the semantic. Unfortunately, both dimensions are not independent; the more developed a semantic representation of a system is, in order to be more useful for the Semantic Web, the more distant it is to the...
semantic web or web 2 0 socialization of the semantic web
The related theories of Web and Web mining in semantic are concluded and analyzed in this paper. The description on RDF resource is analyzed on the semantic step, and the clustering method for RDFMS data clustering based on Semantic distance is proposed, with the detailed description for the algorithm and examples. With the discussion on the data mining techniques for semantic Web mining, the design on inductive logic programming is proposed for the data mining techniques that are suitable...
Study of Semantic Web Usage Mining
Semantic-Synaptic Web mining [1] aims to integrate the best idea from the semantic Web and synaptic Web with Web mining at low entropy. Semantic entropy can help researchers to decide not only how to work with words, but which words to work with. Many researchers are struggling to upgrade the result of Web mining by capitalizing semantic structure of the Web so that one can get the relevant and efficient information from the Web, but efficient and relevant information extracting from the Web...
Entropy measurement and algorithm for Semantic-Synaptic web mining
In the proceedings of National Conference on Information and Communication Technologies, (NCICT-2007), Paper ID 21, Session S32, pp 100-102, Pakistan, 9th May 2007<br/>In this research paper we are briefly presenting current major web problems and introducing semantic web technologies with the claim of solving existing web's problems. Furthermore we are describing Ontology as the main building block of semantic web and focusing on its contributions to semantic web progress and current...
Web to Semantic Web & Role of Ontology
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Chempound is a new generation repository architecture based on RDF, semantic dictionaries and linked data. It has been developed to hold any type of chemical object expressible in CML and is exemplified by crystallographic experiments and computational chemistry calculations. In both examples, the repository can hold >50k entries which can be searched by SPARQL endpoints and pre-indexing of key fields. The Chempound architecture is general and adaptable to other fields of data-rich science....
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<<<!!!<<< The Open PHACTS Linked Data API and associated infrastructure was closed down in March 2019 to allow the team to focus on the next phase. http://www.openphactsfoundation.org/open-phacts-platform-update-march-2019/ >>>!!!>>>
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Open PHACTS |
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myExperiment is a collaborative environment where scientists can safely publish their workflows and in silico experiments, share them with groups and find those of others. Workflows, other digital objects and bundles (called Packs) can now be swapped, sorted and searched like photos and videos on the Web. Unlike Facebook or MySpace, myExperiment fully understands the needs of the researcher and makes it really easy for the next generation of scientists to contribute to a pool of scientific...
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DaSCH is the trusted platform and partner for open research data in the Humanities. DaSCH develops and operates a FAIR long-term repository and a generic virtual research environment for open research data in the humanities in Switzerland. We provide long-term direct access to the data, enable their continuous editing and allow for precise citation of single objects within a dataset. We ensure interoperability with tools used by the Humanities and Cultural Sciences communities and foster the...
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Swiss National Data and Service Center for the Humanities |
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Dataset of terms from the Semantic Web Domain. The terms have been extracted automatically from a corpus of the Semantic Web Journal and the Journal of Semantic Web
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Automatic Terms and Nouns from Semantic Web |
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A dataset of Austrian court decisions in German language prepared by Christian Sageder from Cybly in JSON-LD format compliant with LynxDocument schema (https://lynx-project.eu/doc/lkg/) - folder "original_json". Additionally, named entities annotations produced by a Bert-based transformer trained on WikiNer corpus - Per, Loc, Org, Misc - by DFKI team in N3 RDF notations, compliant with NIF2.1...
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Austrian court decisions |
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Organizations can benefit from integrating multilingual information from both textual and structured sources, and from its retrieval by means of Question Answering (QA) systems. Hybrid QA approaches, capable of finding answers in both documents and KGs, usually rely on translating textual sources into KG statements or vice-versa, and are often not leveraging the whole extent of a graph or the richness of the natural language text. Here we propose PORQUE, a hybrid QA system that utilizes...
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Proposal for PORQUE, a Polylingual Hybrid Question Answering System |
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Foundation for a Knowledge Graph Taxonomy Design Best Practices |
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This presentation provides deep insights into the methodology used to develop the Semantic Web Company’s Knowledge Hub as a core element of a broader knowledge management strategy. It will cover methodologies, architecture, implemented governance models, and the added value from a business perspective.
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How A Knowledge Graph Became The Focal Point Of The Internal Knowledge Hub In A Software Company |
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Stackexchange is also a collection of questions, some of which have been marked as duplicates by site-adminsitrators. I downloaded a data dump that contains the questions sorted by subject. I picked the chemistry subject because MEsH includes many chemistry-related concepts. There are 660 questions that have been marked as duplicates (class 1). I generated a further 861 pairs of non-duplicates (class 2) by looking for pairs of questions that aren't marked as either duplicates or related.
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Duplicate chemical questions from https://chemistry.stackexchange.com/ |
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We outline some of the core features and capabilities of PoolParty Semantic Suite along the enterprise knowledge graph life cycle (EKG-LC), which provides also a comprehensive overview of the actors and agents involved during the most important operational steps for the (ongoing) development of the graph. This ranges from data inventory, extraction and curation, modeling (authoring), various transformation steps, to linking and enrichment (e.g., inferred data), and analysis or feedback of...
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From Card Sorting to Data Automation: PoolParty—A Complete Semantic Middleware |
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Taxonomies and ontologies are often merged. Ontologists might look upon taxonomies as the component or extension of ontologies to include hierarchies of subclasses. But it also goes the other way. Taxonomies can be semantically enriched to become ontologies with the addition of a high-level ontology model. This bottom-up approach to ontology creation leverages existing taxonomies. While stakeholder input and analysis of data are standard inputs into ontology design, taxonomies can serve as...
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Taxonomy-Driven Ontology Design |
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In this presentation, we introduce the ESG topic complex and we discuss how the use of a comprehensive ESG knowledge model can support the implementation of ESG strategies in a multitude of ways. For example, to optimize ESG risk management, enhance sustainability reporting, and even provide rich information around ESG topics to all types of stakeholders, including supply chain managers, risk managers, and ESG strategists. Based on Semantic Web Company’s ESG knowledge model, we mention...
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The ESG Knowledge Hub |
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This presentation shows the approach of making use of Knowledge Graphs in Data Spaces and Data Markets to foster data- and semantic interoperability. Interoperability is the enabler of efficient and sustainable data sharing between organisations, either in a certain industry or across industries, either in the form of data trading or as data collaborations. This talk will explain the basic principles of Data Spaces, draw the problem statement of interoperability for value-added data sharing,...
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How Knowledge Graphs foster Interoperability in Data Spaces |
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Formally, WiC is framed as a binary classification task. Each instance in WiC-TSV consists of a target word w with a corresponding target sense s represented by either its definition (subtask 1) or its hypernym/s (subtask 2), and a context c containing the target word w. The task aims to determine whether the meaning of the word w used in the context c matches the target sense s. In the following table there are some examples from the dataset. Subtasks WiC-TSV has three subtasks -...
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Word-in-Context Target Sense Verification |
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This SQLite database contains Skolt Sami lemmas and their frequencies in a big corpus. The lemmas are linked to each other based on the syntactic relations they have had in the corpus. Also, the frequency of a syntactic relation between two words is recorded. This means that it is possible to see how frequently for example the word for a dog has appeared with a subject relation with the verb for bark. These database is translated from SemFi by using Giellatekno XML dictionaries. For a...
This SQLite database contains Erzya lemmas and their frequencies in a big corpus. The lemmas are linked to each other based on the syntactic relations they have had in the corpus. Also, the frequency of a syntactic relation between two words is recorded. This means that it is possible to see how frequently for example the word for a dog has appeared with a subject relation with the verb for bark. These database is translated from SemFi by using Giellatekno XML dictionaries. For a detailed...
This SQLite database contains Komi-Zyrian lemmas and their frequencies in a big corpus. The lemmas are linked to each other based on the syntactic relations they have had in the corpus. Also, the frequency of a syntactic relation between two words is recorded. This means that it is possible to see how frequently for example the word for a dog has appeared with a subject relation with the verb for bark. These database is translated from SemFi by using Giellatekno XML dictionaries. For a...
This SQLite database contains Moksha lemmas and their frequencies in a big corpus. The lemmas are linked to each other based on the syntactic relations they have had in the corpus. Also, the frequency of a syntactic relation between two words is recorded. This means that it is possible to see how frequently for example the word for a dog has appeared with a subject relation with the verb for bark. These database is translated from SemFi by using Giellatekno XML dictionaries. For a detailed...
This model is a semantic model that captures the relatedness of Finnish words as word vectors. This model can be used in various tasks such as metaphor interpretation. For usage, please refer to https://github.com/mikahama/finmeter (https://doi.org/10.5281/zenodo.3474297) Context This data has been produced for poem generation in Finnish. If you use this dataset in your publication, please cite: Hämäläinen, M., & Alnajjar, K. (2019). Let’s FACE it: Finnish Poetry Generation with...
Computers have increased the binding between science data and knowledge. However, what current computers can and can’t do is often unclear. This distinction can be clarified by positing that computers are only syntactic engines and that humans are the only semantic engines. It will be asserted that computers can create know-how and know-of knowledge. Although com-puters are very useful is helping humans gain know-that knowledge, but they cannot create know-that knowledge.
Context This dataset is covered in detail in the following publication: Hämäläinen, Mika. (2018). Extracting a Semantic Database with Syntactic Relations for Finnish to Boost Resources for Endangered Uralic Languages. In The Proceedings of Logic and Engineering of Natural Language Semantics 15 (LENLS15) Content This SQLite database (available in https://zenodo.org/record/1463685) contains Finnish lemmas and their frequencies in a big corpus. The lemmas are linked to each other based on the...
At 22.5.2019 the RDA GEDE Digital Object Topic Group organised a Web-Workshop on the "Adaptation of Repositories to the Digital Object Interface Protocol". This file contains the full recording in mp4 format.
Code accompanying the publication "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions". Since the introduction of the World Wide Web in the 1990s, available information for research purposes has increased exponentially leading to a significant proliferation of web-based research. Nowadays it is common the use of internet-based databases which are obtained by either primary data online surveys or secondary official and non-official registers....
The Mutual Information System on Social Protection of the Council of Europe (MISSCEO) aims to promote the exchange of information on social protection in the member states of the Council of Europe (which are European countries that are not members of the European Union (EU) or the European Economic Area (EEA)) and Australia, Canada and New Zealand. Its website provides regularly updated comparatives tables and country information on social protection systems since 1999. The tables follow the...
Large Infrastructures follow certain patterns during their evolution. The paper looks into three examples (electrification, Internet, WorldWide Web), extracts some reoccuring patterns and finally compares it with th state and potential of the data domain. Summarising it states that we seem to be close to a convergence step, but that we lack the agreement yet on a fairly simple concept all could agree with and that can serve as commodity to build upon.
Eurostat is the statistical office of the European Commission. This website provides statistical information on many aspects of European societies free of charge. The Eurostat data are organized into nine statistical themes. Additionally these themes are subdivided into collections of data tables. Here we focus on data regarding work and employment.
Statistics on income, social inclusion and living conditions cover objective and subjective aspects of these themes in both monetary and non-monetary terms for both households and individuals. The following aspects of the topic are covered by the statistics: income poverty social exclusion housing labour education health
The Community Innovation Survey (CIS) based innovation statistics are part of the EU science and technology statistics. Surveys are carried out with two years' frequency by EU member states and number of ESS member countries. Compiling CIS data is voluntary to the countries, which means that in different surveys years different countries are involved. The CIS is a survey of innovation activity in enterprises. The harmonised survey is designed to provide information on the innovativeness of...
The EU LFS is a large household sample survey providing quarterly results on labour participation of people aged 15 and over as well as on persons outside the labour force. All definitions apply to persons aged 15 years and over living in private households. Persons carrying out obligatory military or community service are not included in the target group of the survey, as is also the case for persons in institutions/collective households.
At 22.5.2019 the RDA GEDE Digital Object Topic Group organised a Web-Workshop on the "Adaptation of Repositories to the Digital Object Interface Protocol". This file contains the full recording in g2m format. Other more popular formats may follow.
The attached document presents the evolution and current status of the proof of concept prototypes for the Generic Execution Framework (GEF) extensions and semantic services. These developments are grounded in the work performed by other WP8 tasks: analysis of requirements and technologies and modelling of data life cycle, directives and dynamic data.
B2FIND Highlevel Overview : Finding data objects and collections through EUDAT's B2FIND web based discovery portal
Context This data has been produced for poem generation in Finnish. If you use this dataset in your publication, please cite: Hämäläinen, M., & Alnajjar, K. (2019). Let’s FACE it: Finnish Poetry Generation with Aesthetics and Framing. In K. V. Deemter, C. Lin, & H. Takamura (Eds.), 12th International Conference on Natural Language Generation: Proceedings of the Conference (pp. 290-300). Stroudsburg, PA: The Association for Computational Linguistics. Content This contains a list of Finnish...