Matches in ScholarlyData for { ?s ?p ?o. }
- 454 keyword "routing selection".
- 454 keyword "sitemap".
- 454 title "iRobot: An Intelligent Crawler for Web Forums".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasLastItem item-5.
- item-1 type ListItem.
- item-1 hasContent rui-cai.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent jiang-ming-yang.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent wei-lai.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent yida-wang.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent lei-zhang-2.
- item-5 previous item-4.
- 457 creator canhui-wang.
- 457 creator liyun-ru.
- 457 creator min-zhang.
- 457 creator shaoping-ma.
- 457 type InProceedings.
- 457 label "Automatic Online News Issue Construction in Web Environment".
- 457 sameAs 457.
- 457 abstract "In many cases, rather than a keyword search, people intend to see what is going on through the Internet. Then the integrated comprehensive information on news topics is necessary, which we called news issues, including the background, history, current progress, different opinions and discussions, etc. Traditionally, news issues are manually generated by website editors. It is quite a time-consuming hard work, and hence real-time update is difficult to perform. In this paper, a three-step automatic online algorithm for news issue construction is proposed. The first step is a topic detection process, in which newly appearing stories are clustered into new topic candidates. The second step is a topic tracking process, where those candidates are compared with previous topics, either merged into old ones or generating a new one. In the final step, news issues are constructed by the combination of related topics and updated by the insertion of new topics. An automatic online news issue construction process under practical Web circumstances is simulated to perform news issue construction experiments. F-measure of the best results is either above (topic detection) or close to (topic detection and tracking) 90%. Four news issue construction results are successfully generated in different time granularities: one meets the needs like “what’s new”, and the other three will answer questions like “what’s hot” or “what’s going on”. Through the proposed algorithm, news issues can be effectively and automatically constructed with real-time update, and lots of human efforts will be released from tedious manual work.".
- 457 hasAuthorList authorList.
- 457 hasTopic World_Wide_Web.
- 457 isPartOf proceedings.
- 457 keyword "Clustering".
- 457 keyword "News issue".
- 457 keyword "Topic detection and tracking".
- 457 title "Automatic Online News Issue Construction in Web Environment".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent canhui-wang.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent min-zhang.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent shaoping-ma.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent liyun-ru.
- item-4 previous item-3.
- 462 creator eric-horvitz.
- 462 creator jure-leskovec.
- 462 type InProceedings.
- 462 label "Planetary-Scale Views on a Large Instant-Messaging Network".
- 462 sameAs 462.
- 462 abstract "We present a study of anonymized data representing high-level communication activities within the Microsoft Messenger instant-messaging network. We analyze properties of the network defined by user interactions and demographics, as reported and derived from one month of data collected in June 2006. The compressed dataset occupies 4.5 terabytes, composed from 1 billion conversations per day (150 gigabytes) collected over one month of logging. The dataset contains more than 30 billion conversations among 240 million people. The network is the largest social network analyzed to date. We analyze high-level characteristics and patterns that emerge from the collective dynamics of large numbers of people, rather than the actions and characteristics of individuals. Analyses center on numbers and durations of conversations; the content of communications was neither available nor pursued. From the data, we construct a communication graph with 190 million nodes and 1.3 billion undirected edges. We find that the graph is well connected, with an effective diameter of 7.8, and is highly clustered, with a clustering coefficient that decays slowly with exponent $-0.4$. We also find strong influences of homophily in activities, where people with similar characteristics overall tend to communicate more with one another, with the exception of gender, where we find cross-gender conversations are both more frequent and of longer duration than conversations with the same gender.".
- 462 hasAuthorList authorList.
- 462 hasTopic World_Wide_Web.
- 462 isPartOf proceedings.
- 462 keyword "communication networks".
- 462 keyword "instant messaging".
- 462 keyword "large data".
- 462 keyword "social networks".
- 462 keyword "user demographics".
- 462 title "Planetary-Scale Views on a Large Instant-Messaging Network".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent jure-leskovec.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent eric-horvitz.
- item-2 previous item-1.
- 482 creator edward-thomas.
- 482 creator giorgos-stamou.
- 482 creator giorgos-stoilos.
- 482 creator jeff-z-pan.
- 482 creator stuart-taylor.
- 482 type InProceedings.
- 482 label "Scalable Querying Services over Fuzzy Ontologies".
- 482 sameAs 482.
- 482 abstract "Fuzzy ontologies are envisioned to be useful in the Semantic Web. Existing fuzzy ontology reasoners are not scalable enough to handle the scale of data that the Web provides. In this paper, we propose a framework of fuzzy query languages for fuzzy ontologies, and present query answering algorithms for these query languages over fuzzy DL-Lite ontologies. Moreover, this paper reports on implementation of our approach in the fuzzy DL-Lite query engine in the ONTOSEARCH2 system and preliminary, but encouraging, benchmarking results. To the best of our knowledge, this is the first ever scalable query engine for fuzzy ontologies.".